Vidya Muthukumar
Vidya Muthukumar
Graduate Student, UC Berkeley
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Harmless interpolation of noisy data in regression
V Muthukumar, K Vodrahalli, V Subramanian, A Sahai
IEEE Journal on Selected Areas in Information Theory, 2020
302020
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
142017
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
82018
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
82015
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
62020
Color-theoretic experiments to understand unequal gender classification accuracy from face images
V Muthukumar
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
42019
Fundamental Limits onEx-Post Enforcement and Implications for Spectrum Rights
V Muthukumar, A Sahai
IEEE Transactions on Cognitive Communications and Networking 3 (3), 491-504, 2017
42017
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
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
22015
Appendices for “Whitespaces after the USA’s TV incentive auction: a spectrum reallocation case study”
K Harrison, V Muthukumar, V Kamble, A Daruna, A Sahai
Tech. Rep., 2015
22015
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
22014
Classification vs regression in overparameterized regimes: Does the loss function matter?
V Muthukumar, A Narang, V Subramanian, M Belkin, D Hsu, A Sahai
arXiv preprint arXiv:2005.08054, 2020
12020
Worst-case versus average-case design for estimation from partial pairwise comparisons
A Pananjady, C Mao, V Muthukumar, MJ Wainwright, TA Courtade
Annals of Statistics 48 (2), 1072-1097, 2020
12020
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
12017
Robust Commitments and Partial Reputation
V Muthukumar, A Sahai
Proceedings of the 2019 ACM Conference on Economics and Computation, 637-638, 2019
2019
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
2019
WORST-CASE VS AVERAGE-CASE DESIGN FOR ESTIMATION FROM PARTIAL PAIRWISE COMPARISONS
A Pananjady, C Mao, V Muthukumar, MJ Wainwright, TA Courtade
arXiv preprint arXiv:1707.06217, 2017
2017
and partial reputation
V Muthukumar, A Sahai
Robust commitments and the power of partial reputation
V Muthukumar, A Sahai
Quantifying spectrum availability and utility: a tutorial on Whitespace Evaluation SofTware (WEST)
K Harrison, V Muthukumar, A Sahai
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Articles 1–20