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Koulik Khamaru
Koulik Khamaru
Assistant Professor, Department Of Statistics, Rutgers.
Verified email at berkeley.edu - Homepage
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
1962019
Convergence Guarantees for a Class of Non-convex and Non-smooth Optimization Problems.
K Khamaru, MJ Wainwright
J. Mach. Learn. Res. 20 (154), 1-52, 2019
692019
Singularity, Misspecification, and the Convergence Rate of EM
R Dwivedi*, N Ho*, K Khamaru*, MI Jordan, MJ Wainwright, B Yu
arXiv preprint arXiv:1810.00828, 2018
592018
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
502021
Sharp analysis of expectation-maximization for weakly identifiable models
R Dwivedi, N Ho, K Khamaru, M Wainwright, M Jordan, B Yu
International Conference on Artificial Intelligence and Statistics, 1866-1876, 2020
212020
A peak synchronization measure for multiple signals
R Biswas, K Khamaru, KK Majumdar
IEEE Transactions on Signal Processing 62 (17), 4390-4398, 2014
192014
Instance-optimality in optimal value estimation: Adaptivity via variance-reduced Q-learning
K Khamaru, E Xia, MJ Wainwright, MI Jordan
arXiv preprint arXiv:2106.14352, 2021
182021
Computation of the maximum likelihood estimator in low-rank factor analysis
K Khamaru, R Mazumder
Mathematical Programming 176, 279-310, 2019
172019
Near-optimal inference in adaptive linear regression
K Khamaru, Y Deshpande, T Lattimore, L Mackey, MJ Wainwright
arXiv preprint arXiv:2107.02266, 2021
152021
Theoretical guarantees for EM under misspecified Gaussian mixture models
R Dwivedi*, N Ho*, K Khamaru*, MJ Wainwright, ...
Advances in Neural Information Processing Systems, 9704-9712, 2018
152018
Instability, computational efficiency and statistical accuracy
N Ho, K Khamaru, R Dwivedi, MJ Wainwright, MI Jordan, B Yu
arXiv preprint arXiv:2005.11411, 2020
132020
Challenges with EM in application to weakly identifiable mixture models
R Dwivedi*, N Ho*, K Khamaru*, MJ Wainwright, MI Jordan, B Yu
arXiv preprint arXiv:1902.00194, 2019
92019
Optimal variance-reduced stochastic approximation in Banach spaces
W Mou, K Khamaru, MJ Wainwright, PL Bartlett, MI Jordan
arXiv preprint arXiv:2201.08518, 2022
62022
Instance-dependent confidence and early stopping for reinforcement learning
E Xia, K Khamaru, MJ Wainwright, MI Jordan
Journal of Machine Learning Research 24 (392), 1-43, 2023
32023
Instance-dependent confidence and early stopping for reinforcement learning
K Khamaru, E Xia, MJ Wainwright, MI Jordan
arXiv preprint arXiv:2201.08536, 2022
32022
Semi-parametric inference based on adaptively collected data
L Lin, K Khamaru, MJ Wainwright
arXiv preprint arXiv:2303.02534, 2023
22023
Adaptive linear estimating equations
M Ying, K Khamaru, CH Zhang
Advances in Neural Information Processing Systems 36, 2024
12024
Theoretical guarantees for the EM algorithm when applied to mis-specified gaussian mixture models
R Dwivedi, N Ho, K Khamaru, MJ Wainwright, MI Jordan
Proceedings of the 32nd international conference on neural information …, 2018
12018
Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference
L Lin, M Ying, S Ghosh, K Khamaru, CH Zhang
Advances in Neural Information Processing Systems 36, 2024
2024
Guarantees for a few structured statistical problems
K Khamaru
UC Berkeley, 2022
2022
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