Ashwin Pananjady
Title
Cited by
Cited by
Year
Derivative-free methods for policy optimization: Guarantees for linear quadratic systems
D Malik, A Pananjady, K Bhatia, K Khamaru, P Bartlett, M Wainwright
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
1122019
Linear regression with shuffled data: Statistical and computational limits of permutation recovery
A Pananjady, MJ Wainwright, TA Courtade
IEEE Transactions on Information Theory 64 (5), 3286-3300, 2017
95*2017
Gradient diversity: a key ingredient for scalable distributed learning
D Yin, A Pananjady, M Lam, D Papailiopoulos, K Ramchandran, P Bartlett
Proceedings of the 21th International Conference on Artificial Intelligence …, 2017
86*2017
Denoising linear models with permuted data
A Pananjady, MJ Wainwright, TA Courtade
2017 IEEE International Symposium on Information Theory (ISIT), 446-450, 2017
752017
Existence of Stein kernels under a spectral gap, and discrepancy bounds
TA Courtade, M Fathi, A Pananjady
Annales de l'Institut Henri Poincaré, Probabilités et Statistiques 55 (2 …, 2019
502019
Optimally approximating the coverage lifetime of wireless sensor networks
A Pananjady, VK Bagaria, R Vaze
IEEE/ACM Transactions on Networking 25 (1), 98-111, 2016
47*2016
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
31*2020
Instance-Dependent ℓ-Bounds for Policy Evaluation in Tabular Reinforcement Learning
A Pananjady, MJ Wainwright
IEEE Transactions on Information Theory 67 (1), 566-585, 2020
28*2020
Max-affine regression: Provable, tractable, and near-optimal statistical estimation
A Ghosh, A Pananjady, A Guntuboyina, K Ramchandran
arXiv preprint arXiv:1906.09255, 2019
172019
Quantitative Stability of the Entropy Power Inequality
TA Courtade, M Fathi, A Pananjady
IEEE Transactions on Information Theory 64 (8), 5691-5703, 2018
172018
Is temporal difference learning optimal? an instance-dependent analysis
K Khamaru, A Pananjady, F Ruan, MJ Wainwright, MI Jordan
SIAM Journal on Mathematics of Data Science 3 (4), 1013-1040, 2021
162021
The Effect of Local Decodability Constraints on Variable-Length Compression
A Pananjady, TA Courtade
IEEE Transactions on Information Theory 64 (4), 2593-2608, 2018
15*2018
Wasserstein stability of the entropy power inequality for log-concave random vectors
TA Courtade, M Fathi, A Pananjady
2017 IEEE International Symposium on Information Theory (ISIT), 659-663, 2017
14*2017
Towards optimal estimation of bivariate isotonic matrices with unknown permutations
C Mao, A Pananjady, MJ Wainwright
The Annals of Statistics 48 (6), 3183-3205, 2020
132020
Breaking the Barrier: Faster Rates for Permutation-based Models in Polynomial Time
C Mao, A Pananjady, MJ Wainwright
arXiv preprint arXiv:1802.09963, 2018
122018
Isotonic regression with unknown permutations: Statistics, computation, and adaptation
A Pananjady, RJ Samworth
arXiv preprint arXiv:2009.02609, 2020
102020
The online disjoint set cover problem and its applications
A Pananjady, VK Bagaria, R Vaze
2015 IEEE Conference on Computer Communications (INFOCOM), 1221-1229, 2015
92015
A family of Bayesian Cramér-Rao bounds, and consequences for log-concave priors
E Aras, KY Lee, A Pananjady, TA Courtade
2019 IEEE International Symposium on Information Theory (ISIT), 2699-2703, 2019
82019
Single-Index Models in the High Signal Regime
A Pananjady, DP Foster
IEEE Transactions on Information Theory 67 (6), 4092-4124, 2021
52021
Max-affine regression with universal parameter estimation for small-ball designs
A Ghosh, A Pananjady, A Guntuboyina, K Ramchandran
2020 IEEE International Symposium on Information Theory (ISIT), 2706-2710, 2020
52020
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Articles 1–20