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Ashwin Pananjady
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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
2062019
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
1542017
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
148*2017
Denoising linear models with permuted data
A Pananjady, MJ Wainwright, TA Courtade
2017 IEEE International Symposium on Information Theory (ISIT), 446-450, 2017
972017
Existence of Stein kernels under a spectral gap, and discrepancy bounds
TA Courtade, M Fathi, A Pananjady
732019
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
69*2020
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
612021
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
58*2016
Max-affine regression: Parameter estimation for Gaussian designs
A Ghosh, A Pananjady, A Guntuboyina, K Ramchandran
IEEE Transactions on Information Theory 68 (3), 1851-1885, 2021
42*2021
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
42*2020
Isotonic regression with unknown permutations: Statistics, computation and adaptation
A Pananjady, RJ Samworth
The Annals of Statistics 50 (1), 324-350, 2022
322022
Quantitative Stability of the Entropy Power Inequality
TA Courtade, M Fathi, A Pananjady
IEEE Transactions on Information Theory 64 (8), 5691-5703, 2018
312018
Optimal and instance-dependent guarantees for Markovian linear stochastic approximation
W Mou, A Pananjady, MJ Wainwright, PL Bartlett
Mathematical Statistics and Learning 7 (1), 41-153, 2024
242024
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
242020
Optimal oracle inequalities for projected fixed-point equations, with applications to policy evaluation
W Mou, A Pananjady, MJ Wainwright
Mathematics of Operations Research 48 (4), 2308-2336, 2023
23*2023
Sharp global convergence guarantees for iterative nonconvex optimization with random data
KA Chandrasekher, A Pananjady, C Thrampoulidis
The Annals of Statistics 51 (1), 179-210, 2023
23*2023
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
232019
The Effect of Local Decodability Constraints on Variable-Length Compression
A Pananjady, TA Courtade
IEEE Transactions on Information Theory 64 (4), 2593-2608, 2018
20*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
17*2017
Accelerated and instance-optimal policy evaluation with linear function approximation
T Li, G Lan, A Pananjady
SIAM Journal on Mathematics of Data Science 5 (1), 174-200, 2023
162023
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Articles 1–20