| 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 | 198 | 2020 |
| 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 | 115 | 2021 |
| 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 | 49 | 2018 |
| 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 | 45 | 2021 |
| 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 | 38 | 2020 |
| 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 | 30 | 2021 |
| 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 | 28 | 2021 |
| 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 | 27 | 2021 |
| 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 | 24 | 2019 |
| Worst-case versus average-case design for estimation from partial pairwise comparisons A Pananjady, C Mao, V Muthukumar, MJ Wainwright, TA Courtade | 19 | 2020 |
| 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 | 19 | 2017 |
| 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 | 11 | 2015 |
| The complexity of infinite-horizon general-sum stochastic games Y Jin, V Muthukumar, A Sidford arXiv preprint arXiv:2204.04186, 2022 | 10 | 2022 |
| 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 | 9 | 2022 |
| 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 | 7 | 2019 |
| 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 | 5 | 2017 |
| 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 | 5 | 2015 |
| Appendices for K Harrison, V Muthukumar, V Kamble, A Daruna, A Sahai Whitespaces after the USA’s TV incentive auction: a spectrum reallocation …, 2015 | 5 | 2015 |
| 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 | 4 | 2017 |
| Learning from an exploring demonstrator: Optimal reward estimation for bandits W Guo, KK Agrawal, A Grover, V Muthukumar, A Pananjady arXiv preprint arXiv:2106.14866, 2021 | 3 | 2021 |
Anant SAHAIEECS, University of California, BerkeleyVerifierad e-postadress på eecs.berkeley.edu
