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Vidya Muthukumar
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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
1542020
Classification vs regression in overparameterized regimes: Does the loss function matter?
V Muthukumar, A Narang, V Subramanian, M Belkin, D Hsu, A Sahai
The Journal of Machine Learning Research 22 (1), 10104-10172, 2021
752021
Understanding unequal gender classification accuracy from face images
V Muthukumar, T Pedapati, N Ratha, P Sattigeri, CW Wu, B Kingsbury, ...
arXiv preprint arXiv:1812.00099, 2018
412018
Osom: A simultaneously optimal algorithm for multi-armed and linear contextual bandits
N Chatterji, V Muthukumar, P Bartlett
International Conference on Artificial Intelligence and Statistics, 1844-1854, 2020
322020
A farewell to the bias-variance tradeoff? an overview of the theory of overparameterized machine learning
Y Dar, V Muthukumar, RG Baraniuk
arXiv preprint arXiv:2109.02355, 2021
282021
On the proliferation of support vectors in high dimensions
D Hsu, V Muthukumar, J Xu
International Conference on Artificial Intelligence and Statistics, 91-99, 2021
212021
Online model selection for reinforcement learning with function approximation
J Lee, A Pacchiano, V Muthukumar, W Kong, E Brunskill
International Conference on Artificial Intelligence and Statistics, 3340-3348, 2021
202021
Worst-case vs average-case design for estimation from fixed pairwise comparisons
A Pananjady, C Mao, V Muthukumar, MJ Wainwright, TA Courtade
arXiv preprint arXiv:1707.06217, 2017
192017
Worst-case versus average-case design for estimation from partial pairwise comparisons
A Pananjady, C Mao, V Muthukumar, MJ Wainwright, TA Courtade
The Annals of Statistics 48 (2), 1072-1097, 2020
172020
Color-theoretic experiments to understand unequal gender classification accuracy from face images
V Muthukumar
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
172019
Benign overfitting in multiclass classification: All roads lead to interpolation
K Wang, V Muthukumar, C Thrampoulidis
Advances in Neural Information Processing Systems 34, 24164-24179, 2021
122021
Whitespaces after the USA's TV incentive auction: A spectrum reallocation case study
V Muthukumar, A Daruna, V Kamble, K Harrison, A Sahai
2015 IEEE International Conference on Communications (ICC), 7582-7588, 2015
102015
Best of many worlds: Robust model selection for online supervised learning
V Muthukumar, M Ray, A Sahai, P Bartlett
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
72019
Fundamental Limits on Ex-Post Enforcement and Implications for Spectrum Rights
V Muthukumar, A Sahai
IEEE Transactions on Cognitive Communications and Networking 3 (3), 491-504, 2017
52017
Whitespace evaluation software (WEST) and its applications to whitespace in Canada and Australia
K Harrison, V Muthukumar, A Sahai
2015 IEEE International Symposium on Dynamic Spectrum Access Networks …, 2015
52015
Commitment in regulatory spectrum games: Examining the first-player advantage
V Muthukumar, A Sahai
2017 IEEE International Symposium on Information Theory (ISIT), 2498-2502, 2017
42017
The Complexity of Infinite-Horizon General-Sum Stochastic Games
Y Jin, V Muthukumar, A Sidford
arXiv preprint arXiv:2204.04186, 2022
32022
Frames from generalized group fourier transforms and SL2(Fq)
M Thill, V Muthukumar, B Hassibi
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
32014
Harmless interpolation in regression and classification with structured features
AD McRae, S Karnik, M Davenport, VK Muthukumar
International Conference on Artificial Intelligence and Statistics, 5853-5875, 2022
22022
Supplement to “Worst-case versus Average-case Design for Estimation from Partial Pairwise Comparisons.”
A Pananjady, C Mao, V Muthukumar, MJ Wainwright, TA Courtade
22020
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