| Harmless interpolation of noisy data in regression V Muthukumar, K Vodrahalli, V Subramanian, A Sahai IEEE Journal on Selected Areas in Information Theory 1 (1), 67-83, 2020 | 235 | 2020 |
| Classification vs regression in overparameterized regimes: Does the loss function matter? V Muthukumar, A Narang, V Subramanian, M Belkin, D Hsu, A Sahai Journal of Machine Learning Research 22 (222), 1-69, 2021 | 148 | 2021 |
| Generalization for multiclass classification with overparameterized linear models V Subramanian, R Arya, A Sahai Advances in Neural Information Processing Systems 35, 23479-23494, 2022 | 9 | 2022 |
| Some new numeric results concerning the Witsenhausen counterexample V Subramanian, L Brink, N Jain, K Vodrahalli, A Jalan, N Shinde, A Sahai 2018 56th Annual Allerton Conference on Communication, Control, and …, 2018 | 6 | 2018 |
| Learning a neural-network controller for a multiplicative observation noise system V Subramanian, M Won, G Ranade 2020 IEEE International Symposium on Information Theory (ISIT), 2849-2854, 2020 | 4 | 2020 |
| Blind interactive learning of modulation schemes: Multi-agent cooperation without co-design A Sahai, J Sanz, V Subramanian, C Tran, K Vodrahalli IEEE Access 8, 63790-63820, 2020 | 4 | 2020 |
| Learning to communicate in a noisy environment A Sahai, J Sanz, V Subramanian, C Tran, K Vodrahalli arXiv preprint arXiv:1910.09630, 2019 | 4 | 2019 |
| Learning to communicate with limited co-design A Sahai, J Sanz, V Subramanian, C Tran, K Vodrahalli 2019 57th Annual Allerton Conference on Communication, Control, and …, 2019 | 3 | 2019 |
| When Do Machine Learning Models Generalize Well?: A Signal-Processing Perspective V Subramanian University of California, Berkeley, 2022 | 1 | 2022 |
| Effect of Model Dissimilarity on Learning to Communicate in a Wireless Setting with Limited Information C Tran, V Subramanian, K Vodrahalli, A Sahai | | 2019 |
Anant SAHAIEECS, University of California, BerkeleyVerified email at eecs.berkeley.edu
