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Koulik Khamaru
Koulik Khamaru
Assistant Professor, Department Of Statistics, Rutgers.
Geverifieerd e-mailadres voor berkeley.edu - Homepage
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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
2042019
Convergence guarantees for a class of non-convex and non-smooth optimization problems
K Khamaru, MJ Wainwright
Journal of Machine Learning Research 20 (154), 1-52, 2019
732019
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
632018
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
592021
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
242020
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
212021
A peak synchronization measure for multiple signals
R Biswas, K Khamaru, KK Majumdar
IEEE Transactions on Signal Processing 62 (17), 4390-4398, 2014
192014
Computation of the maximum likelihood estimator in low-rank factor analysis
K Khamaru, R Mazumder
Mathematical Programming 176, 279-310, 2019
182019
Near-optimal inference in adaptive linear regression
K Khamaru, Y Deshpande, T Lattimore, L Mackey, MJ Wainwright
arXiv preprint arXiv:2107.02266, 2021
172021
Instability, computational efficiency and statistical accuracy
N Ho, K Khamaru, R Dwivedi, MJ Wainwright, MI Jordan, B Yu
arXiv preprint arXiv:2005.11411, 2020
142020
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
132018
Optimal variance-reduced stochastic approximation in banach spaces
W Mou, K Khamaru, MJ Wainwright, PL Bartlett, MI Jordan
arXiv preprint arXiv:2201.08518, 2022
92022
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
82019
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
42023
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
Informativeness of Weighted Conformal Prediction
M Ying, W Guo, K Khamaru, Y Hung
arXiv preprint arXiv:2405.06479, 2024
12024
Adaptive linear estimating equations
M Ying, K Khamaru, CH Zhang
Advances in Neural Information Processing Systems 36, 2024
12024
Instance-optimality in optimal value estimation: Adaptivity via variance-reduced Q-learning
E Xia, K Khamaru, MJ Wainwright, MI Jordan
IEEE Transactions on Information Theory, 2024
2024
Stochastic Optimization with Constraints: A Non-asymptotic Instance-Dependent Analysis
K Khamaru
arXiv preprint arXiv:2404.00042, 2024
2024
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Artikelen 1–20