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2020 – today
- 2024
[j5]Daniel LeJeune, Pratik Patil, Hamid Javadi, Richard G. Baraniuk, Ryan J. Tibshirani:
Asymptotics of the Sketched Pseudoinverse. SIAM J. Math. Data Sci. 6(1): 199-225 (2024)- 2023
- [j4]Majid Yavari
, Ahmad Salemnia, Hamid Javadi:
A new step-up DC-DC converter with high gain for photovoltaic applications. Int. J. Circuit Theory Appl. 51(2): 702-727 (2023) - [c8]Jasper Tan, Daniel LeJeune, Blake Mason, Hamid Javadi, Richard G. Baraniuk:
A Blessing of Dimensionality in Membership Inference through Regularization. AISTATS 2023: 10968-10993 - 2022
- [j3]Meraj Noroozi, Farhad Haghjoo, Hamid Javadi, Mohammad Reza Zolghadri:
A simplified implementation of NLSPWM control strategy for SqZS inverter via model-driven processor programming method. Int. J. Circuit Theory Appl. 50(8): 2687-2708 (2022) - [c7]Jasper Tan, Blake Mason, Hamid Javadi, Richard G. Baraniuk:
Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference. NeurIPS 2022 - [i9]Jasper Tan, Blake Mason, Hamid Javadi, Richard G. Baraniuk:
Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference. CoRR abs/2202.01243 (2022) - [i8]Jasper Tan, Daniel LeJeune, Blake Mason, Hamid Javadi, Richard G. Baraniuk:
Benign Overparameterization in Membership Inference with Early Stopping. CoRR abs/2205.14055 (2022) - [i7]Daniel LeJeune, Pratik Patil, Hamid Javadi, Richard G. Baraniuk, Ryan J. Tibshirani:
Asymptotics of the Sketched Pseudoinverse. CoRR abs/2211.03751 (2022) - 2021
- [c6]Tianyi Yao, Daniel LeJeune, Hamid Javadi, Richard G. Baraniuk, Genevera I. Allen:
Minipatch Learning as Implicit Ridge-Like Regularization. BigComp 2021: 65-68 - [c5]Daniel LeJeune, Hamid Javadi, Richard G. Baraniuk:
The Flip Side of the Reweighted Coin: Duality of Adaptive Dropout and Regularization. NeurIPS 2021: 23401-23412 - [i6]Daniel LeJeune, Hamid Javadi, Richard G. Baraniuk:
The Flip Side of the Reweighted Coin: Duality of Adaptive Dropout and Regularization. CoRR abs/2106.07769 (2021) - 2020
- [j2]Frank Maiwald, Oliver Montes, Sharmila Padmanabhan, Amy Wu, Zachary Pannell, Violet Torossian, Alireza Bakhshi, Damon Russell, Jordan M. Tanabe, Hamid Javadi, Chris Holman, Maurice Aghion, Richard Redick, Amarit Kitiyakara, Shannon T. Brown:
RF and Electronics Design of the Compact Ocean Wind Vector Radiometer. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 3816-3823 (2020) - [c4]Daniel LeJeune, Hamid Javadi, Richard G. Baraniuk:
The Implicit Regularization of Ordinary Least Squares Ensembles. AISTATS 2020: 3525-3535
2010 – 2019
- 2019
- [c3]Behrooz Ghorbani, Hamid Javadi, Andrea Montanari:
An Instability in Variational Inference for Topic Models. ICML 2019: 2221-2231 - [i5]Hamid Javadi, Randall Balestriero, Richard G. Baraniuk:
A Hessian Based Complexity Measure for Deep Networks. CoRR abs/1905.11639 (2019) - [i4]Daniel LeJeune, Hamid Javadi, Richard G. Baraniuk:
The Implicit Regularization of Ordinary Least Squares Ensembles. CoRR abs/1910.04743 (2019) - 2018
- [j1]Hamid Javadi, Andrea Montanari:
A Statistical Model for Motifs Detection. IEEE Trans. Inf. Theory 64(12): 7594-7612 (2018) - [c2]Soheil Feizi, Hamid Javadi, Jesse M. Zhang, David Tse:
Porcupine Neural Networks: Approximating Neural Network Landscapes. NeurIPS 2018: 4836-4846 - [i3]Adel Javanmard, Hamid Javadi:
False Discovery Rate Control via Debiased Lasso. CoRR abs/1803.04464 (2018) - 2017
- [c1]Soheil Feizi, Hamid Javadi, David Tse:
Tensor Biclustering. NIPS 2017: 1311-1320 - [i2]Hamid Javadi, Andrea Montanari:
Non-negative Matrix Factorization via Archetypal Analysis. CoRR abs/1705.02994 (2017) - [i1]Soheil Feizi, Hamid Javadi, Jesse M. Zhang, David Tse:
Porcupine Neural Networks: (Almost) All Local Optima are Global. CoRR abs/1710.02196 (2017)
Coauthor Index
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