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Vignesh Subramanian
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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
2342020
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
1472021
Generalization for multiclass classification with overparameterized linear models
V Subramanian, R Arya, A Sahai
Advances in Neural Information Processing Systems 35, 23479-23494, 2022
92022
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
62018
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
42020
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
42020
Learning to communicate in a noisy environment
A Sahai, J Sanz, V Subramanian, C Tran, K Vodrahalli
arXiv preprint arXiv:1910.09630, 2019
42019
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
32019
When Do Machine Learning Models Generalize Well?: A Signal-Processing Perspective
V Subramanian
University of California, Berkeley, 2022
12022
Effect of Model Dissimilarity on Learning to Communicate in a Wireless Setting with Limited Information
C Tran, V Subramanian, K Vodrahalli, A Sahai
2019
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Articles 1–10