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2020 – today
- 2024
[j65]Ali Ramezani-Kebrya, Kimon Antonakopoulos, Volkan Cevher, Ashish Khisti, Ben Liang:
On the Generalization of Stochastic Gradient Descent with Momentum. J. Mach. Learn. Res. 25: 22:1-22:56 (2024)- [j64]Fanghui Liu, Leello Tadesse Dadi, Volkan Cevher:
Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks. J. Mach. Learn. Res. 25: 138:1-138:42 (2024) - [j63]Panayotis Mertikopoulos
, Ya-Ping Hsieh, Volkan Cevher:
A unified stochastic approximation framework for learning in games. Math. Program. 203(1): 559-609 (2024) - [j62]Wanyun Xie, Thomas Pethick, Ali Ramezani-Kebrya, Volkan Cevher:
Mixed Nash for Robust Federated Learning. Trans. Mach. Learn. Res. 2024 (2024) - [c213]Vyas Raina, Samson Tan, Volkan Cevher, Aditya Rawal, Sheng Zha, George Karypis:
Extreme Miscalibration and the Illusion of Adversarial Robustness. ACL (1) 2024: 2500-2525 - [c212]Ruichen Jiang, Parameswaran Raman, Shoham Sabach, Aryan Mokhtari, Mingyi Hong, Volkan Cevher:
Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate. AISTATS 2024: 4411-4419 - [c211]Elías Abad-Rocamora, Fanghui Liu, Grigorios Chrysos, Pablo M. Olmos, Volkan Cevher:
Efficient local linearity regularization to overcome catastrophic overfitting. ICLR 2024 - [c210]Artem Agafonov, Dmitry Kamzolov, Alexander V. Gasnikov, Ali Kavis, Kimon Antonakopoulos, Volkan Cevher, Martin Takác:
Advancing the Lower Bounds: an Accelerated, Stochastic, Second-order Method with Optimal Adaptation to Inexactness. ICLR 2024 - [c209]Yihang Chen, Fanghui Liu, Yiping Lu, Grigorios Chrysos, Volkan Cevher:
Generalization of Scaled Deep ResNets in the Mean-Field Regime. ICLR 2024 - [c208]Yixin Cheng, Grigorios Chrysos, Markos Georgopoulos, Volkan Cevher:
Multilinear Operator Networks. ICLR 2024 - [c207]Ioannis Mavrothalassitis, Stratis Skoulakis, Leello Tadesse Dadi, Volkan Cevher:
Efficient Continual Finite-Sum Minimization. ICLR 2024 - [c206]Alexander Robey, Fabian Latorre, George J. Pappas, Hamed Hassani, Volkan Cevher:
Adversarial Training Should Be Cast as a Non-Zero-Sum Game. ICLR 2024 - [c205]Yongtao Wu, Fanghui Liu, Carl-Johann Simon-Gabriel, Grigorios Chrysos, Volkan Cevher:
Robust NAS under adversarial training: benchmark, theory, and beyond. ICLR 2024 - [c204]Elías Abad-Rocamora, Yongtao Wu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher:
Revisiting Character-level Adversarial Attacks for Language Models. ICML 2024 - [c203]Arshia Afzal, Grigorios Chrysos, Volkan Cevher, Mahsa Shoaran:
REST: Efficient and Accelerated EEG Seizure Analysis through Residual State Updates. ICML 2024 - [c202]Yihang Chen, Fanghui Liu, Taiji Suzuki, Volkan Cevher:
High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization. ICML 2024 - [c201]Justin Deschenaux, Igor Krawczuk, Grigorios Chrysos, Volkan Cevher:
Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations. ICML 2024 - [c200]Adrian Müller, Pragnya Alatur, Volkan Cevher, Giorgia Ramponi, Niao He:
Truly No-Regret Learning in Constrained MDPs. ICML 2024 - [c199]Kaan Ozkara, Can Karakus, Parameswaran Raman, Mingyi Hong, Shoham Sabach, Branislav Kveton, Volkan Cevher:
MADA: Meta-Adaptive Optimizers Through Hyper-Gradient Descent. ICML 2024 - [c198]Pol Puigdemont, Stratis Skoulakis, Grigorios Chrysos, Volkan Cevher:
Learning to Remove Cuts in Integer Linear Programming. ICML 2024 - [c197]Anton Rodomanov, Ali Kavis, Yongtao Wu, Kimon Antonakopoulos, Volkan Cevher:
Universal Gradient Methods for Stochastic Convex Optimization. ICML 2024 - [c196]Luca Viano, Stratis Skoulakis, Volkan Cevher:
Imitation Learning in Discounted Linear MDPs without exploration assumptions. ICML 2024 - [c195]Wanyun Xie, Fabian Latorre, Kimon Antonakopoulos, Thomas Pethick, Volkan Cevher:
Improving SAM Requires Rethinking its Optimization Formulation. ICML 2024 - [c194]Youngsuk Park, Kailash Budhathoki, Liangfu Chen, Jonas M. Kübler, Jiaji Huang, Matthäus Kleindessner, Jun Huan, Volkan Cevher, Yida Wang, George Karypis:
Inference Optimization of Foundation Models on AI Accelerators. KDD 2024: 6605-6615 - [c193]Moritz Haas, Jin Xu, Volkan Cevher, Leena Chennuru Vankadara:
μP2: Effective Sharpness Aware Minimization Requires Layerwise Perturbation Scaling. NeurIPS 2024 - [c192]Wanyun Xie, Thomas Pethick, Volkan Cevher:
SAMPa: Sharpness-aware Minimization Parallelized. NeurIPS 2024 - [i153]Ruichen Jiang, Parameswaran Raman, Shoham Sabach, Aryan Mokhtari, Mingyi Hong, Volkan Cevher:
Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate. CoRR abs/2401.03058 (2024) - [i152]Kaan Ozkara, Can Karakus, Parameswaran Raman, Mingyi Hong, Shoham Sabach, Branislav Kveton, Volkan Cevher:
MADA: Meta-Adaptive Optimizers through hyper-gradient Descent. CoRR abs/2401.08893 (2024) - [i151]Leello Tadesse Dadi, Ioannis Panageas, Stratis Skoulakis, Luca Viano, Volkan Cevher:
Polynomial Convergence of Bandit No-Regret Dynamics in Congestion Games. CoRR abs/2401.09628 (2024) - [i150]Elías Abad-Rocamora, Fanghui Liu, Grigorios G. Chrysos, Pablo M. Olmos, Volkan Cevher:
Efficient local linearity regularization to overcome catastrophic overfitting. CoRR abs/2401.11618 (2024) - [i149]Yixin Cheng, Grigorios G. Chrysos, Markos Georgopoulos, Volkan Cevher:
Multilinear Operator Networks. CoRR abs/2401.17992 (2024) - [i148]Yixin Cheng, Markos Georgopoulos, Volkan Cevher, Grigorios G. Chrysos:
Leveraging the Context through Multi-Round Interactions for Jailbreaking Attacks. CoRR abs/2402.09177 (2024) - [i147]Adrian Müller, Pragnya Alatur, Volkan Cevher, Giorgia Ramponi, Niao He:
Truly No-Regret Learning in Constrained MDPs. CoRR abs/2402.15776 (2024) - [i146]Vyas Raina, Samson Tan, Volkan Cevher, Aditya Rawal, Sheng Zha, George Karypis:
Extreme Miscalibration and the Illusion of Adversarial Robustness. CoRR abs/2402.17509 (2024) - [i145]Yihang Chen, Fanghui Liu, Yiping Lu, Grigorios G. Chrysos, Volkan Cevher:
Generalization of Scaled Deep ResNets in the Mean-Field Regime. CoRR abs/2403.09889 (2024) - [i144]Yongtao Wu, Fanghui Liu, Carl-Johann Simon-Gabriel, Grigorios G. Chrysos, Volkan Cevher:
Robust NAS under adversarial training: benchmark, theory, and beyond. CoRR abs/2403.13134 (2024) - [i143]Fanghui Liu, Leello Tadesse Dadi, Volkan Cevher:
Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks. CoRR abs/2404.18769 (2024) - [i142]Luca Viano, Stratis Skoulakis, Volkan Cevher:
Imitation Learning in Discounted Linear MDPs without exploration assumptions. CoRR abs/2405.02181 (2024) - [i141]Elías Abad-Rocamora, Yongtao Wu, Fanghui Liu, Grigorios G. Chrysos, Volkan Cevher:
Revisiting character-level adversarial attacks. CoRR abs/2405.04346 (2024) - [i140]Angeliki Kamoutsi, Peter Schmitt-Förster, Tobias Sutter, Volkan Cevher, John Lygeros:
Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces. CoRR abs/2405.15509 (2024) - [i139]Sonny Achten, Francesco Tonin, Volkan Cevher, Johan A. K. Suykens:
HeNCler: Node Clustering in Heterophilous Graphs through Learned Asymmetric Similarity. CoRR abs/2405.17050 (2024) - [i138]Justin Deschenaux, Igor Krawczuk, Grigorios Chrysos, Volkan Cevher:
Going beyond compositional generalization, DDPMs can produce zero-shot interpolation. CoRR abs/2405.19201 (2024) - [i137]Yihang Chen, Fanghui Liu, Taiji Suzuki, Volkan Cevher:
High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization. CoRR abs/2406.03171 (2024) - [i136]Ioannis Mavrothalassitis, Stratis Skoulakis, Leello Tadesse Dadi, Volkan Cevher:
Efficient Continual Finite-Sum Minimization. CoRR abs/2406.04731 (2024) - [i135]Arshia Afzal, Grigorios Chrysos, Volkan Cevher, Mahsa Shoaran:
REST: Efficient and Accelerated EEG Seizure Analysis through Residual State Updates. CoRR abs/2406.16906 (2024) - [i134]Pol Puigdemont, Stratis Skoulakis, Grigorios Chrysos, Volkan Cevher:
Learning to Remove Cuts in Integer Linear Programming. CoRR abs/2406.18781 (2024) - [i133]Youngsuk Park, Kailash Budhathoki, Liangfu Chen, Jonas M. Kübler, Jiaji Huang, Matthäus Kleindessner, Jun Huan, Volkan Cevher, Yida Wang, George Karypis:
Inference Optimization of Foundation Models on AI Accelerators. CoRR abs/2407.09111 (2024) - [i132]Wanyun Xie, Fabian Latorre, Kimon Antonakopoulos, Thomas Pethick, Volkan Cevher:
Improving SAM Requires Rethinking its Optimization Formulation. CoRR abs/2407.12993 (2024) - [i131]Beatriz Borges, Negar Foroutan, Deniz Bayazit, Anna Sotnikova, Syrielle Montariol, Tanya Nazaretzky, Mohammadreza Banaei, Alireza Sakhaeirad, Philippe Servant, Seyed Parsa Neshaei, Jibril Frej, Angelika Romanou, Gail Weiss, Sepideh Mamooler, Zeming Chen, Simin Fan, Silin Gao, Mete Ismayilzada, Debjit Paul, Alexandre Schöpfer, Andrej Janchevski, Anja Tiede, Clarence Linden, Emanuele Troiani, Francesco Salvi, Freya Behrens, Giacomo Orsi, Giovanni Piccioli, Hadrien Sevel, Louis Coulon, Manuela Pineros-Rodriguez, Marin Bonnassies, Pierre Hellich, Puck van Gerwen, Sankalp Gambhir, Solal Pirelli, Thomas Blanchard, Timothée Callens, Toni Abi Aoun, Yannick Calvino Alonso, Yuri Cho, Alberto Silvio Chiappa, Antonio Sclocchi, Étienne Bruno, Florian Hofhammer, Gabriel Pescia, Geovani Rizk, Leello Dadi, Lucas Stoffl, Manoel Horta Ribeiro, Matthieu Bovel, Yueyang Pan, Aleksandra Radenovic, Alexandre Alahi, Alexander Mathis, Anne-Florence Bitbol, Boi Faltings, Cécile Hébert, Devis Tuia, François Maréchal, George Candea, Giuseppe Carleo, Jean-Cédric Chappelier, Nicolas Flammarion, Jean-Marie Fürbringer, Jean-Philippe Pellet, Karl Aberer, Lenka Zdeborová, Marcel Salathé, Martin Jaggi, Martin Rajman, Mathias Payer, Matthieu Wyart, Michael Gastpar, Michele Ceriotti, Ola Svensson, Olivier Lévêque, Paolo Ienne, Rachid Guerraoui, Robert West, Sanidhya Kashyap, Valerio Piazza, Viesturs Simanis, Viktor Kuncak, Volkan Cevher, Philippe Schwaller, Sacha Friedli, Patrick Jermann, Tanja Käser, Antoine Bosselut:
Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants. CoRR abs/2408.11841 (2024) - [i130]Soumajyoti Sarkar, Leonard Lausen, Volkan Cevher, Sheng Zha, Thomas Brox, George Karypis:
Revisiting SMoE Language Models by Evaluating Inefficiencies with Task Specific Expert Pruning. CoRR abs/2409.01483 (2024) - [i129]Wanyun Xie, Thomas Pethick, Volkan Cevher:
SAMPa: Sharpness-aware Minimization Parallelized. CoRR abs/2410.10683 (2024) - [i128]Zhiqi Bu, Xiaomeng Jin, Bhanukiran Vinzamuri, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Mingyi Hong:
Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate. CoRR abs/2410.22086 (2024) - [i127]Moritz Haas, Jin Xu, Volkan Cevher, Leena Chennuru Vankadara:
μ P2: Effective Sharpness Aware Minimization Requires Layerwise Perturbation Scaling. CoRR abs/2411.00075 (2024) - [i126]Zhan Li, Yongtao Wu, Yihang Chen, Francesco Tonin, Elías Abad-Rocamora, Volkan Cevher:
Membership Inference Attacks against Large Vision-Language Models. CoRR abs/2411.02902 (2024) - [i125]Daniel Morales-Brotons, Grigorios Chrysos, Stratis Tzoumas, Volkan Cevher:
The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation. CoRR abs/2411.18728 (2024) - 2023
- [j61]Thomas Pethick, Grigorios Chrysos, Volkan Cevher:
Revisiting adversarial training for the worst-performing class. Trans. Mach. Learn. Res. 2023 (2023) - [j60]Ali Ramezani-Kebrya, Fanghui Liu, Thomas Pethick, Grigorios Chrysos, Volkan Cevher:
Federated Learning under Covariate Shifts with Generalization Guarantees. Trans. Mach. Learn. Res. 2023 (2023) - [c191]Junaid Ali, Matthäus Kleindessner, Florian Wenzel, Kailash Budhathoki, Volkan Cevher, Chris Russell:
Evaluating the Fairness of Discriminative Foundation Models in Computer Vision. AIES 2023: 809-833 - [c190]Grigorios G. Chrysos, Bohan Wang, Jiankang Deng, Volkan Cevher:
Regularization of polynomial networks for image recognition. CVPR 2023: 16123-16132 - [c189]Fabian Latorre, Igor Krawczuk, Leello Tadesse Dadi, Thomas Pethick, Volkan Cevher:
Finding Actual Descent Directions for Adversarial Training. ICLR 2023 - [c188]Thomas Pethick, Olivier Fercoq, Puya Latafat, Panagiotis Patrinos, Volkan Cevher:
Solving stochastic weak Minty variational inequalities without increasing batch size. ICLR 2023 - [c187]Ali Ramezani-Kebrya, Kimon Antonakopoulos, Igor Krawczuk, Justin Deschenaux, Volkan Cevher:
Distributed Extra-gradient with Optimal Complexity and Communication Guarantees. ICLR 2023 - [c186]Clément Vignac, Igor Krawczuk, Antoine Siraudin, Bohan Wang, Volkan Cevher, Pascal Frossard:
DiGress: Discrete Denoising diffusion for graph generation. ICLR 2023 - [c185]Fanghui Liu, Luca Viano, Volkan Cevher:
What can online reinforcement learning with function approximation benefit from general coverage conditions? ICML 2023: 22063-22091 - [c184]Ioannis Panageas, Stratis Skoulakis, Luca Viano, Xiao Wang, Volkan Cevher:
Semi Bandit dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees. ICML 2023: 26904-26930 - [c183]Harvineet Singh, Matthäus Kleindessner, Volkan Cevher, Rumi Chunara, Chris Russell:
When do Minimax-fair Learning and Empirical Risk Minimization Coincide? ICML 2023: 31969-31989 - [c182]Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Francesco Locatello, Volkan Cevher:
Benign Overfitting in Deep Neural Networks under Lazy Training. ICML 2023: 43105-43128 - [c181]Jiayuan Ye, Zhenyu Zhu, Fanghui Liu, Reza Shokri, Volkan Cevher:
Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks. NeurIPS 2023 - [c180]Lorenzo Brusca, Lars C. P. M. Quaedvlieg, Stratis Skoulakis, Grigorios Chrysos, Volkan Cevher:
Maximum Independent Set: Self-Training through Dynamic Programming. NeurIPS 2023 - [c179]Volkan Cevher, Ashok Cutkosky, Ali Kavis, Georgios Piliouras, Stratis Skoulakis, Luca Viano:
Alternation makes the adversary weaker in two-player games. NeurIPS 2023 - [c178]Dimitris Christou, Stratis Skoulakis, Volkan Cevher:
Efficient Online Clustering with Moving Costs. NeurIPS 2023 - [c177]Ioannis Panageas, Nikolas Patris, Stratis Skoulakis, Volkan Cevher:
Exponential Lower Bounds for Fictitious Play in Potential Games. NeurIPS 2023 - [c176]Thomas Pethick, Wanyun Xie, Volkan Cevher:
Stable Nonconvex-Nonconcave Training via Linear Interpolation. NeurIPS 2023 - [c175]Yongtao Wu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher:
On the Convergence of Encoder-only Shallow Transformers. NeurIPS 2023 - [c174]Zhenyu Zhu, Francesco Locatello, Volkan Cevher:
Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling. NeurIPS 2023 - [c173]Volkan Cevher, Georgios Piliouras, Ryann Sim, Stratis Skoulakis:
Min-Max Optimization Made Simple: Approximating the Proximal Point Method via Contraction Maps. SOSA 2023: 192-206 - [i124]Volkan Cevher, Georgios Piliouras, Ryann Sim, Stratis Skoulakis:
Min-Max Optimization Made Simple: Approximating the Proximal Point Method via Contraction Maps. CoRR abs/2301.03931 (2023) - [i123]Thomas Pethick, Grigorios G. Chrysos, Volkan Cevher:
Revisiting adversarial training for the worst-performing class. CoRR abs/2302.08872 (2023) - [i122]Thomas Pethick, Olivier Fercoq, Puya Latafat, Panagiotis Patrinos, Volkan Cevher:
Solving stochastic weak Minty variational inequalities without increasing batch size. CoRR abs/2302.09029 (2023) - [i121]Thomas Pethick, Puya Latafat, Panagiotis Patrinos, Olivier Fercoq, Volkan Cevher:
Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems. CoRR abs/2302.09831 (2023) - [i120]Grigorios G. Chrysos, Bohan Wang, Jiankang Deng, Volkan Cevher:
Regularization of polynomial networks for image recognition. CoRR abs/2303.13896 (2023) - [i119]Fanghui Liu, Luca Viano, Volkan Cevher:
Provable benefits of general coverage conditions in efficient online RL with function approximation. CoRR abs/2304.12886 (2023) - [i118]Zhenyu Zhu, Fanghui Liu, Grigorios G. Chrysos, Francesco Locatello, Volkan Cevher:
Benign Overfitting in Deep Neural Networks under Lazy Training. CoRR abs/2305.19377 (2023) - [i117]Ali Ramezani-Kebrya, Fanghui Liu, Thomas Pethick, Grigorios Chrysos, Volkan Cevher:
Federated Learning under Covariate Shifts with Generalization Guarantees. CoRR abs/2306.05325 (2023) - [i116]Alexander Robey, Fabian Latorre, George J. Pappas, Hamed Hassani, Volkan Cevher:
Adversarial Training Should Be Cast as a Non-Zero-Sum Game. CoRR abs/2306.11035 (2023) - [i115]Ioannis Panageas, Stratis Skoulakis, Luca Viano, Xiao Wang, Volkan Cevher:
Semi Bandit Dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees. CoRR abs/2306.15543 (2023) - [i114]Ali Ramezani-Kebrya, Kimon Antonakopoulos, Igor Krawczuk, Justin Deschenaux, Volkan Cevher:
Distributed Extra-gradient with Optimal Complexity and Communication Guarantees. CoRR abs/2308.09187 (2023) - [i113]Ioannis Panageas, Nikolas Patris, Stratis Skoulakis, Volkan Cevher:
Exponential Lower Bounds for Fictitious Play in Potential Games. CoRR abs/2310.02387 (2023) - [i112]Junaid Ali, Matthäus Kleindessner, Florian Wenzel, Kailash Budhathoki, Volkan Cevher, Chris Russell:
Evaluating the Fairness of Discriminative Foundation Models in Computer Vision. CoRR abs/2310.11867 (2023) - [i111]Thomas Pethick, Wanyun Xie, Volkan Cevher:
Stable Nonconvex-Nonconcave Training via Linear Interpolation. CoRR abs/2310.13459 (2023) - [i110]Zhenyu Zhu, Francesco Locatello, Volkan Cevher:
Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling. CoRR abs/2310.18123 (2023) - [i109]Lorenzo Brusca, Lars C. P. M. Quaedvlieg, Stratis Skoulakis, Grigorios G. Chrysos, Volkan Cevher:
Maximum Independent Set: Self-Training through Dynamic Programming. CoRR abs/2310.18672 (2023) - [i108]Jiayuan Ye, Zhenyu Zhu, Fanghui Liu, Reza Shokri, Volkan Cevher:
Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks. CoRR abs/2310.20579 (2023) - [i107]Yongtao Wu, Fanghui Liu, Grigorios G. Chrysos, Volkan Cevher:
On the Convergence of Encoder-only Shallow Transformers. CoRR abs/2311.01575 (2023) - 2022
- [j59]Deyi Liu, Volkan Cevher, Quoc Tran-Dinh:
A Newton Frank-Wolfe method for constrained self-concordant minimization. J. Glob. Optim. 83(2): 273-299 (2022) - [j58]Arda Uran, Kerim Türe, Cosimo Aprile, Alix Trouillet, Florian Fallegger, Emilie C. M. Revol, Azita Emami, Stéphanie P. Lacour, Catherine Dehollain, Yusuf Leblebici, Volkan Cevher:
A 16-Channel Neural Recording System-on-Chip With CHT Feature Extraction Processor in 65-nm CMOS. IEEE J. Solid State Circuits 57(9): 2752-2763 (2022) - [j57]Ahmet Alacaoglu, Olivier Fercoq, Volkan Cevher:
On the Convergence of Stochastic Primal-Dual Hybrid Gradient. SIAM J. Optim. 32(2): 1288-1318 (2022) - [c172]Gideon Dresdner, Maria-Luiza Vladarean, Gunnar Rätsch, Francesco Locatello, Volkan Cevher, Alp Yurtsever:
Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization. AISTATS 2022: 8439-8457 - [c171]Moulik Choraria, Leello Tadesse Dadi, Grigorios Chrysos, Julien Mairal, Volkan Cevher:
The Spectral Bias of Polynomial Neural Networks. ICLR 2022 - [c170]Ali Kavis, Kfir Yehuda Levy, Volkan Cevher:
High Probability Bounds for a Class of Nonconvex Algorithms with AdaGrad Stepsize. ICLR 2022 - [c169]Thomas Pethick, Puya Latafat, Panos Patrinos, Olivier Fercoq, Volkan Cevher:
Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems. ICLR 2022 - [c168]Zhenyu Zhu, Fabian Latorre, Grigorios Chrysos, Volkan Cevher:
Controlling the Complexity and Lipschitz Constant improves Polynomial Nets. ICLR 2022 - [c167]Ahmet Alacaoglu, Luca Viano, Niao He, Volkan Cevher:
A Natural Actor-Critic Framework for Zero-Sum Markov Games. ICML 2022: 307-366 - [c166]Kimon Antonakopoulos, Dong Quan Vu, Volkan Cevher, Kfir Y. Levy, Panayotis Mertikopoulos:
UnderGrad: A Universal Black-Box Optimization Method with Almost Dimension-Free Convergence Rate Guarantees. ICML 2022: 772-795 - [c165]Paul Rolland, Volkan Cevher, Matthäus Kleindessner, Chris Russell, Dominik Janzing, Bernhard Schölkopf, Francesco Locatello:
Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models. ICML 2022: 18741-18753 - [c164]Fanghui Liu, Johan A. K. Suykens, Volkan Cevher:
On the Double Descent of Random Features Models Trained with SGD. NeurIPS 2022 - [c163]Fanghui Liu, Luca Viano, Volkan Cevher:
Understanding Deep Neural Function Approximation in Reinforcement Learning via $\epsilon$-Greedy Exploration. NeurIPS 2022 - [c162]Elías Abad-Rocamora, Mehmet Fatih Sahin, Fanghui Liu, Grigorios Chrysos, Volkan Cevher:
Sound and Complete Verification of Polynomial Networks. NeurIPS 2022 - [c161]Kimon Antonakopoulos, Ali Kavis, Volkan Cevher:
Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods. NeurIPS 2022 - [c160]Yu-Guan Hsieh, Kimon Antonakopoulos, Volkan Cevher, Panayotis Mertikopoulos:
No-regret learning in games with noisy feedback: Faster rates and adaptivity via learning rate separation. NeurIPS 2022 - [c159]Ali Kavis, Stratis Skoulakis, Kimon Antonakopoulos, Leello Tadesse Dadi, Volkan Cevher:
Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization. NeurIPS 2022 - [c158]Paul Rolland, Luca Viano, Norman Schürhoff, Boris Nikolov, Volkan Cevher:
Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning. NeurIPS 2022 - [c157]Luca Viano, Angeliki Kamoutsi, Gergely Neu, Igor Krawczuk, Volkan Cevher:
Proximal Point Imitation Learning. NeurIPS 2022 - [c156]Yongtao Wu, Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher:
Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study. NeurIPS 2022 - [c155]Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher:
Generalization Properties of NAS under Activation and Skip Connection Search. NeurIPS 2022 - [c154]Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher:
Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization). NeurIPS 2022 - [i106]Ahmet Alacaoglu, Volkan Cevher, Stephen J. Wright:
On the Complexity of a Practical Primal-Dual Coordinate Method. CoRR abs/2201.07684 (2022) - [i105]Zhenyu Zhu, Fabian Latorre, Grigorios G. Chrysos, Volkan Cevher:
Controlling the Complexity and Lipschitz Constant improves polynomial nets. CoRR abs/2202.05068 (2022) - [i104]Gideon Dresdner, Maria-Luiza Vladarean, Gunnar Rätsch, Francesco Locatello, Volkan Cevher, Alp Yurtsever:
Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization. CoRR abs/2202.13212 (2022) - [i103]Moulik Choraria, Leello Tadesse Dadi, Grigorios Chrysos, Julien Mairal, Volkan Cevher:
The Spectral Bias of Polynomial Neural Networks. CoRR abs/2202.13473 (2022) - [i102]Paul Rolland, Volkan Cevher, Matthäus Kleindessner, Chris Russell, Bernhard Schölkopf, Dominik Janzing, Francesco Locatello:
Score matching enables causal discovery of nonlinear additive noise models. CoRR abs/2203.04413 (2022) - [i101]Ali Kavis, Kfir Yehuda Levy, Volkan Cevher:
High Probability Bounds for a Class of Nonconvex Algorithms with AdaGrad Stepsize. CoRR abs/2204.02833 (2022) - [i100]Panayotis Mertikopoulos, Ya-Ping Hsieh, Volkan Cevher:
Learning in games from a stochastic approximation viewpoint. CoRR abs/2206.03922 (2022) - [i99]Yu-Guan Hsieh, Kimon Antonakopoulos, Volkan Cevher, Panayotis Mertikopoulos:
No-Regret Learning in Games with Noisy Feedback: Faster Rates and Adaptivity via Learning Rate Separation. CoRR abs/2206.06015 (2022) - [i98]Yongtao Wu, Grigorios G. Chrysos, Volkan Cevher:
Adversarial Audio Synthesis with Complex-valued Polynomial Networks. CoRR abs/2206.06811 (2022) - [i97]Elías Abad-Rocamora, Mehmet Fatih Sahin, Fanghui Liu, Grigorios G. Chrysos, Volkan Cevher:
Sound and Complete Verification of Polynomial Networks. CoRR abs/2209.07235 (2022) - [i96]Zhenyu Zhu, Fanghui Liu, Grigorios G. Chrysos, Volkan Cevher:
Generalization Properties of NAS under Activation and Skip Connection Search. CoRR abs/2209.07238 (2022) - [i95]Zhenyu Zhu, Fanghui Liu, Grigorios G. Chrysos, Volkan Cevher:
Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization). CoRR abs/2209.07263 (2022) - [i94]Fanghui Liu, Luca Viano, Volkan Cevher:
Understanding Deep Neural Function Approximation in Reinforcement Learning via ε-Greedy Exploration. CoRR abs/2209.07376 (2022) - [i93]Yongtao Wu, Zhenyu Zhu, Fanghui Liu, Grigorios G. Chrysos, Volkan Cevher:
Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study. CoRR abs/2209.07736 (2022) - [i92]Luca Viano, Angeliki Kamoutsi, Gergely Neu, Igor Krawczuk, Volkan Cevher:
Proximal Point Imitation Learning. CoRR abs/2209.10968 (2022) - [i91]Paul Rolland, Luca Viano, Norman Schürhoff, Boris Nikolov, Volkan Cevher:
Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning. CoRR abs/2209.10974 (2022) - [i90]Clément Vignac, Igor Krawczuk, Antoine Siraudin, Bohan Wang, Volkan Cevher, Pascal Frossard:
DiGress: Discrete Denoising diffusion for graph generation. CoRR abs/2209.14734 (2022) - [i89]Kimon Antonakopoulos, Ali Kavis, Volkan Cevher:
Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods. CoRR abs/2211.01832 (2022) - [i88]Ali Kavis, Stratis Skoulakis, Kimon Antonakopoulos, Leello Tadesse Dadi, Volkan Cevher:
Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization. CoRR abs/2211.01851 (2022) - 2021
- [j56]Ahmet Alacaoglu, Yura Malitsky, Volkan Cevher:
Forward-reflected-backward method with variance reduction. Comput. Optim. Appl. 80(2): 321-346 (2021) - [j55]Lijun Ding, Alp Yurtsever, Volkan Cevher, Joel A. Tropp, Madeleine Udell:
An Optimal-Storage Approach to Semidefinite Programming Using Approximate Complementarity. SIAM J. Optim. 31(4): 2695-2725 (2021) - [j54]Alp Yurtsever, Joel A. Tropp, Olivier Fercoq, Madeleine Udell, Volkan Cevher:
Scalable Semidefinite Programming. SIAM J. Math. Data Sci. 3(1): 171-200 (2021) - [c153]Arda Uran, Kerim Türe, Cosimo Aprile, Alix Trouillet, Florian Fallegger, Azita Emami, Stéphanie P. Lacour, Catherine Dehollain, Yusuf Leblebici, Volkan Cevher:
A 16-Channel Wireless Neural Recording System-on-Chip with CHT Feature Extraction Processor in 65nm CMOS. CICC 2021: 1-2 - [c152]Zhaodong Sun, Fabian Latorre, Thomas Sanchez, Volkan Cevher:
A Plug-and-Play Deep Image Prior. ICASSP 2021: 8103-8107 - [c151]Nadav Hallak, Panayotis Mertikopoulos, Volkan Cevher:
Regret Minimization in Stochastic Non-Convex Learning via a Proximal-Gradient Approach. ICML 2021: 4008-4017 - [c150]Ya-Ping Hsieh, Panayotis Mertikopoulos, Volkan Cevher:
The Limits of Min-Max Optimization Algorithms: Convergence to Spurious Non-Critical Sets. ICML 2021: 4337-4348 - [c149]Maria-Luiza Vladarean, Yura Malitsky, Volkan Cevher:
A first-order primal-dual method with adaptivity to local smoothness. NeurIPS 2021: 6171-6182 - [c148]Chaehwan Song, Ali Ramezani-Kebrya, Thomas Pethick, Armin Eftekhari, Volkan Cevher:
Subquadratic Overparameterization for Shallow Neural Networks. NeurIPS 2021: 11247-11259 - [c147]Kimon Antonakopoulos, Thomas Pethick, Ali Kavis, Panayotis Mertikopoulos, Volkan Cevher:
Sifting through the noise: Universal first-order methods for stochastic variational inequalities. NeurIPS 2021: 13099-13111 - [c146]Ahmet Alacaoglu, Yura Malitsky, Volkan Cevher:
Convergence of adaptive algorithms for constrained weakly convex optimization. NeurIPS 2021: 14214-14225 - [c145]Kfir Y. Levy, Ali Kavis, Volkan Cevher:
STORM+: Fully Adaptive SGD with Recursive Momentum for Nonconvex Optimization. NeurIPS 2021: 20571-20582 - [c144]Fabian Latorre, Leello Tadesse Dadi, Paul Rolland, Volkan Cevher:
The Effect of the Intrinsic Dimension on the Generalization of Quadratic Classifiers. NeurIPS 2021: 21138-21149 - [c143]Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Adrian Weller, Volkan Cevher:
Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch. NeurIPS 2021: 25917-25931 - [i87]Aleksandr Timofeev, Grigorios G. Chrysos, Volkan Cevher:
Self-Supervised Neural Architecture Search for Imbalanced Datasets. CoRR abs/2109.08580 (2021) - [i86]Fanghui Liu, Johan A. K. Suykens, Volkan Cevher:
On the Double Descent of Random Features Models Trained with SGD. CoRR abs/2110.06910 (2021) - [i85]Maria-Luiza Vladarean, Yura Malitsky, Volkan Cevher:
A first-order primal-dual method with adaptivity to local smoothness. CoRR abs/2110.15148 (2021) - [i84]Kfir Y. Levy, Ali Kavis, Volkan Cevher:
STORM+: Fully Adaptive SGD with Momentum for Nonconvex Optimization. CoRR abs/2111.01040 (2021) - [i83]Chaehwan Song, Ali Ramezani-Kebrya, Thomas Pethick, Armin Eftekhari, Volkan Cevher:
Subquadratic Overparameterization for Shallow Neural Networks. CoRR abs/2111.01875 (2021) - 2020
- [j53]Junhong Lin, Volkan Cevher:
Convergences of Regularized Algorithms and Stochastic Gradient Methods with Random Projections. J. Mach. Learn. Res. 21: 20:1-20:44 (2020) - [j52]Junhong Lin, Volkan Cevher:
Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms. J. Mach. Learn. Res. 21: 147:1-147:63 (2020) - [j51]Quoc Tran-Dinh, Ahmet Alacaoglu, Olivier Fercoq, Volkan Cevher:
An adaptive primal-dual framework for nonsmooth convex minimization. Math. Program. Comput. 12(3): 451-491 (2020) - [j50]Waheed U. Bajwa, Volkan Cevher, Dimitris S. Papailiopoulos, Anna Scaglione:
Machine Learning From Distributed, Streaming Data [From the Guest Editors]. IEEE Signal Process. Mag. 37(3): 11-13 (2020) - [j49]Donghwan Lee, Niao He, Parameswaran Kamalaruban, Volkan Cevher:
Optimization for Reinforcement Learning: From a single agent to cooperative agents. IEEE Signal Process. Mag. 37(3): 123-135 (2020) - [c142]Thomas Sanchez, Baran Gözcü, Ruud B. van Heeswijk, Armin Eftekhari, Efe Ilicak, Tolga Çukur, Volkan Cevher:
Scalable Learning-Based Sampling Optimization for Compressive Dynamic MRI. ICASSP 2020: 8584-8588 - [c141]Fabian Latorre, Paul Rolland, Volkan Cevher:
Lipschitz constant estimation of Neural Networks via sparse polynomial optimization. ICLR 2020 - [c140]Ahmet Alacaoglu, Olivier Fercoq, Volkan Cevher:
Random extrapolation for primal-dual coordinate descent. ICML 2020: 191-201 - [c139]Ahmet Alacaoglu, Yura Malitsky, Panayotis Mertikopoulos, Volkan Cevher:
A new regret analysis for Adam-type algorithms. ICML 2020: 202-210 - [c138]Fabian Latorre, Paul Rolland, Nadav Hallak, Volkan Cevher:
Efficient Proximal Mapping of the 1-path-norm of Shallow Networks. ICML 2020: 5651-5661 - [c137]Paul Rolland, Armin Eftekhari, Ali Kavis, Volkan Cevher:
Double-Loop Unadjusted Langevin Algorithm. ICML 2020: 8169-8177 - [c136]Maria-Luiza Vladarean, Ahmet Alacaoglu, Ya-Ping Hsieh, Volkan Cevher:
Conditional gradient methods for stochastically constrained convex minimization. ICML 2020: 9775-9785 - [c135]Parameswaran Kamalaruban, Yu-Ting Huang, Ya-Ping Hsieh, Paul Rolland, Cheng Shi, Volkan Cevher:
Robust Reinforcement Learning via Adversarial training with Langevin Dynamics. NeurIPS 2020 - [c134]Panayotis Mertikopoulos, Nadav Hallak, Ali Kavis, Volkan Cevher:
On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems. NeurIPS 2020 - [i82]Parameswaran Kamalaruban, Yu-Ting Huang, Ya-Ping Hsieh, Paul Rolland, Cheng Shi, Volkan Cevher:
Robust Reinforcement Learning via Adversarial training with Langevin Dynamics. CoRR abs/2002.06063 (2020) - [i81]Deyi Liu, Volkan Cevher, Quoc Tran-Dinh:
A Newton Frank-Wolfe Method for Constrained Self-Concordant Minimization. CoRR abs/2002.07003 (2020) - [i80]Ahmet Alacaoglu, Yura Malitsky, Panayotis Mertikopoulos, Volkan Cevher:
A new regret analysis for Adam-type algorithms. CoRR abs/2003.09729 (2020) - [i79]Fabian Latorre, Paul Rolland, Volkan Cevher:
Lipschitz constant estimation of Neural Networks via sparse polynomial optimization. CoRR abs/2004.08688 (2020) - [i78]Ahmet Alacaoglu, Yura Malitsky, Volkan Cevher:
Convergence of adaptive algorithms for weakly convex constrained optimization. CoRR abs/2006.06650 (2020) - [i77]Ya-Ping Hsieh, Panayotis Mertikopoulos, Volkan Cevher:
The limits of min-max optimization algorithms: convergence to spurious non-critical sets. CoRR abs/2006.09065 (2020) - [i76]Panayotis Mertikopoulos, Nadav Hallak, Ali Kavis, Volkan Cevher:
On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems. CoRR abs/2006.11144 (2020) - [i75]Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher, Adish Singla:
Environment Shaping in Reinforcement Learning using State Abstraction. CoRR abs/2006.13160 (2020) - [i74]Martin Troussard, Emmanuel Pignat, Parameswaran Kamalaruban, Sylvain Calinon, Volkan Cevher:
Interaction-limited Inverse Reinforcement Learning. CoRR abs/2007.00425 (2020) - [i73]Fabian Latorre, Paul Rolland, Nadav Hallak, Volkan Cevher:
Efficient Proximal Mapping of the 1-path-norm of Shallow Networks. CoRR abs/2007.01003 (2020) - [i72]Paul Rolland, Armin Eftekhari, Ali Kavis, Volkan Cevher:
Double-Loop Unadjusted Langevin Algorithm. CoRR abs/2007.01147 (2020) - [i71]Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Volkan Cevher:
Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch. CoRR abs/2007.01174 (2020) - [i70]Maria-Luiza Vladarean, Ahmet Alacaoglu, Ya-Ping Hsieh, Volkan Cevher:
Conditional gradient methods for stochastically constrained convex minimization. CoRR abs/2007.03795 (2020) - [i69]Ahmet Alacaoglu, Olivier Fercoq, Volkan Cevher:
Random extrapolation for primal-dual coordinate descent. CoRR abs/2007.06528 (2020) - [i68]Nadav Hallak, Panayotis Mertikopoulos, Volkan Cevher:
Regret minimization in stochastic non-convex learning via a proximal-gradient approach. CoRR abs/2010.06250 (2020)
2010 – 2019
- 2019
- [j48]Yen-Huan Li, Volkan Cevher:
Convergence of the Exponentiated Gradient Method with Armijo Line Search. J. Optim. Theory Appl. 181(2): 588-607 (2019) - [j47]Volkan Cevher, Bang Công Vu:
On the linear convergence of the stochastic gradient method with constant step-size. Optim. Lett. 13(5): 1177-1187 (2019) - [j46]Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher:
Streaming Low-Rank Matrix Approximation with an Application to Scientific Simulation. SIAM J. Sci. Comput. 41(4): A2430-A2463 (2019) - [j45]Rabeeh Karimi Mahabadi, Junhong Lin, Volkan Cevher:
A Learning-Based Framework for Quantized Compressed Sensing. IEEE Signal Process. Lett. 26(6): 883-887 (2019) - [c133]Teresa Yeo, Parameswaran Kamalaruban, Adish Singla, Arpit Merchant, Thibault Asselborn, Louis Faucon, Pierre Dillenbourg, Volkan Cevher:
Iterative Classroom Teaching. AAAI 2019: 5684-5692 - [c132]Baran Gözcü, Thomas Sanchez, Volkan Cevher:
Rethinking Sampling in Parallel MRI: A Data-Driven Approach. EUSIPCO 2019: 1-5 - [c131]Olivier Fercoq, Ahmet Alacaoglu, Ion Necoara, Volkan Cevher:
Almost surely constrained convex optimization. ICML 2019: 1910-1919 - [c130]Ya-Ping Hsieh, Chen Liu, Volkan Cevher:
Finding Mixed Nash Equilibria of Generative Adversarial Networks. ICML 2019: 2810-2819 - [c129]Chen Liu, Ryota Tomioka, Volkan Cevher:
On Certifying Non-Uniform Bounds against Adversarial Attacks. ICML 2019: 4072-4081 - [c128]Paul Rolland, Ali Kavis, Alexander Immer, Adish Singla, Volkan Cevher:
Efficient learning of smooth probability functions from Bernoulli tests with guarantees. ICML 2019: 5459-5467 - [c127]Alp Yurtsever, Olivier Fercoq, Volkan Cevher:
A Conditional-Gradient-Based Augmented Lagrangian Framework. ICML 2019: 7272-7281 - [c126]Alp Yurtsever, Suvrit Sra, Volkan Cevher:
Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator. ICML 2019: 7282-7291 - [c125]Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher, Adish Singla:
Interactive Teaching Algorithms for Inverse Reinforcement Learning. IJCAI 2019: 2692-2700 - [c124]Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher:
Overlapping Multi-Bandit Best Arm Identification. ISIT 2019: 2544-2548 - [c123]Ali Kavis, Kfir Y. Levy, Francis R. Bach, Volkan Cevher:
UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization. NeurIPS 2019: 6257-6266 - [c122]Fabian Latorre, Armin Eftekhari, Volkan Cevher:
Fast and Provable ADMM for Learning with Generative Priors. NeurIPS 2019: 12004-12016 - [c121]Mehmet Fatih Sahin, Armin Eftekhari, Ahmet Alacaoglu, Fabian Latorre, Volkan Cevher:
An Inexact Augmented Lagrangian Framework for Nonconvex Optimization with Nonlinear Constraints. NeurIPS 2019: 13943-13955 - [c120]Francesco Locatello, Alp Yurtsever, Olivier Fercoq, Volkan Cevher:
Stochastic Frank-Wolfe for Composite Convex Minimization. NeurIPS 2019: 14246-14256 - [i67]Jonathan Scarlett, Volkan Cevher:
An Introductory Guide to Fano's Inequality with Applications in Statistical Estimation. CoRR abs/1901.00555 (2019) - [i66]Francesco Locatello, Alp Yurtsever, Olivier Fercoq, Volkan Cevher:
Stochastic Conditional Gradient Method for Composite Convex Minimization. CoRR abs/1901.10348 (2019) - [i65]Thomas Sanchez, Baran Gözcü, Ruud B. van Heeswijk, Efe Ilicak, Tolga Çukur, Volkan Cevher:
Scalable Learning-Based Sampling Optimization for Compressive Dynamic MRI. CoRR abs/1902.00386 (2019) - [i64]Lijun Ding, Alp Yurtsever, Volkan Cevher, Joel A. Tropp, Madeleine Udell:
An Optimal-Storage Approach to Semidefinite Programming using Approximate Complementarity. CoRR abs/1902.03373 (2019) - [i63]Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher:
Streaming Low-Rank Matrix Approximation with an Application to Scientific Simulation. CoRR abs/1902.08651 (2019) - [i62]Chen Liu, Ryota Tomioka, Volkan Cevher:
On Certifying Non-uniform Bound against Adversarial Attacks. CoRR abs/1903.06603 (2019) - [i61]Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher, Adish Singla:
Interactive Teaching Algorithms for Inverse Reinforcement Learning. CoRR abs/1905.11867 (2019) - [i60]Fabian Latorre Gómez, Armin Eftekhari, Volkan Cevher:
Fast and Provable ADMM for Learning with Generative Priors. CoRR abs/1907.03343 (2019) - [i59]Ali Kavis, Kfir Y. Levy, Francis R. Bach, Volkan Cevher:
UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization. CoRR abs/1910.13857 (2019) - [i58]Donghwan Lee, Niao He, Parameswaran Kamalaruban, Volkan Cevher:
Optimization for Reinforcement Learning: From Single Agent to Cooperative Agents. CoRR abs/1912.00498 (2019) - 2018
- [j44]Cosimo Aprile, Alessandro Cevrero, Pier Andrea Francese, Christian Menolfi, Matthias Braendli, Marcel A. Kossel, Thomas Morf, Lukas Kull, Ilter Oezkaya, Yusuf Leblebici, Volkan Cevher, Thomas Toifl:
An Eight-Lane 7-Gb/s/pin Source Synchronous Single-Ended RX With Equalization and Far-End Crosstalk Cancellation for Backplane Channels. IEEE J. Solid State Circuits 53(3): 861-872 (2018) - [j43]Jonathan Scarlett, Volkan Cevher:
Near-Optimal Noisy Group Testing via Separate Decoding of Items. IEEE J. Sel. Top. Signal Process. 12(5): 902-915 (2018) - [j42]Quoc Tran-Dinh, Anastasios Kyrillidis, Volkan Cevher:
A Single-Phase, Proximal Path-Following Framework. Math. Oper. Res. 43(4): 1326-1347 (2018) - [j41]Quoc Tran-Dinh, Olivier Fercoq, Volkan Cevher:
A Smooth Primal-Dual Optimization Framework for Nonsmooth Composite Convex Minimization. SIAM J. Optim. 28(1): 96-134 (2018) - [j40]Cosimo Aprile, Kerim Türe, Luca Baldassarre, Mahsa Shoaran, Gürkan Yilmaz, Franco Maloberti, Catherine Dehollain, Yusuf Leblebici, Volkan Cevher:
Adaptive Learning-Based Compressive Sampling for Low-power Wireless Implants. IEEE Trans. Circuits Syst. I Regul. Pap. 65-I(11): 3929-3941 (2018) - [j39]Baran Gozcu, Rabeeh Karimi Mahabadi, Yen-Huan Li, Efe Ilicak, Tolga Çukur, Jonathan Scarlett, Volkan Cevher:
Learning-Based Compressive MRI. IEEE Trans. Medical Imaging 37(6): 1394-1406 (2018) - [j38]Ya-Ping Hsieh, Yu-Chun Kao, Rabeeh Karimi Mahabadi, Alp Yurtsever, Anastasios Kyrillidis, Volkan Cevher:
A Non-Euclidean Gradient Descent Framework for Non-Convex Matrix Factorization. IEEE Trans. Signal Process. 66(22): 5917-5926 (2018) - [c119]Paul Rolland, Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher:
High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups. AISTATS 2018: 298-307 - [c118]Renbo Zhao, Volkan Cevher:
Stochastic Three-Composite Convex Minimization with a Linear Operator. AISTATS 2018: 765-774 - [c117]Ilija Bogunovic, Junyao Zhao, Volkan Cevher:
Robust Maximization of Non-Submodular Objectives. AISTATS 2018: 890-899 - [c116]Marwa El Halabi, Francis R. Bach, Volkan Cevher:
Combinatorial Penalties: Which structures are preserved by convex relaxations? AISTATS 2018: 1551-1560 - [c115]Ya-Ping Hsieh, Volkan Cevher:
Dimension-free Information Concentration via Exp-Concavity. ALT 2018: 451-469 - [c114]Cosimo Aprile, Johannes Wüthrich, Luca Baldassarre, Yusuf Leblebici, Volkan Cevher:
An area and power efficient on-the-fly LBCS transformation for implantable neuronal signal acquisition systems. CF 2018: 228-231 - [c113]Rabeeh Karimi Mahabadi, Cosimo Aprile, Volkan Cevher:
Real-Time DCT Learning-based Reconstruction of Neural Signals. EUSIPCO 2018: 1925-1929 - [c112]Ehsan Asadi Kangarshahi, Ya-Ping Hsieh, Mehmet Fatih Sahin, Volkan Cevher:
Let's be Honest: An Optimal No-Regret Framework for Zero-Sum Games. ICML 2018: 2493-2501 - [c111]Junhong Lin, Volkan Cevher:
Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods. ICML 2018: 3098-3107 - [c110]Junhong Lin, Volkan Cevher:
Optimal Rates of Sketched-regularized Algorithms for Least-Squares Regression over Hilbert Spaces. ICML 2018: 3108-3117 - [c109]Alp Yurtsever, Olivier Fercoq, Francesco Locatello, Volkan Cevher:
A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming. ICML 2018: 5713-5722 - [c108]Jonathan Scarlett, Volkan Cevher:
Near-Optimal Noisy Group Testing via Separate Decoding of Items. ISIT 2018: 2311-2315 - [c107]Ya-Ping Hsieh, Ali Kavis, Paul Rolland, Volkan Cevher:
Mirrored Langevin Dynamics. NeurIPS 2018: 2883-2892 - [c106]Ilija Bogunovic, Jonathan Scarlett, Stefanie Jegelka, Volkan Cevher:
Adversarially Robust Optimization with Gaussian Processes. NeurIPS 2018: 5765-5775 - [c105]Kfir Yehuda Levy, Alp Yurtsever, Volkan Cevher:
Online Adaptive Methods, Universality and Acceleration. NeurIPS 2018: 6501-6510 - [i57]Junhong Lin, Volkan Cevher:
Optimal Rates for Spectral-regularized Algorithms with Least-Squares Regression over Hilbert Spaces. CoRR abs/1801.06720 (2018) - [i56]Junhong Lin, Volkan Cevher:
Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral-Regularization Algorithms. CoRR abs/1801.07226 (2018) - [i55]Ehsan Asadi Kangarshahi, Ya-Ping Hsieh, Mehmet Fatih Sahin, Volkan Cevher:
Let's be honest: An optimal no-regret framework for zero-sum games. CoRR abs/1802.04221 (2018) - [i54]Paul Rolland, Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher:
High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups. CoRR abs/1802.07028 (2018) - [i53]Ilija Bogunovic, Junyao Zhao, Volkan Cevher:
Robust Maximization of Non-Submodular Objectives. CoRR abs/1802.07073 (2018) - [i52]Ya-Ping Hsieh, Volkan Cevher:
Dimension-free Information Concentration via Exp-Concavity. CoRR abs/1802.09301 (2018) - [i51]Ya-Ping Hsieh, Volkan Cevher:
Mirrored Langevin Dynamics. CoRR abs/1802.10174 (2018) - [i50]Junhong Lin, Volkan Cevher:
Optimal Rates of Sketched-regularized Algorithms for Least-Squares Regression over Hilbert Spaces. CoRR abs/1803.04371 (2018) - [i49]Baran Gözcü, Rabeeh Karimi Mahabadi, Yen-Huan Li, Efe Ilicak, Tolga Çukur, Jonathan Scarlett, Volkan Cevher:
Learning-Based Compressive MRI. CoRR abs/1805.01266 (2018) - [i48]Kfir Y. Levy, Alp Yurtsever, Volkan Cevher:
Online Adaptive Methods, Universality and Acceleration. CoRR abs/1809.02864 (2018) - [i47]Ilija Bogunovic, Jonathan Scarlett, Stefanie Jegelka, Volkan Cevher:
Adversarially Robust Optimization with Gaussian Processes. CoRR abs/1810.10775 (2018) - [i46]Junhong Lin, Volkan Cevher:
Kernel Conjugate Gradient Methods with Random Projections. CoRR abs/1811.01760 (2018) - [i45]Ya-Ping Hsieh, Chen Liu, Volkan Cevher:
Finding Mixed Nash Equilibria of Generative Adversarial Networks. CoRR abs/1811.02002 (2018) - [i44]Teresa Yeo, Parameswaran Kamalaruban, Adish Singla, Arpit Merchant, Thibault Asselborn, Louis Faucon, Pierre Dillenbourg, Volkan Cevher:
Iterative Classroom Teaching. CoRR abs/1811.03537 (2018) - [i43]Paul Rolland, Ali Kavis, Adish Singla, Volkan Cevher:
Efficient learning of smooth probability functions from Bernoulli tests with guarantees. CoRR abs/1812.04428 (2018) - 2017
- [j37]Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher:
Practical Sketching Algorithms for Low-Rank Matrix Approximation. SIAM J. Matrix Anal. Appl. 38(4): 1454-1485 (2017) - [j36]Jonathan Scarlett, Volkan Cevher:
Limits on Support Recovery With Probabilistic Models: An Information-Theoretic Framework. IEEE Trans. Inf. Theory 63(1): 593-620 (2017) - [c104]Jonathan Scarlett, Volkan Cevher:
Lower Bounds on Active Learning for Graphical Model Selection. AISTATS 2017: 55-64 - [c103]Dmytro Perekrestenko, Volkan Cevher, Martin Jaggi:
Faster Coordinate Descent via Adaptive Importance Sampling. AISTATS 2017: 869-877 - [c102]Alp Yurtsever, Madeleine Udell, Joel A. Tropp, Volkan Cevher:
Sketchy Decisions: Convex Low-Rank Matrix Optimization with Optimal Storage. AISTATS 2017: 1188-1196 - [c101]Ilija Bogunovic, Slobodan Mitrovic, Jonathan Scarlett, Volkan Cevher:
A distributed algorithm for partitioned robust submodular maximization. CAMSAP 2017: 1-5 - [c100]Cosimo Aprile, Johannes Wüthrich, Luca Baldassarre, Yusuf Leblebici, Volkan Cevher:
DCT Learning-Based Hardware Design for Neural Signal Acquisition Systems. Conf. Computing Frontiers 2017: 391-394 - [c99]Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher:
Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization. COLT 2017: 1723-1742 - [c98]Jonathan Scarlett, Volkan Cevher:
How little does non-exact recovery help in group testing? ICASSP 2017: 6090-6094 - [c97]Ilija Bogunovic, Slobodan Mitrovic, Jonathan Scarlett, Volkan Cevher:
Robust Submodular Maximization: A Non-Uniform Partitioning Approach. ICML 2017: 508-516 - [c96]Jonathan Scarlett, Volkan Cevher:
Phase Transitions in the Pooled Data Problem. NIPS 2017: 377-385 - [c95]Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher:
Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data. NIPS 2017: 1225-1234 - [c94]Slobodan Mitrovic, Ilija Bogunovic, Ashkan Norouzi-Fard, Jakub Tarnawski, Volkan Cevher:
Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach. NIPS 2017: 4557-4566 - [c93]Ahmet Alacaoglu, Quoc Tran-Dinh, Olivier Fercoq, Volkan Cevher:
Smooth Primal-Dual Coordinate Descent Algorithms for Nonsmooth Convex Optimization. NIPS 2017: 5852-5861 - [c92]Volkan Cevher, Michael Kapralov, Jonathan Scarlett, Amir Zandieh:
An adaptive sublinear-time block sparse fourier transform. STOC 2017: 702-715 - [i42]Volkan Cevher, Michael Kapralov, Jonathan Scarlett, Amir Zandieh:
An Adaptive Sublinear-Time Block Sparse Fourier Transform. CoRR abs/1702.01286 (2017) - [i41]Dmytro Perekrestenko, Volkan Cevher, Martin Jaggi:
Faster Coordinate Descent via Adaptive Importance Sampling. CoRR abs/1703.02518 (2017) - [i40]Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher:
Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization. CoRR abs/1706.00090 (2017) - [i39]Ilija Bogunovic, Slobodan Mitrovic, Jonathan Scarlett, Volkan Cevher:
Robust Submodular Maximization: A Non-Uniform Partitioning Approach. CoRR abs/1706.04918 (2017) - [i38]Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher:
Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data. CoRR abs/1706.05736 (2017) - [i37]Marwa El Halabi, Francis R. Bach, Volkan Cevher:
Combinatorial Penalties: Which structures are preserved by convex relaxations? CoRR abs/1710.06273 (2017) - [i36]Jonathan Scarlett, Volkan Cevher:
Phase Transitions in the Pooled Data Problem. CoRR abs/1710.06766 (2017) - [i35]Jonathan Scarlett, Volkan Cevher:
Efficient and Near-Optimal Noisy Group Testing: An Information-Theoretic Framework. CoRR abs/1710.08704 (2017) - [i34]Slobodan Mitrovic, Ilija Bogunovic, Ashkan Norouzi-Fard, Jakub Tarnawski, Volkan Cevher:
Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach. CoRR abs/1711.02598 (2017) - 2016
- [j35]David E. Carlson, Ya-Ping Hsieh, Edo Collins, Lawrence Carin, Volkan Cevher:
Stochastic Spectral Descent for Discrete Graphical Models. IEEE J. Sel. Top. Signal Process. 10(2): 296-311 (2016) - [j34]Luca Baldassarre, Yen-Huan Li, Jonathan Scarlett, Baran Gozcu, Ilija Bogunovic, Volkan Cevher:
Learning-Based Compressive Subsampling. IEEE J. Sel. Top. Signal Process. 10(4): 809-822 (2016) - [j33]Afsaneh Asaei, Hervé Bourlard, Mohammad Javad Taghizadeh, Volkan Cevher:
Computational methods for underdetermined convolutive speech localization and separation via model-based sparse component analysis. Speech Commun. 76: 201-217 (2016) - [j32]Luca Baldassarre, Nirav Bhan, Volkan Cevher, Anastasios Kyrillidis, Siddhartha Satpathi:
Group-Sparse Model Selection: Hardness and Relaxations. IEEE Trans. Inf. Theory 62(11): 6508-6534 (2016) - [j31]Sundeep Rangan, Philip Schniter, Erwin Riegler, Alyson K. Fletcher, Volkan Cevher:
Fixed Points of Generalized Approximate Message Passing With Arbitrary Matrices. IEEE Trans. Inf. Theory 62(12): 7464-7474 (2016) - [j30]Jonathan Scarlett, Volkan Cevher:
On the Difficulty of Selecting Ising Models With Approximate Recovery. IEEE Trans. Signal Inf. Process. over Networks 2(4): 625-638 (2016) - [j29]Afsaneh Asaei, Mohammad Javad Taghizadeh, Saeid Haghighatshoar, Bhiksha Raj, Hervé Bourlard, Volkan Cevher:
Binary Sparse Coding of Convolutive Mixtures for Sound Localization and Separation via Spatialization. IEEE Trans. Signal Process. 64(3): 567-579 (2016) - [j28]João F. C. Mota, Nikos Deligiannis, Aswin C. Sankaranarayanan, Volkan Cevher, Miguel R. D. Rodrigues:
Adaptive-Rate Reconstruction of Time-Varying Signals With Application in Compressive Foreground Extraction. IEEE Trans. Signal Process. 64(14): 3651-3666 (2016) - [c91]Anastasios Kyrillidis, Bubacarr Bah, Rouzbeh Hasheminezhad, Quoc Tran-Dinh, Luca Baldassarre, Volkan Cevher:
Convex Block-sparse Linear Regression with Expanders - Provably. AISTATS 2016: 19-27 - [c90]Jonathan Scarlett, Volkan Cevher:
Limits on Sparse Support Recovery via Linear Sketching with Random Expander Matrices. AISTATS 2016: 149-158 - [c89]Ilija Bogunovic, Jonathan Scarlett, Volkan Cevher:
Time-Varying Gaussian Process Bandit Optimization. AISTATS 2016: 314-323 - [c88]Nissim Zerbib, Yen-Huan Li, Ya-Ping Hsieh, Volkan Cevher:
Estimation error of the constrained lasso. Allerton 2016: 433-438 - [c87]Cosimo Aprile, Luca Baldassarre, Vipul Gupta, Juhwan Yoo, Mahsa Shoaran, Yusuf Leblebici, Volkan Cevher:
Learning-Based Near-Optimal Area-Power Trade-offs in Hardware Design for Neural Signal Acquisition. ACM Great Lakes Symposium on VLSI 2016: 433-438 - [c86]Yen-Huan Li, Volkan Cevher:
Learning data triage: Linear decoding works for compressive MRI. ICASSP 2016: 4034-4038 - [c85]Gergely Ódor, Yen-Huan Li, Alp Yurtsever, Ya-Ping Hsieh, Quoc Tran-Dinh, Marwa El Halabi, Volkan Cevher:
Frank-Wolfe works for non-Lipschitz continuous gradient objectives: Scalable poisson phase retrieval. ICASSP 2016: 6230-6234 - [c84]Jonathan Scarlett, Volkan Cevher:
Partial recovery bounds for the sparse stochastic block model. ISIT 2016: 1904-1908 - [c83]Jonathan Scarlett, Volkan Cevher:
Converse bounds for noisy group testing with arbitrary measurement matrices. ISIT 2016: 2868-2872 - [c82]Ilija Bogunovic, Jonathan Scarlett, Andreas Krause, Volkan Cevher:
Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation. NIPS 2016: 1507-1515 - [c81]Alp Yurtsever, Bang Công Vu, Volkan Cevher:
Stochastic Three-Composite Convex Minimization. NIPS 2016: 4322-4330 - [c80]Ashkan Norouzi-Fard, Abbas Bazzi, Ilija Bogunovic, Marwa El Halabi, Ya-Ping Hsieh, Volkan Cevher:
An Efficient Streaming Algorithm for the Submodular Cover Problem. NIPS 2016: 4493-4501 - [c79]Jonathan Scarlett, Volkan Cevher:
Phase Transitions in Group Testing. SODA 2016: 40-53 - [i33]Ilija Bogunovic, Jonathan Scarlett, Volkan Cevher:
Time-Varying Gaussian Process Bandit Optimization. CoRR abs/1601.06650 (2016) - [i32]Yen-Huan Li, Volkan Cevher:
Learning Data Triage: Linear Decoding Works for Compressive MRI. CoRR abs/1602.00734 (2016) - [i31]Jonathan Scarlett, Volkan Cevher:
Converse Bounds for Noisy Group Testing with Arbitrary Measurement Matrices. CoRR abs/1602.00875 (2016) - [i30]Jonathan Scarlett, Volkan Cevher:
Partial Recovery Bounds for the Sparse Stochastic Block Model. CoRR abs/1602.00877 (2016) - [i29]Jonathan Scarlett, Volkan Cevher:
On the Difficulty of Selecting Ising Models with Approximate Recovery. CoRR abs/1602.03647 (2016) - [i28]Quoc Tran-Dinh, Anastasios Kyrillidis, Volkan Cevher:
A single-phase, proximal path-following framework. CoRR abs/1603.01681 (2016) - [i27]Anastasios Kyrillidis, Bubacarr Bah, Rouzbeh Hasheminezhad, Quoc Tran-Dinh, Luca Baldassarre, Volkan Cevher:
Convex block-sparse linear regression with expanders - provably. CoRR abs/1603.06313 (2016) - [i26]Jonathan Scarlett, Volkan Cevher:
Lower Bounds on Active Learning for Graphical Model Selection. CoRR abs/1607.02413 (2016) - [i25]Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher:
Randomized single-view algorithms for low-rank matrix approximation. CoRR abs/1609.00048 (2016) - [i24]Ilija Bogunovic, Jonathan Scarlett, Andreas Krause, Volkan Cevher:
Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation. CoRR abs/1610.07379 (2016) - [i23]Ashkan Norouzi-Fard, Abbas Bazzi, Marwa El Halabi, Ilija Bogunovic, Ya-Ping Hsieh, Volkan Cevher:
An Efficient Streaming Algorithm for the Submodular Cover Problem. CoRR abs/1611.08574 (2016) - 2015
- [j27]Petros Boufounos, Volkan Cevher, Anna C. Gilbert, Yi Li, Martin J. Strauss:
What's the Frequency, Kenneth?: Sublinear Fourier Sampling Off the Grid. Algorithmica 73(2): 261-288 (2015) - [j26]Quoc Tran-Dinh, Anastasios Kyrillidis, Volkan Cevher:
Composite self-concordant minimization. J. Mach. Learn. Res. 16: 371-416 (2015) - [j25]Georgios B. Giannakis, Raphael Cendrillon, Volkan Cevher, Ananthram Swami, Zhi Tian:
Introduction to the issue on signal processing for big data. IEEE J. Sel. Top. Signal Process. 9(4): 583-585 (2015) - [j24]John J. Bruer, Joel A. Tropp, Volkan Cevher, Stephen Becker:
Designing Statistical Estimators That Balance Sample Size, Risk, and Computational Cost. IEEE J. Sel. Top. Signal Process. 9(4): 612-624 (2015) - [j23]Liming Wang, Jiaji Huang, Xin Yuan, Kalyani Krishnamurthy, Joel A. Greenberg, Volkan Cevher, Miguel R. D. Rodrigues, David J. Brady, A. Robert Calderbank, Lawrence Carin:
Signal Recovery and System Calibration from Multiple Compressive Poisson Measurements. SIAM J. Imaging Sci. 8(3): 1923-1954 (2015) - [c78]David E. Carlson, Volkan Cevher, Lawrence Carin:
Stochastic Spectral Descent for Restricted Boltzmann Machines. AISTATS 2015 - [c77]Marwa El Halabi, Volkan Cevher:
A totally unimodular view of structured sparsity. AISTATS 2015 - [c76]Yen-Huan Li, Jonathan Scarlett, Pradeep Ravikumar, Volkan Cevher:
Sparsistency of 1-Regularized M-Estimators. AISTATS 2015 - [c75]Sanvesh Srivastava, Volkan Cevher, Quoc Tran-Dinh, David B. Dunson:
WASP: Scalable Bayes via barycenters of subset posteriors. AISTATS 2015 - [c74]Luca Baldassarre, Cosimo Aprile, Mahsa Shoaran, Yusuf Leblebici, Volkan Cevher:
Structured sampling and recovery of iEEG signals. CAMSAP 2015: 269-272 - [c73]Alp Yurtsever, Ya-Ping Hsieh, Volkan Cevher:
Scalable convex methods for phase retrieval. CAMSAP 2015: 381-384 - [c72]Baran Gozcu, Luca Baldassarre, Quoc Tran-Dinh, Cosimo Aprile, Volkan Cevher:
A primal-dual framework for mixtures of regularizers. EUSIPCO 2015: 240-244 - [c71]Ilija Bogunovic, Volkan Cevher, Jarvis D. Haupt, Jonathan Scarlett:
Active learning of self-concordant like multi-index functions. ICASSP 2015: 2189-2193 - [c70]João F. C. Mota, Nikos Deligiannis, Aswin C. Sankaranarayanan, Volkan Cevher, Miguel R. D. Rodrigues:
Dynamic sparse state estimation using ℓ1-ℓ1 minimization: Adaptive-rate measurement bounds, algorithms and applications. ICASSP 2015: 3332-3336 - [c69]Yen-Huan Li, Volkan Cevher:
Consistency of ℓ1-regularized maximum-likelihood for compressive Poisson regression. ICASSP 2015: 3606-3610 - [c68]Siddhartha Satpathi, Luca Baldassarre, Volkan Cevher:
Sparse group covers and greedy tree approximations. ISIT 2015: 551-555 - [c67]Jonathan Scarlett, Volkan Cevher:
Limits on support recovery with probabilistic models: An information-theoretic framework. ISIT 2015: 2331-2335 - [c66]Liming Wang, Jiaji Huang, Xin Yuan, Volkan Cevher, Miguel R. D. Rodrigues, A. Robert Calderbank, Lawrence Carin:
A concentration-of-measure inequality for multiple-measurement models. ISIT 2015: 2341-2345 - [c65]Quoc Tran-Dinh, Yen-Huan Li, Volkan Cevher:
Composite Convex Minimization Involving Self-concordant-Like Cost Functions. MCO (1) 2015: 155-168 - [c64]David E. Carlson, Edo Collins, Ya-Ping Hsieh, Lawrence Carin, Volkan Cevher:
Preconditioned Spectral Descent for Deep Learning. NIPS 2015: 2971-2979 - [c63]Alp Yurtsever, Quoc Tran-Dinh, Volkan Cevher:
A Universal Primal-Dual Convex Optimization Framework. NIPS 2015: 3150-3158 - [c62]Alessandro Cevrero, Cosimo Aprile, Pier Andrea Francese, U. Bapst, Christian Menolfi, Matthias Braendli, Marcel A. Kossel, Thomas Morf, Lukas Kull, Hazar Yueksel, Ilter Oezkaya, Yusuf Leblebici, Volkan Cevher, Thomas Toifl:
A 5.9mW/Gb/s 7Gb/s/pin 8-lane single-ended RX with crosstalk cancellation scheme using a XCTLE and 56-tap XDFE in 32nm SOI CMOS. VLSIC 2015: 228- - [i22]Jonathan Scarlett, Volkan Cevher:
Limits on Support Recovery with Probabilistic Models: An Information-Spectrum Approach. CoRR abs/1501.07440 (2015) - [i21]João F. C. Mota, Nikos Deligiannis, Aswin C. Sankaranarayanan, Volkan Cevher, Miguel R. D. Rodrigues:
Adaptive-Rate Sparse Signal Reconstruction With Application in Compressive Background Subtraction. CoRR abs/1503.03231 (2015) - [i20]Anastasios Kyrillidis, Luca Baldassarre, Marwa El Halabi, Quoc Tran-Dinh, Volkan Cevher:
Structured Sparsity: Discrete and Convex approaches. CoRR abs/1507.05367 (2015) - [i19]Volkan Cevher, Sina Jafarpour, Anastasios Kyrillidis:
Linear Inverse Problems with Norm and Sparsity Constraints. CoRR abs/1507.05370 (2015) - [i18]Luca Baldassarre, Yen-Huan Li, Jonathan Scarlett, Baran Gözcü, Ilija Bogunovic, Volkan Cevher:
Learning-based Compressive Subsampling. CoRR abs/1510.06188 (2015) - 2014
- [j22]Anastasios Kyrillidis, Volkan Cevher:
Matrix Recipes for Hard Thresholding Methods. J. Math. Imaging Vis. 48(2): 235-265 (2014) - [j21]Quoc Tran-Dinh, Anastasios Kyrillidis, Volkan Cevher:
An Inexact Proximal Path-Following Algorithm for Constrained Convex Minimization. SIAM J. Optim. 24(4): 1718-1745 (2014) - [j20]Michael B. McCoy, Volkan Cevher, Quoc Tran-Dinh, Afsaneh Asaei, Luca Baldassarre:
Convexity in Source Separation : Models, geometry, and algorithms. IEEE Signal Process. Mag. 31(3): 87-95 (2014) - [j19]Volkan Cevher, Stephen Becker, Mark Schmidt:
Convex Optimization for Big Data: Scalable, randomized, and parallel algorithms for big data analytics. IEEE Signal Process. Mag. 31(5): 32-43 (2014) - [j18]Afsaneh Asaei, Mohammad Golbabaee, Hervé Bourlard, Volkan Cevher:
Structured Sparsity Models for Reverberant Speech Separation. IEEE ACM Trans. Audio Speech Lang. Process. 22(3): 620-633 (2014) - [j17]Jason T. Parker, Philip Schniter, Volkan Cevher:
Bilinear Generalized Approximate Message Passing - Part I: Derivation. IEEE Trans. Signal Process. 62(22): 5839-5853 (2014) - [j16]Jason T. Parker, Philip Schniter, Volkan Cevher:
Bilinear Generalized Approximate Message Passing - Part II: Applications. IEEE Trans. Signal Process. 62(22): 5854-5867 (2014) - [c61]Anastasios Kyrillidis, Rabeeh Karimi Mahabadi, Quoc Tran-Dinh, Volkan Cevher:
Scalable Sparse Covariance Estimation via Self-Concordance. AAAI 2014: 1946-1952 - [c60]Bubacarr Bah, Stephen Becker, Volkan Cevher, Baran Gozcu:
Metric learning with rank and sparsity constraints. ICASSP 2014: 21-25 - [c59]Afsaneh Asaei, Hervé Bourlard, Mohammad Javad Taghizadeh, Volkan Cevher:
Model-based sparse component analysis for reverberant speech localization. ICASSP 2014: 1439-1443 - [c58]Quoc Tran-Dinh, Yen-Huan Li, Volkan Cevher:
Barrier smoothing for nonsmooth convex minimization. ICASSP 2014: 1503-1507 - [c57]Marwa El Halabi, Luca Baldassarre, Volkan Cevher:
Map estimation for Bayesian mixture models with submodular priors. MLSP 2014: 1-6 - [c56]Quoc Tran-Dinh, Volkan Cevher:
Constrained convex minimization via model-based excessive gap. NIPS 2014: 721-729 - [c55]John J. Bruer, Joel A. Tropp, Volkan Cevher, Stephen Becker:
Time-Data Tradeoffs by Aggressive Smoothing. NIPS 2014: 1664-1672 - [c54]Bubacarr Bah, Luca Baldassarre, Volkan Cevher:
Model-based Sketching and Recovery with Expanders. SODA 2014: 1529-1543 - [c53]Aleksandr Y. Aravkin, Stephen Becker, Volkan Cevher, Peder A. Olsen:
A variational approach to stable principal component pursuit. UAI 2014: 32-41 - [i17]Anastasios Kyrillidis, Rabeeh Karimi Mahabadi, Quoc Tran-Dinh, Volkan Cevher:
Scalable sparse covariance estimation via self-concordance. CoRR abs/1405.3263 (2014) - [i16]Volkan Cevher, Stephen Becker, Mark Schmidt:
Convex Optimization for Big Data. CoRR abs/1411.0972 (2014) - [i15]Marwa El Halabi, Volkan Cevher:
A totally unimodular view of structured sparsity. CoRR abs/1411.1990 (2014) - 2013
- [c52]Marwa El Halabi, Luca Baldassarre, Volkan Cevher:
To convexify or not? Regression with clustering penalties on graphs. CAMSAP 2013: 21-24 - [c51]Baran Gozcu, Afsaneh Asaei, Volkan Cevher:
Manifold sparse beamforming. CAMSAP 2013: 113-116 - [c50]Nirav Bhan, Luca Baldassarre, Volkan Cevher:
Tractability of interpretability via selection of group-sparse models. GlobalSIP 2013: 632 - [c49]Anastasios Kyrillidis, Stephen Becker, Volkan Cevher, Christoph Koch:
Sparse simplex projections for portfolio optimization. GlobalSIP 2013: 1141 - [c48]Anastasios Kyrillidis, Volkan Cevher:
Fast proximal algorithms for Self-concordant function minimization with application to sparse graph selection. ICASSP 2013: 6585-6589 - [c47]Anastasios Kyrillidis, Stephen Becker, Volkan Cevher, Christoph Koch:
Sparse projections onto the simplex. ICML (2) 2013: 235-243 - [c46]Quoc Tran-Dinh, Anastasios Kyrillidis, Volkan Cevher:
A proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions. ICML (2) 2013: 271-279 - [c45]Sundeep Rangan, Philip Schniter, Erwin Riegler, Alyson K. Fletcher, Volkan Cevher:
Fixed points of generalized approximate message passing with arbitrary matrices. ISIT 2013: 664-668 - [c44]Nirav Bhan, Luca Baldassarre, Volkan Cevher:
Tractability of interpretability via selection of group-sparse models. ISIT 2013: 1037-1041 - [c43]Josip Djolonga, Andreas Krause, Volkan Cevher:
High-Dimensional Gaussian Process Bandits. NIPS 2013: 1025-1033 - [i14]Sundeep Rangan, Philip Schniter, Erwin Riegler, Alyson K. Fletcher, Volkan Cevher:
Fixed Points of Generalized Approximate Message Passing with Arbitrary Matrices. CoRR abs/1301.6295 (2013) - [i13]Stephen Becker, Volkan Cevher, Anastasios Kyrillidis:
Randomized Low-Memory Singular Value Projection. CoRR abs/1303.0167 (2013) - [i12]Luca Baldassarre, Nirav Bhan, Volkan Cevher, Anastasios Kyrillidis:
Group-Sparse Model Selection: Hardness and Relaxations. CoRR abs/1303.3207 (2013) - [i11]Bubacarr Bah, Ali Sadeghian, Volkan Cevher:
Energy-aware adaptive bi-Lipschitz embeddings. CoRR abs/1307.3457 (2013) - [i10]Quoc Tran-Dinh, Anastasios Kyrillidis, Volkan Cevher:
Composite Self-Concordant Minimization. CoRR abs/1308.2867 (2013) - [i9]Jason T. Parker, Philip Schniter, Volkan Cevher:
Bilinear Generalized Approximate Message Passing. CoRR abs/1310.2632 (2013) - [i8]Michael B. McCoy, Volkan Cevher, Quoc Tran-Dinh, Afsaneh Asaei, Luca Baldassarre:
Convexity in source separation: Models, geometry, and algorithms. CoRR abs/1311.0258 (2013) - 2012
- [j15]Ali Cafer Gürbüz, Volkan Cevher, James H. McClellan:
Bearing Estimation via Spatial Sparsity using Compressive Sensing. IEEE Trans. Aerosp. Electron. Syst. 48(2): 1358-1369 (2012) - [j14]Rémi Gribonval, Volkan Cevher, Mike E. Davies:
Compressible Distributions for High-Dimensional Statistics. IEEE Trans. Inf. Theory 58(8): 5016-5034 (2012) - [c42]Petros Boufounos, Volkan Cevher, Anna C. Gilbert, Yi Li, Martin J. Strauss:
What's the Frequency, Kenneth?: Sublinear Fourier Sampling Off the Grid. APPROX-RANDOM 2012: 61-72 - [c41]Hemant Tyagi, Volkan Cevher:
Learning ridge functions with randomized sampling in high dimensions. ICASSP 2012: 2025-2028 - [c40]Afsaneh Asaei, Michael E. Davies, Hervé Bourlard, Volkan Cevher:
Computational methods for structured sparse component analysis of convolutive speech mixtures. ICASSP 2012: 2425-2428 - [c39]Kivanç Köse, Volkan Cevher, A. Enis Çetin:
Filtered Variation method for denoising and sparse signal processing. ICASSP 2012: 3329-3332 - [c38]Anastasios Kyrillidis, Gilles Puy, Volkan Cevher:
Hard thresholding with norm constraints. ICASSP 2012: 3645-3648 - [c37]Afsaneh Asaei, Bhiksha Raj, Hervé Bourlard, Volkan Cevher:
Structured sparse coding for microphone array location calibration. SAPA@INTERSPEECH 2012: 74-79 - [c36]Anastasios Kyrillidis, Volkan Cevher:
Combinatorial selection and least absolute shrinkage via the Clash algorithm. ISIT 2012: 2216-2220 - [c35]Hemant Tyagi, Volkan Cevher:
Active Learning of Multi-Index Function Models. NIPS 2012: 1475-1483 - [c34]Mitra Fatemi, Shayan Dashmiz, Mohammad Hossein Shafinia, Volkan Cevher:
Equivalence of synthesis and atomic formulations of sparse recovery. SSP 2012: 177-180 - [c33]Anastasios Kyrillidis, Volkan Cevher:
MATRIX ALPS: Accelerated low rank and sparse matrix reconstruction. SSP 2012: 185-188 - [i7]Anastasios Kyrillidis, Volkan Cevher:
Combinatorial Selection and Least Absolute Shrinkage via the CLASH Algorithm. CoRR abs/1203.2936 (2012) - [i6]Anastasios Kyrillidis, Volkan Cevher:
Matrix ALPS: Accelerated Low Rank and Sparse Matrix Reconstruction. CoRR abs/1203.3864 (2012) - [i5]Anastasios Kyrillidis, Volkan Cevher:
Matrix Recipes for Hard Thresholding Methods. CoRR abs/1203.4481 (2012) - [i4]Anastasios Kyrillidis, Stephen Becker, Volkan Cevher:
Sparse projections onto the simplex. CoRR abs/1206.1529 (2012) - [i3]Afsaneh Asaei, Mohammad Golbabaee, Hervé Bourlard, Volkan Cevher:
Structured Sparsity Models for Multiparty Speech Recovery from Reverberant Recordings. CoRR abs/1210.6766 (2012) - 2011
- [j13]Volkan Cevher, Andreas Krause:
Greedy Dictionary Selection for Sparse Representation. IEEE J. Sel. Top. Signal Process. 5(5): 979-988 (2011) - [j12]Lawrence Carin, Richard G. Baraniuk, Volkan Cevher, David B. Dunson, Michael I. Jordan, Guillermo Sapiro, Michael B. Wakin:
Learning Low-Dimensional Signal Models. IEEE Signal Process. Mag. 28(2): 39-51 (2011) - [c32]Jason T. Parker, Volkan Cevher, Philip Schniter:
Compressive sensing under matrix uncertainties: An Approximate Message Passing approach. ACSCC 2011: 804-808 - [c31]Anastasios Kyrillidis, Volkan Cevher:
Recipes on hard thresholding methods. CAMSAP 2011: 353-356 - [c30]Raja Giryes, Volkan Cevher:
Online performance guarantees for sparse recovery. ICASSP 2011: 2020-2023 - [c29]Sina Jafarpour, Robert E. Schapire, Volkan Cevher:
Compressive sensing meets game theory. ICASSP 2011: 3660-3663 - [c28]Afsaneh Asaei, Hervé Bourlard, Volkan Cevher:
Model-based compressive sensing for multi-party distant speech recognition. ICASSP 2011: 4600-4603 - [c27]Volkan Cevher:
An ALPS view of sparse recovery. ICASSP 2011: 5808-5811 - [c26]Afsaneh Asaei, Mohammad Javad Taghizadeh, Hervé Bourlard, Volkan Cevher:
Multi-Party Speech Recovery Exploiting Structured Sparsity Models. INTERSPEECH 2011: 185-188 - [c25]Sina Jafarpour, Volkan Cevher, Robert E. Schapire:
A game theoretic approach to expander-based compressive sensing. ISIT 2011: 464-468 - [i2]Rémi Gribonval, Volkan Cevher, Mike E. Davies:
Compressible Distributions for High-dimensional Statistics. CoRR abs/1102.1249 (2011) - 2010
- [j11]Richard G. Baraniuk, Volkan Cevher, Michael B. Wakin:
Low-Dimensional Models for Dimensionality Reduction and Signal Recovery: A Geometric Perspective. Proc. IEEE 98(6): 959-971 (2010) - [j10]Volkan Cevher, Piotr Indyk, Lawrence Carin, Richard G. Baraniuk:
Sparse Signal Recovery and Acquisition with Graphical Models. IEEE Signal Process. Mag. 27(6): 92-103 (2010) - [j9]Richard G. Baraniuk, Volkan Cevher, Marco F. Duarte, Chinmay Hegde:
Model-based compressive sensing. IEEE Trans. Inf. Theory 56(4): 1982-2001 (2010) - [c24]Andrew E. Waters, Volkan Cevher:
Distributed bearing estimation via matrix completion. ICASSP 2010: 2590-2593 - [c23]Andreas Krause, Volkan Cevher:
Submodular Dictionary Selection for Sparse Representation. ICML 2010: 567-574
2000 – 2009
- 2009
- [j8]Volkan Cevher, Lance M. Kaplan:
Acoustic sensor network design for position estimation. ACM Trans. Sens. Networks 5(3): 21:1-21:28 (2009) - [j7]Volkan Cevher, Rama Chellappa, James H. McClellan:
Vehicle Speed Estimation Using Acoustic Wave Patterns. IEEE Trans. Signal Process. 57(1): 30-47 (2009) - [c22]Marco F. Duarte, Volkan Cevher, Richard G. Baraniuk:
Model-based compressive sensing for signal ensembles. Allerton 2009: 244-250 - [c21]Marco F. Duarte, Chinmay Hegde, Volkan Cevher, Richard G. Baraniuk:
Recovery of compressible signals in unions of subspaces. CISS 2009: 175-180 - [c20]Volkan Cevher, Petros Boufounos, Richard G. Baraniuk, Anna C. Gilbert, Martin J. Strauss:
Near-optimal Bayesian localization via incoherence and sparsity. IPSN 2009: 205-216 - [c19]Volkan Cevher:
Learning with Compressible Priors. NIPS 2009: 261-269 - 2008
- [c18]Volkan Cevher, Aswin C. Sankaranarayanan, Marco F. Duarte, Dikpal Reddy, Richard G. Baraniuk, Rama Chellappa:
Compressive Sensing for Background Subtraction. ECCV (2) 2008: 155-168 - [c17]Volkan Cevher, Marco F. Duarte, Richard G. Baraniuk:
Distributed target localization via spatial sparsity. EUSIPCO 2008: 1-5 - [c16]Volkan Cevher, Aswin C. Sankaranarayanan, Rama Chellappa:
Factorized variational approximations for acoustic multi source localization. ICASSP 2008: 2409-2412 - [c15]Volkan Cevher, Ali Cafer Gürbüz, James H. McClellan, Rama Chellappa:
Compressive wireless arrays for bearing estimation. ICASSP 2008: 2497-2500 - [c14]Ali Cafer Gürbüz, James H. McClellan, Volkan Cevher:
A compressive beamforming method. ICASSP 2008: 2617-2620 - [c13]Dikpal Reddy, Aswin C. Sankaranarayanan, Volkan Cevher, Rama Chellappa:
Compressed sensing for multi-view tracking and 3-D voxel reconstruction. ICIP 2008: 221-224 - [c12]Volkan Cevher, Lance M. Kaplan:
Pareto Frontiers of Sensor Networks for Localization. IPSN 2008: 27-38 - [c11]Volkan Cevher, Marco F. Duarte, Chinmay Hegde, Richard G. Baraniuk:
Sparse Signal Recovery Using Markov Random Fields. NIPS 2008: 257-264 - [i1]Richard G. Baraniuk, Volkan Cevher, Marco F. Duarte, Chinmay Hegde:
Model-Based Compressive Sensing. CoRR abs/0808.3572 (2008) - 2007
- [j6]Milind Borkar, Volkan Cevher, James H. McClellan:
Low computation and low latency algorithms for distributed sensor network initialization. Signal Image Video Process. 1(2): 133-148 (2007) - [j5]Mubashir Alam, Volkan Cevher, James H. McClellan, Greg D. Larson, Waymond R. Scott:
Optimal Maneuvering of Seismic Sensors for Localization of Subsurface Targets. IEEE Trans. Geosci. Remote. Sens. 45(5-1): 1247-1257 (2007) - [j4]Volkan Cevher, Aswin C. Sankaranarayanan, James H. McClellan, Rama Chellappa:
Target Tracking Using a Joint Acoustic Video System. IEEE Trans. Multim. 9(4): 715-727 (2007) - [j3]Volkan Cevher, Rajbabu Velmurugan, James H. McClellan:
Acoustic Multitarget Tracking Using Direction-of-Arrival Batches. IEEE Trans. Signal Process. 55(6-2): 2810-2825 (2007) - [j2]Milind Borkar, Volkan Cevher, James H. McClellan:
Decentralized State Initialization with Delay Compensation for Multi-modal Sensor Networks. J. VLSI Signal Process. 48(1-2): 109-125 (2007) - [c10]Volkan Cevher, Rama Chellappa, James H. McClellan:
Joint Acoustic-Video Fingerprinting of Vehicles, Part I. ICASSP (2) 2007: 745-748 - [c9]Volkan Cevher, Feng Guo, Aswin C. Sankaranarayanan, Rama Chellappa:
Joint Acoustic-Video Fingerprinting of Vehicles, Part II. ICASSP (2) 2007: 749-752 - 2006
- [c8]Volkan Cevher, Milind Borkar, James H. McClellan:
A joint radar-acoustic particle filter tracker with acoustic propagation delay compensation. EUSIPCO 2006: 1-5 - [c7]Rajbabu Velmurugan, Shyam Subramanian, Volkan Cevher, David Abramson, Kofi M. Odame, Jordan D. Gray, Haw-Jing Lo, James H. McClellan, David V. Anderson:
On low-power analog implementation of particle filters for target tracking. EUSIPCO 2006: 1-5 - [c6]Volkan Cevher, Rajbabu Velmurugan, James H. McClellan:
A Range-Only Multiple Target Particle Filter Tracker. ICASSP (4) 2006: 905-908 - [c5]Milind Borkar, Volkan Cevher, James H. McClellan:
A Monte-Carlo Method for Initializing Distributed Tracking Algorithms. ICASSP (4) 2006: 913-916 - [c4]Mubashir Alam, Volkan Cevher, James H. McClellan:
Optimal Experiments With Seismic Sensors. ICASSP (4) 2006: 1145-1148 - 2005
- [b1]Volkan Cevher:
A Bayesian Framework for Target Tracking using Acoustic and Image Measurements. Georgia Institute of Technology, Atlanta, GA, USA, 2005 - [j1]Volkan Cevher, James H. McClellan:
General direction-of-arrival tracking with acoustic nodes. IEEE Trans. Signal Process. 53(1): 1-12 (2005) - [c3]Volkan Cevher, James H. McClellan:
Proposal strategies for joint state-space tracking with particle filters. ICASSP (2) 2005: 1081-1084 - 2004
- [c2]Volkan Cevher, James H. McClellan:
Fast initialization of particle filters using a modified metropolis-Hastings algorithm: mode-hungry approach. ICASSP (2) 2004: 129-132 - 2001
- [c1]Volkan Cevher, James H. McClellan:
Sensor array calibration via tracking with the extended Kalman filter. ICASSP 2001: 2817-2820
Coauthor Index
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