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ORCIDSeyed Hamed Hassani
S. Hamed Hassani – Hamed Hassani
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- affiliation: University of Pennsylvania, USA
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2020 – today
- 2024
[j32]Mark Beliaev
, Payam Delgosha, Hamed Hassani, Ramtin Pedarsani:
Efficient and Robust Classification for Sparse Attacks. IEEE J. Sel. Areas Inf. Theory 5: 261-272 (2024)- [j31]Payam Delgosha, Hamed Hassani, Ramtin Pedarsani:
Binary Classification Under ℓ0 Attacks for General Noise Distribution. IEEE Trans. Inf. Theory 70(2): 1284-1299 (2024) - [j30]Han Wang, Aritra Mitra, Hamed Hassani, George J. Pappas, James Anderson:
Federated TD Learning with Linear Function Approximation under Environmental Heterogeneity. Trans. Mach. Learn. Res. 2024 (2024) - [j29]Aritra Mitra, George J. Pappas, Hamed Hassani:
Temporal Difference Learning with Compressed Updates: Error-Feedback meets Reinforcement Learning. Trans. Mach. Learn. Res. 2024 (2024) - [c106]Arman Adibi, Nicolò Dal Fabbro, Luca Schenato, Sanjeev R. Kulkarni, H. Vincent Poor, George J. Pappas, Hamed Hassani, Aritra Mitra:
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling. AISTATS 2024: 2746-2754 - [c105]Arman Adibi, Aritra Mitra, Hamed Hassani:
Min-Max Optimization Under Delays. ACC 2024: 80-85 - [c104]Xinmeng Huang, Shuo Li, Mengxin Yu, Matteo Sesia, Hamed Hassani, Insup Lee, Osbert Bastani, Edgar Dobriban:
Uncertainty in Language Models: Assessment through Rank-Calibration. EMNLP 2024: 284-312 - [c103]Alexander Robey, Fabian Latorre, George J. Pappas, Hamed Hassani, Volkan Cevher:
Adversarial Training Should Be Cast as a Non-Zero-Sum Game. ICLR 2024 - [c102]Liam Collins, Hamed Hassani, Mahdi Soltanolkotabi, Aryan Mokhtari, Sanjay Shakkottai:
Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks. ICML 2024 - [c101]Shayan Kiyani, George J. Pappas, Hamed Hassani:
Conformal Prediction with Learned Features. ICML 2024 - [c100]Kevin Kögler, Aleksandr Shevchenko, Hamed Hassani, Marco Mondelli:
Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth. ICML 2024 - [c99]Behrad Moniri, Donghwan Lee, Hamed Hassani, Edgar Dobriban:
A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks. ICML 2024 - [i132]Payam Delgosha, Hamed Hassani, Ramtin Pedarsani:
Generalization Properties of Adversarial Training for 𝓁0-Bounded Adversarial Attacks. CoRR abs/2402.03576 (2024) - [i131]Kevin Kögler, Alexander Shevchenko, Hamed Hassani, Marco Mondelli:
Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth. CoRR abs/2402.05013 (2024) - [i130]Arman Adibi, Nicolò Dal Fabbro, Luca Schenato, Sanjeev R. Kulkarni, H. Vincent Poor, George J. Pappas, Hamed Hassani, Aritra Mitra:
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling. CoRR abs/2402.11800 (2024) - [i129]Jiabao Ji, Bairu Hou, Alexander Robey, George J. Pappas, Hamed Hassani, Yang Zhang, Eric Wong, Shiyu Chang:
Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing. CoRR abs/2402.16192 (2024) - [i128]Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti:
Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding. CoRR abs/2403.07320 (2024) - [i127]Yutong He, Alexander Robey, Naoki Murata, Yiding Jiang, Joshua Williams, George J. Pappas, Hamed Hassani, Yuki Mitsufuji, Ruslan Salakhutdinov, J. Zico Kolter:
Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation. CoRR abs/2403.19103 (2024) - [i126]Patrick Chao, Edoardo Debenedetti, Alexander Robey, Maksym Andriushchenko, Francesco Croce, Vikash Sehwag, Edgar Dobriban, Nicolas Flammarion, George J. Pappas, Florian Tramèr, Hamed Hassani, Eric Wong:
JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models. CoRR abs/2404.01318 (2024) - [i125]Xinmeng Huang, Shuo Li, Mengxin Yu, Matteo Sesia, Hamed Hassani, Insup Lee, Osbert Bastani, Edgar Dobriban:
Uncertainty in Language Models: Assessment through Rank-Calibration. CoRR abs/2404.03163 (2024) - [i124]Shayan Kiyani, George J. Pappas, Hamed Hassani:
Conformal Prediction with Learned Features. CoRR abs/2404.17487 (2024) - [i123]Behrad Moniri, Hamed Hassani:
Signal-Plus-Noise Decomposition of Nonlinear Spiked Random Matrix Models. CoRR abs/2405.18274 (2024) - [i122]Xinmeng Huang, Shuo Li, Edgar Dobriban, Osbert Bastani, Hamed Hassani, Dongsheng Ding:
One-Shot Safety Alignment for Large Language Models via Optimal Dualization. CoRR abs/2405.19544 (2024) - [i121]Mahdi Sabbaghi, George J. Pappas, Hamed Hassani, Surbhi Goel:
Explicitly Encoding Structural Symmetry is Key to Length Generalization in Arithmetic Tasks. CoRR abs/2406.01895 (2024) - [i120]Patrick Chao, Edgar Dobriban, Hamed Hassani:
Watermarking Language Models with Error Correcting Codes. CoRR abs/2406.10281 (2024) - [i119]Behrad Moniri, Hamed Hassani, Edgar Dobriban:
Evaluating the Performance of Large Language Models via Debates. CoRR abs/2406.11044 (2024) - [i118]Shayan Kiyani, George J. Pappas, Hamed Hassani:
Length Optimization in Conformal Prediction. CoRR abs/2406.18814 (2024) - [i117]Hongyan Chang, Hamed Hassani, Reza Shokri:
Watermark Smoothing Attacks against Language Models. CoRR abs/2407.14206 (2024) - [i116]Alexander Robey, Zachary Ravichandran, Vijay Kumar, Hamed Hassani, George J. Pappas:
Jailbreaking LLM-Controlled Robots. CoRR abs/2410.13691 (2024) - 2023
- [j28]Donghwan Lee, Xinmeng Huang, Hamed Hassani, Edgar Dobriban:
T-Cal: An Optimal Test for the Calibration of Predictive Models. J. Mach. Learn. Res. 24: 335:1-335:72 (2023) - [j27]Mohammad Fereydounian, Hamed Hassani, Mohammad Vahid Jamali, Hessam Mahdavifar:
Channel Coding at Low Capacity. IEEE J. Sel. Areas Inf. Theory 4: 351-362 (2023) - [j26]Mohammad Fereydounian, Aryan Mokhtari, Ramtin Pedarsani, Hamed Hassani:
Provably Private Distributed Averaging Consensus: An Information-Theoretic Approach. IEEE Trans. Inf. Theory 69(11): 7317-7335 (2023) - [j25]Edgar Dobriban, Hamed Hassani, David Hong, Alexander Robey:
Provable Tradeoffs in Adversarially Robust Classification. IEEE Trans. Inf. Theory 69(12): 7793-7822 (2023) - [j24]Isidoros Tziotis, Zebang Shen, Ramtin Pedarsani, Hamed Hassani, Aryan Mokhtari:
Straggler-Resilient Personalized Federated Learning. Trans. Mach. Learn. Res. 2023 (2023) - [c98]Thomas T. C. K. Zhang, Bruce D. Lee, Hamed Hassani, Nikolai Matni:
Adversarial Tradeoffs in Robust State Estimation. ACC 2023: 4083-4089 - [c97]Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti:
On a Relation Between the Rate-Distortion Function and Optimal Transport. Tiny Papers @ ICLR 2023 - [c96]Zebang Shen, Jiayuan Ye, Anmin Kang, Hamed Hassani, Reza Shokri:
Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning. ICLR 2023 - [c95]Donghwan Lee, Behrad Moniri, Xinmeng Huang, Edgar Dobriban, Hamed Hassani:
Demystifying Disagreement-on-the-Line in High Dimensions. ICML 2023: 19053-19093 - [c94]Aleksandr Shevchenko, Kevin Kögler, Hamed Hassani, Marco Mondelli:
Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient Methods. ICML 2023: 31151-31209 - [c93]Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti:
Federated Neural Compression Under Heterogeneous Data. ISIT 2023: 525-530 - [c92]Payam Delgosha, Hamed Hassani, Ramtin Pedarsani:
Generalization Properties of Adversarial Training for -ℓ0 Bounded Adversarial Attacks. ITW 2023: 113-118 - [c91]Aritra Mitra, Hamed Hassani, George J. Pappas:
Linear Stochastic Bandits over a Bit-Constrained Channel. L4DC 2023: 1387-1399 - [c90]Haoze Wu, Teruhiro Tagomori, Alexander Robey, Fengjun Yang, Nikolai Matni, George J. Pappas, Hamed Hassani, Corina S. Pasareanu, Clark W. Barrett:
Toward Certified Robustness Against Real-World Distribution Shifts. SaTML 2023: 537-553 - [i115]Aritra Mitra, George J. Pappas, Hamed Hassani:
Temporal Difference Learning with Compressed Updates: Error-Feedback meets Reinforcement Learning. CoRR abs/2301.00944 (2023) - [i114]Donghwan Lee, Behrad Moniri, Xinmeng Huang, Edgar Dobriban, Hamed Hassani:
Demystifying Disagreement-on-the-Line in High Dimensions. CoRR abs/2301.13371 (2023) - [i113]Han Wang, Aritra Mitra, Hamed Hassani, George J. Pappas, James Anderson:
Federated Temporal Difference Learning with Linear Function Approximation under Environmental Heterogeneity. CoRR abs/2302.02212 (2023) - [i112]Bruce D. Lee, Thomas T. C. K. Zhang, Hamed Hassani, Nikolai Matni:
Performance-Robustness Tradeoffs in Adversarially Robust Control and Estimation. CoRR abs/2305.16415 (2023) - [i111]Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti:
Federated Neural Compression Under Heterogeneous Data. CoRR abs/2305.16416 (2023) - [i110]Xinmeng Huang, Kan Xu, Donghwan Lee, Hamed Hassani, Hamsa Bastani, Edgar Dobriban:
Optimal Heterogeneous Collaborative Linear Regression and Contextual Bandits. CoRR abs/2306.06291 (2023) - [i109]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) - [i108]Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti:
On a Relation Between the Rate-Distortion Function and Optimal Transport. CoRR abs/2307.00246 (2023) - [i107]Eric Lei, Yigit Berkay Uslu, Hamed Hassani, Shirin Saeedi Bidokhti:
Text + Sketch: Image Compression at Ultra Low Rates. CoRR abs/2307.01944 (2023) - [i106]Arman Adibi, Aritra Mitra, Hamed Hassani:
Min-Max Optimization under Delays. CoRR abs/2307.06886 (2023) - [i105]Liam Collins, Hamed Hassani, Mahdi Soltanolkotabi, Aryan Mokhtari, Sanjay Shakkottai:
Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks. CoRR abs/2307.06887 (2023) - [i104]Zebang Shen, Jiayuan Ye, Anmin Kang, Hamed Hassani, Reza Shokri:
Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning. CoRR abs/2309.05505 (2023) - [i103]Alexander Robey, Eric Wong, Hamed Hassani, George J. Pappas:
SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks. CoRR abs/2310.03684 (2023) - [i102]Behrad Moniri, Donghwan Lee, Hamed Hassani, Edgar Dobriban:
A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks. CoRR abs/2310.07891 (2023) - [i101]Patrick Chao, Alexander Robey, Edgar Dobriban, Hamed Hassani, George J. Pappas, Eric Wong:
Jailbreaking Black Box Large Language Models in Twenty Queries. CoRR abs/2310.08419 (2023) - [i100]Eric Lei, Arman Adibi, Hamed Hassani:
Score-Based Methods for Discrete Optimization in Deep Learning. CoRR abs/2310.09890 (2023) - [i99]Thomas Waite, Alexander Robey, Hamed Hassani, George J. Pappas, Radoslav Ivanov:
Data-Driven Modeling and Verification of Perception-Based Autonomous Systems. CoRR abs/2312.06848 (2023) - 2022
- [j23]Amirhossein Reisizadeh, Isidoros Tziotis, Hamed Hassani, Aryan Mokhtari, Ramtin Pedarsani:
Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity. IEEE J. Sel. Areas Inf. Theory 3(2): 197-205 (2022) - [j22]Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti:
Neural Estimation of the Rate-Distortion Function With Applications to Operational Source Coding. IEEE J. Sel. Areas Inf. Theory 3(4): 674-686 (2022) - [j21]Payam Delgosha, Hamed Hassani, Ramtin Pedarsani:
Robust Classification Under $\ell_0$ Attack for the Gaussian Mixture Model. SIAM J. Math. Data Sci. 4(1): 362-385 (2022) - [j20]Xingran Chen, Konstantinos Gatsis, Hamed Hassani, Shirin Saeedi Bidokhti:
Age of Information in Random Access Channels. IEEE Trans. Inf. Theory 68(10): 6548-6568 (2022) - [c89]Arman Adibi, Aryan Mokhtari, Hamed Hassani:
Minimax Optimization: The Case of Convex-Submodular. AISTATS 2022: 3556-3580 - [c88]Zebang Shen, Hamed Hassani, Satyen Kale, Amin Karbasi:
Federated Functional Gradient Boosting. AISTATS 2022: 7814-7840 - [c87]Anton Xue, Lars Lindemann, Alexander Robey, Hamed Hassani, George J. Pappas, Rajeev Alur:
Chordal Sparsity for Lipschitz Constant Estimation of Deep Neural Networks. CDC 2022: 3389-3396 - [c86]Bruce D. Lee, Thomas T. C. K. Zhang, Hamed Hassani, Nikolai Matni:
Performance-Robustness Tradeoffs in Adversarially Robust Linear-Quadratic Control. CDC 2022: 3416-3423 - [c85]Arman Adibi, Aritra Mitra, George J. Pappas, Hamed Hassani:
Distributed Statistical Min-Max Learning in the Presence of Byzantine Agents. CDC 2022: 4179-4184 - [c84]Zebang Shen, Zhenfu Wang, Satyen Kale, Alejandro Ribeiro, Amin Karbasi, Hamed Hassani:
Self-Consistency of the Fokker Planck Equation. COLT 2022: 817-841 - [c83]Amirhossein Reisizadeh, Isidoros Tziotis, Hamed Hassani, Aryan Mokhtari, Ramtin Pedarsani:
Adaptive Node Participation for Straggler-Resilient Federated Learning. ICASSP 2022: 8762-8766 - [c82]Mohammad Vahid Jamali, Mohammad Fereydounian, Hessam Mahdavifar, Hamed Hassani:
Low-Complexity Decoding of a Class of Reed-Muller Subcodes for Low-Capacity Channels. ICC 2022: 123-128 - [c81]Zebang Shen, Juan Cerviño, Hamed Hassani, Alejandro Ribeiro:
An Agnostic Approach to Federated Learning with Class Imbalance. ICLR 2022 - [c80]Allan Zhou, Fahim Tajwar, Alexander Robey, Tom Knowles, George J. Pappas, Hamed Hassani, Chelsea Finn:
Do deep networks transfer invariances across classes? ICLR 2022 - [c79]Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani:
Probabilistically Robust Learning: Balancing Average and Worst-case Performance. ICML 2022: 18667-18686 - [c78]Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti:
Neural Estimation of the Rate-Distortion Function for Massive Datasets. ISIT 2022: 608-613 - [c77]Payam Delgosha, Hamed Hassani, Ramtin Pedarsani:
Binary Classification Under ℓ0 Attacks for General Noise Distribution. ISIT 2022: 1731-1736 - [c76]Mark Beliaev, Payam Delgosha, Hamed Hassani, Ramtin Pedarsani:
Efficient and Robust Classification for Sparse Attacks. ISIT 2022: 3150-3155 - [c75]Liam Collins, Hamed Hassani, Aryan Mokhtari, Sanjay Shakkottai:
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning. NeurIPS 2022 - [c74]Cian Eastwood, Alexander Robey, Shashank Singh, Julius von Kügelgen, Hamed Hassani, George J. Pappas, Bernhard Schölkopf:
Probable Domain Generalization via Quantile Risk Minimization. NeurIPS 2022 - [c73]Xinmeng Huang, Donghwan Lee, Edgar Dobriban, Hamed Hassani:
Collaborative Learning of Discrete Distributions under Heterogeneity and Communication Constraints. NeurIPS 2022 - [c72]Aritra Mitra, Arman Adibi, George J. Pappas, Hamed Hassani:
Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds. NeurIPS 2022 - [i98]Hamed Hassani, Adel Javanmard:
The curse of overparametrization in adversarial training: Precise analysis of robust generalization for random features regression. CoRR abs/2201.05149 (2022) - [i97]Mark Beliaev, Payam Delgosha, Hamed Hassani, Ramtin Pedarsani:
Efficient and Robust Classification for Sparse Attacks. CoRR abs/2201.09369 (2022) - [i96]Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani:
Probabilistically Robust Learning: Balancing Average- and Worst-case Performance. CoRR abs/2202.01136 (2022) - [i95]Mohammad Vahid Jamali, Mohammad Fereydounian, Hessam Mahdavifar, Hamed Hassani:
Low-Complexity Decoding of a Class of Reed-Muller Subcodes for Low-Capacity Channels. CoRR abs/2202.03654 (2022) - [i94]Mohammad Fereydounian, Hamed Hassani, Javid Dadashkarimi, Amin Karbasi:
The Exact Class of Graph Functions Generated by Graph Neural Networks. CoRR abs/2202.08833 (2022) - [i93]Mohammad Fereydounian, Aryan Mokhtari, Ramtin Pedarsani, Hamed Hassani:
Provably Private Distributed Averaging Consensus: An Information-Theoretic Approach. CoRR abs/2202.09398 (2022) - [i92]Aritra Mitra, Hamed Hassani, George J. Pappas:
Linear Stochastic Bandits over a Bit-Constrained Channel. CoRR abs/2203.01198 (2022) - [i91]Donghwan Lee, Xinmeng Huang, Hamed Hassani, Edgar Dobriban:
T-Cal: An optimal test for the calibration of predictive models. CoRR abs/2203.01850 (2022) - [i90]Payam Delgosha, Hamed Hassani, Ramtin Pedarsani:
Binary Classification Under 𝓁0 Attacks for General Noise Distribution. CoRR abs/2203.04855 (2022) - [i89]Allan Zhou, Fahim Tajwar, Alexander Robey, Tom Knowles, George J. Pappas, Hamed Hassani, Chelsea Finn:
Do Deep Networks Transfer Invariances Across Classes? CoRR abs/2203.09739 (2022) - [i88]Bruce D. Lee, Thomas T. C. K. Zhang, Hamed Hassani, Nikolai Matni:
Performance-Robustness Tradeoffs in Adversarially Robust Linear-Quadratic Control. CoRR abs/2203.10763 (2022) - [i87]Anton Xue, Lars Lindemann, Alexander Robey, Hamed Hassani, George J. Pappas, Rajeev Alur:
Chordal Sparsity for Lipschitz Constant Estimation of Deep Neural Networks. CoRR abs/2204.00846 (2022) - [i86]Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti:
Neural Estimation of the Rate-Distortion Function With Applications to Operational Source Coding. CoRR abs/2204.01612 (2022) - [i85]Arman Adibi, Aritra Mitra, George J. Pappas, Hamed Hassani:
Distributed Statistical Min-Max Learning in the Presence of Byzantine Agents. CoRR abs/2204.03187 (2022) - [i84]Liam Collins, Hamed Hassani, Aryan Mokhtari, Sanjay Shakkottai:
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning. CoRR abs/2205.13692 (2022) - [i83]Xinmeng Huang, Donghwan Lee, Edgar Dobriban, Hamed Hassani:
Collaborative Learning of Distributions under Heterogeneity and Communication Constraints. CoRR abs/2206.00707 (2022) - [i82]Zebang Shen, Zhenfu Wang, Satyen Kale, Alejandro Ribeiro, Amin Karbasi, Hamed Hassani:
Self-Consistency of the Fokker-Planck Equation. CoRR abs/2206.00860 (2022) - [i81]Isidoros Tziotis, Zebang Shen, Ramtin Pedarsani, Hamed Hassani, Aryan Mokhtari:
Straggler-Resilient Personalized Federated Learning. CoRR abs/2206.02078 (2022) - [i80]Aritra Mitra, Arman Adibi, George J. Pappas, Hamed Hassani:
Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds. CoRR abs/2206.02834 (2022) - [i79]Haoze Wu, Teruhiro Tagomori, Alexander Robey, Fengjun Yang, Nikolai Matni, George J. Pappas, Hamed Hassani, Corina S. Pasareanu, Clark W. Barrett:
Toward Certified Robustness Against Real-World Distribution Shifts. CoRR abs/2206.03669 (2022) - [i78]Cian Eastwood, Alexander Robey, Shashank Singh, Julius von Kügelgen, Hamed Hassani, George J. Pappas, Bernhard Schölkopf:
Probable Domain Generalization via Quantile Risk Minimization. CoRR abs/2207.09944 (2022) - [i77]Alexander Shevchenko, Kevin Kögler, Hamed Hassani, Marco Mondelli:
Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient Methods. CoRR abs/2212.13468 (2022) - 2021
- [j19]Konstantinos Gatsis, Hamed Hassani, George J. Pappas:
Latency-Reliability Tradeoffs for State Estimation. IEEE Trans. Autom. Control. 66(3): 1009-1023 (2021) - [j18]Arman Fazeli, Hamed Hassani, Marco Mondelli, Alexander Vardy:
Binary Linear Codes With Optimal Scaling: Polar Codes With Large Kernels. IEEE Trans. Inf. Theory 67(9): 5693-5710 (2021) - [j17]Deepak S. Kalhan, Amrit Singh Bedi, Alec Koppel, Ketan Rajawat, Hamed Hassani, Abhishek K. Gupta, Adrish Banerjee:
Dynamic Online Learning via Frank-Wolfe Algorithm. IEEE Trans. Signal Process. 69: 932-947 (2021) - [c71]Aritra Mitra, Rayana H. Jaafar, George J. Pappas, Hamed Hassani:
Federated Learning with Incrementally Aggregated Gradients. CDC 2021: 775-782 - [c70]Aritra Mitra, Hamed Hassani, George J. Pappas:
Online Federated Learning. CDC 2021: 4083-4090 - [c69]Liam Collins, Hamed Hassani, Aryan Mokhtari, Sanjay Shakkottai:
Exploiting Shared Representations for Personalized Federated Learning. ICML 2021: 2089-2099 - [c68]Heejin Jeong, Hamed Hassani, Manfred Morari, Daniel D. Lee, George J. Pappas:
Deep Reinforcement Learning for Active Target Tracking. ICRA 2021: 1825-1831 - [c67]Alexander Robey, Arman Adibi, Brent Schlotfeldt, Hamed Hassani, George J. Pappas:
Optimal Algorithms for Submodular Maximization with Distributed Constraints. L4DC 2021: 150-162 - [c66]Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani, Alejandro Ribeiro:
Adversarial Robustness with Semi-Infinite Constrained Learning. NeurIPS 2021: 6198-6215 - [c65]Aritra Mitra, Rayana H. Jaafar, George J. Pappas, Hamed Hassani:
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients. NeurIPS 2021: 14606-14619 - [c64]Alexander Robey, George J. Pappas, Hamed Hassani:
Model-Based Domain Generalization. NeurIPS 2021: 20210-20229 - [i76]Aritra Mitra, Rayana H. Jaafar, George J. Pappas, Hamed Hassani:
Achieving Linear Convergence in Federated Learning under Objective and Systems Heterogeneity. CoRR abs/2102.07053 (2021) - [i75]Liam Collins, Hamed Hassani, Aryan Mokhtari, Sanjay Shakkottai:
Exploiting Shared Representations for Personalized Federated Learning. CoRR abs/2102.07078 (2021) - [i74]Alexander Robey, George J. Pappas, Hamed Hassani:
Model-Based Domain Generalization. CoRR abs/2102.11436 (2021) - [i73]Zebang Shen, Hamed Hassani, Satyen Kale, Amin Karbasi:
Federated Functional Gradient Boosting. CoRR abs/2103.06972 (2021) - [i72]Payam Delgosha, Hamed Hassani, Ramtin Pedarsani:
Robust Classification Under 𝓁0 Attack for the Gaussian Mixture Model. CoRR abs/2104.02189 (2021) - [i71]Francisco Barreras, Mikhail Hayhoe, Hamed Hassani, Victor M. Preciado:
AutoEKF: Scalable System Identification for COVID-19 Forecasting from Large-Scale GPS Data. CoRR abs/2106.14357 (2021) - [i70]Aritra Mitra, Hamed Hassani, George J. Pappas:
Exploiting Heterogeneity in Robust Federated Best-Arm Identification. CoRR abs/2109.05700 (2021) - [i69]Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti:
Out-of-Distribution Robustness in Deep Learning Compression. CoRR abs/2110.07007 (2021) - [i68]Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani, Alejandro Ribeiro:
Adversarial Robustness with Semi-Infinite Constrained Learning. CoRR abs/2110.15767 (2021) - [i67]Arman Adibi, Aryan Mokhtari, Hamed Hassani:
Minimax Optimization: The Case of Convex-Submodular. CoRR abs/2111.01262 (2021) - [i66]Bruce D. Lee, Thomas T. C. K. Zhang, Hamed Hassani, Nikolai Matni:
Adversarial Tradeoffs in Linear Inverse Problems and Robust State Estimation. CoRR abs/2111.08864 (2021) - 2020
- [j16]Aryan Mokhtari, Hamed Hassani, Amin Karbasi:
Stochastic Conditional Gradient Methods: From Convex Minimization to Submodular Maximization. J. Mach. Learn. Res. 21: 105:1-105:49 (2020) - [j15]Hamed Hassani, Amin Karbasi, Aryan Mokhtari, Zebang Shen:
Stochastic Conditional Gradient++: (Non)Convex Minimization and Continuous Submodular Maximization. SIAM J. Optim. 30(4): 3315-3344 (2020) - [c63]Lin Chen, Mingrui Zhang, Hamed Hassani, Amin Karbasi:
Black Box Submodular Maximization: Discrete and Continuous Settings. AISTATS 2020: 1058-1070 - [c62]Amirhossein Reisizadeh, Aryan Mokhtari, Hamed Hassani, Ali Jadbabaie, Ramtin Pedarsani:
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization. AISTATS 2020: 2021-2031 - [c61]Mingrui Zhang, Lin Chen, Aryan Mokhtari, Hamed Hassani, Amin Karbasi:
Quantized Frank-Wolfe: Faster Optimization, Lower Communication, and Projection Free. AISTATS 2020: 3696-3706 - [c60]Mingrui Zhang, Zebang Shen, Aryan Mokhtari, Hamed Hassani, Amin Karbasi:
One Sample Stochastic Frank-Wolfe. AISTATS 2020: 4012-4023 - [c59]Adel Javanmard, Mahdi Soltanolkotabi, Hamed Hassani:
Precise Tradeoffs in Adversarial Training for Linear Regression. COLT 2020: 2034-2078 - [c58]Hossein Taheri, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani:
Quantized Decentralized Stochastic Learning over Directed Graphs. ICML 2020: 9324-9333 - [c57]Xingran Chen, Konstantinos Gatsis, Hamed Hassani, Shirin Saeedi Bidokhti:
Age of Information in Random Access Channels. ISIT 2020: 1770-1775 - [c56]Arman Adibi, Aryan Mokhtari, Hamed Hassani:
Submodular Meta-Learning. NeurIPS 2020 - [c55]Zebang Shen, Zhenfu Wang, Alejandro Ribeiro, Hamed Hassani:
Sinkhorn Barycenter via Functional Gradient Descent. NeurIPS 2020 - [c54]Zebang Shen, Zhenfu Wang, Alejandro Ribeiro, Hamed Hassani:
Sinkhorn Natural Gradient for Generative Models. NeurIPS 2020 - [i65]Hossein Taheri, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani:
Quantized Push-sum for Gossip and Decentralized Optimization over Directed Graphs. CoRR abs/2002.09964 (2020) - [i64]Adel Javanmard, Mahdi Soltanolkotabi, Hamed Hassani:
Precise Tradeoffs in Adversarial Training for Linear Regression. CoRR abs/2002.10477 (2020) - [i63]Alexander Robey, Hamed Hassani, George J. Pappas:
Model-Based Robust Deep Learning. CoRR abs/2005.10247 (2020) - [i62]Edgar Dobriban, Hamed Hassani, David Hong, Alexander Robey:
Provable tradeoffs in adversarially robust classification. CoRR abs/2006.05161 (2020) - [i61]Heejin Jeong, Hamed Hassani, Manfred Morari, Daniel D. Lee, George J. Pappas:
Learning to Track Dynamic Targets in Partially Known Environments. CoRR abs/2006.10190 (2020) - [i60]Mohammad Fereydounian, Zebang Shen, Aryan Mokhtari, Amin Karbasi, Hamed Hassani:
Safe Learning under Uncertain Objectives and Constraints. CoRR abs/2006.13326 (2020) - [i59]Arman Adibi, Aryan Mokhtari, Hamed Hassani:
Submodular Meta-Learning. CoRR abs/2007.05852 (2020) - [i58]Zebang Shen, Zhenfu Wang, Alejandro Ribeiro, Hamed Hassani:
Sinkhorn Barycenter via Functional Gradient Descent. CoRR abs/2007.10449 (2020) - [i57]Zebang Shen, Zhenfu Wang, Alejandro Ribeiro, Hamed Hassani:
Sinkhorn Natural Gradient for Generative Models. CoRR abs/2011.04162 (2020) - [i56]Amirhossein Reisizadeh, Isidoros Tziotis, Hamed Hassani, Aryan Mokhtari, Ramtin Pedarsani:
Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity. CoRR abs/2012.14453 (2020)
2010 – 2019
- 2019
- [j14]Marco Mondelli, S. Hamed Hassani, Rüdiger L. Urbanke:
A New Coding Paradigm for the Primitive Relay Channel. Algorithms 12(10): 218 (2019) - [j13]Marco Mondelli, S. Hamed Hassani, Rüdiger L. Urbanke:
Construction of Polar Codes With Sublinear Complexity. IEEE Trans. Inf. Theory 65(5): 2782-2791 (2019) - [j12]Amirhossein Reisizadeh, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani:
An Exact Quantized Decentralized Gradient Descent Algorithm. IEEE Trans. Signal Process. 67(19): 4934-4947 (2019) - [c53]Yogesh Balaji, Hamed Hassani, Rama Chellappa, Soheil Feizi:
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs. ICML 2019: 414-423 - [c52]Zebang Shen, Alejandro Ribeiro, Hamed Hassani, Hui Qian, Chao Mi:
Hessian Aided Policy Gradient. ICML 2019: 5729-5738 - [c51]Heejin Jeong, Brent Schlotfeldt, Hamed Hassani, Manfred Morari, Daniel D. Lee, George J. Pappas:
Learning Q-network for Active Information Acquisition. IROS 2019: 6822-6827 - [c50]Mohammad Fereydounian, Xingran Chen, Hamed Hassani, Shirin Saeedi Bidokhti:
Non-asymptotic Coded Slotted ALOHA. ISIT 2019: 111-115 - [c49]Mohammad Fereydounian, Mohammad Vahid Jamali, Hamed Hassani, Hessam Mahdavifar:
Channel Coding at Low Capacity. ITW 2019: 1-5 - [c48]Amirhossein Reisizadeh, Hossein Taheri, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani:
Robust and Communication-Efficient Collaborative Learning. NeurIPS 2019: 8386-8397 - [c47]Mingrui Zhang, Lin Chen, Hamed Hassani, Amin Karbasi:
Online Continuous Submodular Maximization: From Full-Information to Bandit Feedback. NeurIPS 2019: 9206-9217 - [c46]Mahyar Fazlyab, Alexander Robey, Hamed Hassani, Manfred Morari, George J. Pappas:
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks. NeurIPS 2019: 11423-11434 - [c45]Amin Karbasi, Hamed Hassani, Aryan Mokhtari, Zebang Shen:
Stochastic Continuous Greedy ++: When Upper and Lower Bounds Match. NeurIPS 2019: 13066-13076 - [i55]Lin Chen, Mingrui Zhang, Hamed Hassani, Amin Karbasi:
Black Box Submodular Maximization: Discrete and Continuous Settings. CoRR abs/1901.09515 (2019) - [i54]Mingrui Zhang, Lin Chen, Aryan Mokhtari, Hamed Hassani, Amin Karbasi:
Quantized Frank-Wolfe: Communication-Efficient Distributed Optimization. CoRR abs/1902.06332 (2019) - [i53]Hamed Hassani, Amin Karbasi, Aryan Mokhtari, Zebang Shen:
Stochastic Conditional Gradient++. CoRR abs/1902.06992 (2019) - [i52]Mahyar Fazlyab, Alexander Robey, Hamed Hassani, Manfred Morari, George J. Pappas:
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks. CoRR abs/1906.04893 (2019) - [i51]Amirhossein Reisizadeh, Hossein Taheri, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani:
Robust and Communication-Efficient Collaborative Learning. CoRR abs/1907.10595 (2019) - [i50]Amirhossein Reisizadeh, Aryan Mokhtari, Hamed Hassani, Ali Jadbabaie, Ramtin Pedarsani:
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization. CoRR abs/1909.13014 (2019) - [i49]Alexander Robey, Arman Adibi, Brent Schlotfeldt, George J. Pappas, Hamed Hassani:
Optimal Algorithms for Submodular Maximization with Distributed Constraints. CoRR abs/1909.13676 (2019) - [i48]Mingrui Zhang, Zebang Shen, Aryan Mokhtari, Hamed Hassani, Amin Karbasi:
One Sample Stochastic Frank-Wolfe. CoRR abs/1910.04322 (2019) - [i47]Heejin Jeong, Brent Schlotfeldt, Hamed Hassani, Manfred Morari, Daniel D. Lee, George J. Pappas:
Learning Q-network for Active Information Acquisition. CoRR abs/1910.10754 (2019) - [i46]Mingrui Zhang, Lin Chen, Hamed Hassani, Amin Karbasi:
Online Continuous Submodular Maximization: From Full-Information to Bandit Feedback. CoRR abs/1910.12424 (2019) - [i45]Xingran Chen, Konstantinos Gatsis, Hamed Hassani, Shirin Saeedi Bidokhti:
Age of Information in Random Access Channels. CoRR abs/1912.01473 (2019) - 2018
- [j11]Seyyed Ali Hashemi, Marco Mondelli, S. Hamed Hassani, Carlo Condo, Rüdiger L. Urbanke, Warren J. Gross:
Decoder Partitioning: Towards Practical List Decoding of Polar Codes. IEEE Trans. Commun. 66(9): 3749-3759 (2018) - [j10]Marco Mondelli, S. Hamed Hassani, Rüdiger L. Urbanke:
How to Achieve the Capacity of Asymmetric Channels. IEEE Trans. Inf. Theory 64(5): 3371-3393 (2018) - [c44]Adish Singla, Seyed Hamed Hassani, Andreas Krause:
Learning to Interact With Learning Agents. AAAI 2018: 4083-4090 - [c43]Aryan Mokhtari, Hamed Hassani, Amin Karbasi:
Conditional Gradient Method for Stochastic Submodular Maximization: Closing the Gap. AISTATS 2018: 1886-1895 - [c42]Lin Chen, Hamed Hassani, Amin Karbasi:
Online Continuous Submodular Maximization. AISTATS 2018: 1896-1905 - [c41]Amirhossein Reisizadeh, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani:
Quantized Decentralized Consensus Optimization. CDC 2018: 5838-5843 - [c40]Lin Chen, Christopher Harshaw, Hamed Hassani, Amin Karbasi:
Projection-Free Online Optimization with Stochastic Gradient: From Convexity to Submodularity. ICML 2018: 813-822 - [c39]Aryan Mokhtari, Hamed Hassani, Amin Karbasi:
Decentralized Submodular Maximization: Bridging Discrete and Continuous Settings. ICML 2018: 3613-3622 - [c38]S. Hamed Hassani, Shrinivas Kudekar, Or Ordentlich, Yury Polyanskiy, Rüdiger L. Urbanke:
Almost Optimal Scaling of Reed-Muller Codes on BEC and BSC Channels. ISIT 2018: 311-315 - [c37]Marco Mondelli, S. Hamed Hassani, Rüdiger L. Urbanke:
A New Coding Paradigm for the Primitive Relay Channel. ISIT 2018: 351-355 - [c36]Arman Fazeli, S. Hamed Hassani, Marco Mondelli, Alexander Vardy:
Binary Linear Codes with Optimal Scaling: Polar Codes with Large Kernels. ITW 2018: 1-5 - [c35]Alkis Gotovos, S. Hamed Hassani, Andreas Krause, Stefanie Jegelka:
Discrete Sampling using Semigradient-based Product Mixtures. UAI 2018: 229-237 - [i44]Marco Mondelli, S. Hamed Hassani, Rüdiger L. Urbanke:
A New Coding Paradigm for the Primitive Relay Channel. CoRR abs/1801.03153 (2018) - [i43]S. Hamed Hassani, Shrinivas Kudekar, Or Ordentlich, Yury Polyanskiy, Rüdiger L. Urbanke:
Almost Optimal Scaling of Reed-Muller Codes on BEC and BSC Channels. CoRR abs/1801.09481 (2018) - [i42]Lin Chen, Hamed Hassani, Amin Karbasi:
Online Continuous Submodular Maximization. CoRR abs/1802.06052 (2018) - [i41]Aryan Mokhtari, Hamed Hassani, Amin Karbasi:
Stochastic Conditional Gradient Methods: From Convex Minimization to Submodular Maximization. CoRR abs/1804.09554 (2018) - [i40]Amirhossein Reisizadeh, Aryan Mokhtari, S. Hamed Hassani, Ramtin Pedarsani:
Quantized Decentralized Consensus Optimization. CoRR abs/1806.11536 (2018) - [i39]Alkis Gotovos, S. Hamed Hassani, Andreas Krause, Stefanie Jegelka:
Discrete Sampling using Semigradient-based Product Mixtures. CoRR abs/1807.01808 (2018) - [i38]Yogesh Balaji, Hamed Hassani, Rama Chellappa, Soheil Feizi:
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs. CoRR abs/1810.04147 (2018) - [i37]Konstantinos Gatsis, Hamed Hassani, George J. Pappas:
Latency-Reliability Tradeoffs for State Estimation. CoRR abs/1810.11831 (2018) - [i36]Mikhail Hayhoe, Francisco Barreras, Hamed Hassani, Victor M. Preciado:
SPECTRE: Seedless Network Alignment via Spectral Centralities. CoRR abs/1811.01056 (2018) - [i35]Mohammad Fereydounian, Mohammad Vahid Jamali, Hamed Hassani, Hessam Mahdavifar:
Channel Coding at Low Capacity. CoRR abs/1811.04322 (2018) - 2017
- [c34]Lin Chen, Seyed Hamed Hassani, Amin Karbasi:
Near-Optimal Active Learning of Halfspaces via Query Synthesis in the Noisy Setting. AAAI 2017: 1798-1804 - [c33]Yuxin Chen, Seyed Hamed Hassani, Andreas Krause:
Near-optimal Bayesian Active Learning with Correlated and Noisy Tests. AISTATS 2017: 223-231 - [c32]Seyyed Ali Hashemi, Marco Mondelli, S. Hamed Hassani, Rüdiger L. Urbanke, Warren J. Gross:
Partitioned List Decoding of Polar Codes: Analysis and Improvement of Finite Length Performance. GLOBECOM 2017: 1-7 - [c31]Olivier Bachem, Mario Lucic, S. Hamed Hassani, Andreas Krause:
Uniform Deviation Bounds for k-Means Clustering. ICML 2017: 283-291 - [c30]Dimitris Achlioptas, S. Hamed Hassani, Wei Liu, Rüdiger L. Urbanke:
Time-invariant LDPC convolutional codes. ISIT 2017: 366-370 - [c29]Marco Mondelli, S. Hamed Hassani, Rüdiger L. Urbanke:
Construction of polar codes with sublinear complexity. ISIT 2017: 1853-1857 - [c28]S. Hamed Hassani, Mahdi Soltanolkotabi, Amin Karbasi:
Gradient Methods for Submodular Maximization. NIPS 2017: 5841-5851 - [c27]Mohammad Reza Karimi, Mario Lucic, S. Hamed Hassani, Andreas Krause:
Stochastic Submodular Maximization: The Case of Coverage Functions. NIPS 2017: 6853-6863 - [c26]Marco Mondelli, S. Hamed Hassani, Ivana Maric, Dennis Hui, Song-Nam Hong:
Capacity-Achieving Rate-Compatible Polar Codes for General Channels. WCNC Workshops 2017: 1-6 - [i34]Dimitris Achlioptas, Seyed Hamed Hassani, Wei Liu, Rüdiger L. Urbanke:
Time-Invariant LDPC Convolutional Codes. CoRR abs/1702.04539 (2017) - [i33]Adish Singla, Seyed Hamed Hassani, Andreas Krause:
Learning to Use Learners' Advice. CoRR abs/1702.04825 (2017) - [i32]Olivier Bachem, Mario Lucic, S. Hamed Hassani, Andreas Krause:
Uniform Deviation Bounds for Unbounded Loss Functions like k-Means. CoRR abs/1702.08249 (2017) - [i31]Seyyed Ali Hashemi, Marco Mondelli, S. Hamed Hassani, Rüdiger L. Urbanke, Warren J. Gross:
Partitioned List Decoding of Polar Codes: Analysis and Improvement of Finite Length Performance. CoRR abs/1705.05497 (2017) - [i30]Hadi Daneshmand, Hamed Hassani, Thomas Hofmann:
Accelerated Dual Learning by Homotopic Initialization. CoRR abs/1706.03958 (2017) - [i29]S. Hamed Hassani, Mahdi Soltanolkotabi, Amin Karbasi:
Gradient Methods for Submodular Maximization. CoRR abs/1708.03949 (2017) - [i28]Arman Fazeli, S. Hamed Hassani, Marco Mondelli, Alexander Vardy:
Binary Linear Codes with Optimal Scaling and Quasi-Linear Complexity. CoRR abs/1711.01339 (2017) - [i27]Mohammad Reza Karimi, Mario Lucic, S. Hamed Hassani, Andreas Krause:
Stochastic Submodular Maximization: The Case of Coverage Functions. CoRR abs/1711.01566 (2017) - [i26]Aryan Mokhtari, S. Hamed Hassani, Amin Karbasi:
Conditional Gradient Method for Stochastic Submodular Maximization: Closing the Gap. CoRR abs/1711.01660 (2017) - 2016
- [j9]Ehsan Kazemi, Seyed Hamed Hassani, Matthias Grossglauser, Hassan Pezeshgi Modarres:
PROPER: global protein interaction network alignment through percolation matching. BMC Bioinform. 17: 527:1-527:16 (2016) - [j8]Joseph M. Renes, David Sutter, Seyed Hamed Hassani:
Alignment of Polarized Sets. IEEE J. Sel. Areas Commun. 34(2): 224-238 (2016) - [j7]Marco Mondelli, S. Hamed Hassani, Rüdiger L. Urbanke:
Unified Scaling of Polar Codes: Error Exponent, Scaling Exponent, Moderate Deviations, and Error Floors. IEEE Trans. Inf. Theory 62(12): 6698-6712 (2016) - [c25]Olivier Bachem, Mario Lucic, S. Hamed Hassani, Andreas Krause:
Approximate K-Means++ in Sublinear Time. AAAI 2016: 1459-1467 - [c24]Olivier Bachem, Mario Lucic, Seyed Hamed Hassani, Andreas Krause:
Fast and Provably Good Seedings for k-Means. NIPS 2016: 55-63 - [c23]Dimitris Achlioptas, Seyed Hamed Hassani, Nicolas Macris, Rüdiger L. Urbanke:
Bounds for Random Constraint Satisfaction Problems via Spatial Coupling. SODA 2016: 469-479 - [i25]Lin Chen, S. Hamed Hassani, Amin Karbasi:
Dimension Coupling: Optimal Active Learning of Halfspaces via Query Synthesis. CoRR abs/1603.03515 (2016) - [i24]Yuxin Chen, S. Hamed Hassani, Andreas Krause:
Near-optimal Bayesian Active Learning with Correlated and Noisy Tests. CoRR abs/1605.07334 (2016) - [i23]Marco Mondelli, S. Hamed Hassani, Ivana Maric, Dennis Hui, Song-Nam Hong:
Capacity-Achieving Rate-Compatible Polar Codes for General Channels. CoRR abs/1611.01199 (2016) - [i22]Marco Mondelli, S. Hamed Hassani, Rüdiger L. Urbanke:
Construction of Polar Codes with Sublinear Complexity. CoRR abs/1612.05295 (2016) - 2015
- [j6]Ehsan Kazemi, Seyed Hamed Hassani, Matthias Grossglauser:
Growing a Graph Matching from a Handful of Seeds. Proc. VLDB Endow. 8(10): 1010-1021 (2015) - [j5]Marco Mondelli, Seyed Hamed Hassani, Igal Sason, Rüdiger L. Urbanke:
Achieving Marton's Region for Broadcast Channels Using Polar Codes. IEEE Trans. Inf. Theory 61(2): 783-800 (2015) - [j4]Marco Mondelli, Seyed Hamed Hassani, Rüdiger L. Urbanke:
Scaling Exponent of List Decoders With Applications to Polar Codes. IEEE Trans. Inf. Theory 61(9): 4838-4851 (2015) - [c22]Yuxin Chen, S. Hamed Hassani, Amin Karbasi, Andreas Krause:
Sequential Information Maximization: When is Greedy Near-optimal? COLT 2015: 338-363 - [c21]Marco Mondelli, Rüdiger L. Urbanke, Seyed Hamed Hassani:
Unified scaling of polar codes: Error exponent, scaling exponent, moderate deviations, and error floors. ISIT 2015: 1422-1426 - [c20]Joseph M. Renes, David Sutter, Seyed Hamed Hassani:
Alignment of polarized sets. ISIT 2015: 2446-2450 - [c19]Alkis Gotovos, S. Hamed Hassani, Andreas Krause:
Sampling from Probabilistic Submodular Models. NIPS 2015: 1945-1953 - [i21]Marco Mondelli, Seyed Hamed Hassani, Rüdiger L. Urbanke:
Unified Scaling of Polar Codes: Error Exponent, Scaling Exponent, Moderate Deviations, and Error Floors. CoRR abs/1501.02444 (2015) - 2014
- [j3]Marco Mondelli, Seyed Hamed Hassani, Rüdiger L. Urbanke:
From Polar to Reed-Muller Codes: A Technique to Improve the Finite-Length Performance. IEEE Trans. Commun. 62(9): 3084-3091 (2014) - [j2]Seyed Hamed Hassani, Kasra Alishahi, Rüdiger L. Urbanke:
Finite-Length Scaling for Polar Codes. IEEE Trans. Inf. Theory 60(10): 5875-5898 (2014) - [c18]Marco Mondelli, Rüdiger L. Urbanke, Seyed Hamed Hassani:
How to achieve the capacity of asymmetric channels. Allerton 2014: 789-796 - [c17]Marco Mondelli, Seyed Hamed Hassani, Rüdiger L. Urbanke:
From polar to Reed-Muller codes: A technique to improve the finite-length performance. ISIT 2014: 131-135 - [c16]Marco Mondelli, Seyed Hamed Hassani, Rüdiger L. Urbanke, Igal Sason:
Achieving Marton's region for broadcast channels using polar codes. ISIT 2014: 306-310 - [c15]Seyed Hamed Hassani, Rüdiger L. Urbanke:
Universal polar codes. ISIT 2014: 1451-1455 - [i20]Marco Mondelli, Seyed Hamed Hassani, Rüdiger L. Urbanke:
From Polar to Reed-Muller Codes: a Technique to Improve the Finite-Length Performance. CoRR abs/1401.3127 (2014) - [i19]Marco Mondelli, Seyed Hamed Hassani, Igal Sason, Rüdiger L. Urbanke:
Achieving the Superposition and Binning Regions for Broadcast Channels Using Polar Codes. CoRR abs/1401.6060 (2014) - [i18]Marco Mondelli, Seyed Hamed Hassani, Rüdiger L. Urbanke:
How to Achieve the Capacity of Asymmetric Channels. CoRR abs/1406.7373 (2014) - [i17]Joseph M. Renes, David Sutter, Seyed Hamed Hassani:
Alignment of Polarized Sets. CoRR abs/1411.7925 (2014) - 2013
- [b1]Seyed Hamed Hassani:
Polarization and Spatial Coupling - Two Techniques to Boost Performance. EPFL, Switzerland, 2013 - [j1]Seyed Hamed Hassani, Ryuhei Mori, Toshiyuki Tanaka, Rüdiger L. Urbanke:
Rate-Dependent Analysis of the Asymptotic Behavior of Channel Polarization. IEEE Trans. Inf. Theory 59(4): 2267-2276 (2013) - [c14]Seyed Hamed Hassani, Nicolas Macris, Rüdiger L. Urbanke:
The space of solutions of coupled XORSAT formulae. ISIT 2013: 2453-2457 - [c13]Wei Liu, Seyed Hamed Hassani, Rüdiger L. Urbanke:
The least degraded and the least upgraded channel with respect to a channel family. ITW 2013: 1-5 - [c12]Marco Mondelli, Seyed Hamed Hassani, Rüdiger L. Urbanke:
Scaling exponent of list decoders with applications to polar codes. ITW 2013: 1-5 - [c11]S. Hamed Hassani:
Extended polar codes perform better in terms of compound rate and scaling behavior. IWCIT 2013: 1-5 - [i16]Seyed Hamed Hassani, Nicolas Macris, Rüdiger L. Urbanke:
The Space of Solutions of Coupled XORSAT Formulae. CoRR abs/1303.0540 (2013) - [i15]Seyed Hamed Hassani, Kasra Alishahi, Rüdiger L. Urbanke:
Finite-Length Scaling of Polar Codes. CoRR abs/1304.4778 (2013) - [i14]Wei Liu, Seyed Hamed Hassani, Rüdiger L. Urbanke:
The Least Degraded and the Least Upgraded Channel with respect to a Channel Family. CoRR abs/1304.5150 (2013) - [i13]Marco Mondelli, Seyed Hamed Hassani, Rüdiger L. Urbanke:
Scaling Exponent of List Decoders with Applications to Polar Codes. CoRR abs/1304.5220 (2013) - [i12]Seyed Hamed Hassani, Rüdiger L. Urbanke:
Universal Polar Codes. CoRR abs/1307.7223 (2013) - 2012
- [c10]Ali Goli, Seyed Hamed Hassani, Rüdiger L. Urbanke:
Universal bounds on the scaling behavior of polar codes. ISIT 2012: 1957-1961 - [c9]Seyed Hamed Hassani, Rüdiger L. Urbanke:
Polar codes: Robustness of the successive cancellation decoder with respect to quantization. ISIT 2012: 1962-1966 - [i11]Ali Goli, Seyed Hamed Hassani, Rüdiger L. Urbanke:
Universal Bounds on the Scaling Behavior of Polar Codes. CoRR abs/1205.2876 (2012) - [i10]Ramtin Pedarsani, Seyed Hamed Hassani, Ido Tal, Emre Telatar:
On the Construction of Polar Codes. CoRR abs/1209.4444 (2012) - [i9]Seyed Hamed Hassani, Rüdiger L. Urbanke:
Polar Codes: Robustness of the Successive Cancellation Decoder with Respect to Quantization. CoRR abs/1209.4612 (2012) - 2011
- [c8]Ramtin Pedarsani, Seyed Hamed Hassani, Ido Tal, Emre Telatar:
On the construction of polar codes. ISIT 2011: 11-15 - [c7]Seyed Hamed Hassani, Nicolas Macris, Ryuhei Mori:
Near concavity of the growth rate for coupled LDPC chains. ISIT 2011: 356-360 - [i8]Seyed Hamed Hassani, Nicolas Macris, Ryuhei Mori:
Near concavity of the growth rate for coupled LDPC chains. CoRR abs/1104.0599 (2011) - [i7]Seyed Hamed Hassani, Nicolas Macris, Rüdiger L. Urbanke:
Coupled Graphical Models and Their Thresholds. CoRR abs/1105.0785 (2011) - [i6]Seyed Hamed Hassani, Nicolas Macris, Rüdiger L. Urbanke:
Chains of Mean Field Models. CoRR abs/1105.0807 (2011) - [i5]Seyed Hamed Hassani, Ryuhei Mori, Toshiyuki Tanaka, Rüdiger L. Urbanke:
Rate-Dependent Analysis of the Asymptotic Behavior of Channel Polarization. CoRR abs/1110.0194 (2011) - [i4]Seyed Hamed Hassani, Nicolas Macris, Rüdiger L. Urbanke:
Threshold Saturation in Spatially Coupled Constraint Satisfaction Problems. CoRR abs/1112.6320 (2011) - 2010
- [c6]Seyed Hamed Hassani, Rüdiger L. Urbanke:
On the scaling of polar codes: I. The behavior of polarized channels. ISIT 2010: 874-878 - [c5]Seyed Hamed Hassani, Kasra Alishahi, Rüdiger L. Urbanke:
On the scaling of polar codes: II. The behavior of un-polarized channels. ISIT 2010: 879-883 - [c4]S. Hamed Hassani, Nicolas Macris, Rüdiger L. Urbanke:
Coupled graphical models and their thresholds. ITW 2010: 1-5 - [i3]Seyed Hamed Hassani, Rüdiger L. Urbanke:
On the scaling of Polar codes: I. The behavior of polarized channels. CoRR abs/1001.2766 (2010) - [i2]Seyed Hamed Hassani, Kasra Alishahi, Rüdiger L. Urbanke:
On the scaling of Polar Codes: II. The behavior of un-polarized channels. CoRR abs/1002.3187 (2010)
2000 – 2009
- 2009
- [c3]S. Hamed Hassani, Satish Babu Korada, Rüdiger L. Urbanke:
The compound capacity of polar codes. Allerton 2009: 16-21 - [i1]Seyed Hamed Hassani, Satish Babu Korada, Rüdiger L. Urbanke:
The Compound Capacity of Polar Codes. CoRR abs/0907.3291 (2009) - 2007
- [c2]Seyed Hamed Hassani, Farid Ashtiani, Pouya Tehrani:
Non-Saturation Mode Analysis of IEEE 802.11 MAC Protocol. PIMRC 2007: 1-5 - 2006
- [c1]Seyed Hamed Hassani, Mohammad Reza Aref:
A New (t, n) Multi-Secret Sharing Scheme Based on Linear Algebra. SECRYPT 2006: 443-449
Coauthor Index
[j30] [j29] [c106] [c103] [c101] [i130] [i129] [i127] [i126] [i124] [i121] [i118] [i116] [c91] [c90] [i115] [i113] [i109] [i103] [i101] [i99] [c87] [c85] [c80] [c79] [c74] [c72] [i96] [i92] [i89] [i87] [i85] [i80] [i79] [i78] [j19] [c71] [c70] [c68] [c67] [c66] [c65] [c64] [i76] [i74] [i70] [i68] [i63] [i61] [c51] [c46] [i52] [i49] [i47] [i37]
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2024-11-26 21:43 CET by the dblp team
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