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Koulik Khamaru
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2020 – today
- 2024
- [i14]Koulik Khamaru:
Stochastic Optimization with Constraints: A Non-asymptotic Instance-Dependent Analysis. CoRR abs/2404.00042 (2024) - [i13]Koulik Khamaru, Cun-Hui Zhang:
Inference with the Upper Confidence Bound Algorithm. CoRR abs/2408.04595 (2024) - 2023
- [j6]Eric Xia, Koulik Khamaru, Martin J. Wainwright, Michael I. Jordan:
Instance-Dependent Confidence and Early Stopping for Reinforcement Learning. J. Mach. Learn. Res. 24: 392:1-392:43 (2023) - [c6]Licong Lin, Mufang Ying, Suvrojit Ghosh, Koulik Khamaru, Cun-Hui Zhang:
Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference. NeurIPS 2023 - [c5]Mufang Ying, Koulik Khamaru, Cun-Hui Zhang:
Adaptive Linear Estimating Equations. NeurIPS 2023 - [i12]Licong Lin, Koulik Khamaru, Martin J. Wainwright:
Semi-parametric inference based on adaptively collected data. CoRR abs/2303.02534 (2023) - [i11]Mufang Ying, Koulik Khamaru, Cun-Hui Zhang:
Adaptive Linear Estimating Equations. CoRR abs/2307.07320 (2023) - [i10]Licong Lin, Mufang Ying, Suvrojit Ghosh, Koulik Khamaru, Cun-Hui Zhang:
Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference. CoRR abs/2310.00532 (2023) - 2022
- [i9]Wenlong Mou, Koulik Khamaru, Martin J. Wainwright, Peter L. Bartlett, Michael I. Jordan:
Optimal variance-reduced stochastic approximation in Banach spaces. CoRR abs/2201.08518 (2022) - [i8]Koulik Khamaru, Eric Xia, Martin J. Wainwright, Michael I. Jordan:
Instance-Dependent Confidence and Early Stopping for Reinforcement Learning. CoRR abs/2201.08536 (2022) - 2021
- [j5]Koulik Khamaru, Ashwin Pananjady, Feng Ruan, Martin J. Wainwright, Michael I. Jordan:
Is Temporal Difference Learning Optimal? An Instance-Dependent Analysis. SIAM J. Math. Data Sci. 3(4): 1013-1040 (2021) - [i7]Koulik Khamaru, Eric Xia, Martin J. Wainwright, Michael I. Jordan:
Instance-optimality in optimal value estimation: Adaptivity via variance-reduced Q-learning. CoRR abs/2106.14352 (2021) - [i6]Koulik Khamaru, Yash Deshpande, Lester Mackey, Martin J. Wainwright:
Near-optimal inference in adaptive linear regression. CoRR abs/2107.02266 (2021) - 2020
- [j4]Dhruv Malik, Ashwin Pananjady, Kush Bhatia, Koulik Khamaru, Peter L. Bartlett, Martin J. Wainwright:
Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems. J. Mach. Learn. Res. 21: 21:1-21:51 (2020) - [c4]Raaz Dwivedi, Nhat Ho, Koulik Khamaru, Martin J. Wainwright, Michael I. Jordan, Bin Yu:
Sharp Analysis of Expectation-Maximization for Weakly Identifiable Models. AISTATS 2020: 1866-1876 - [i5]Koulik Khamaru, Ashwin Pananjady, Feng Ruan, Martin J. Wainwright, Michael I. Jordan:
Is Temporal Difference Learning Optimal? An Instance-Dependent Analysis. CoRR abs/2003.07337 (2020) - [i4]Nhat Ho, Koulik Khamaru, Raaz Dwivedi, Martin J. Wainwright, Michael I. Jordan, Bin Yu:
Instability, Computational Efficiency and Statistical Accuracy. CoRR abs/2005.11411 (2020)
2010 – 2019
- 2019
- [j3]Koulik Khamaru, Martin J. Wainwright:
Convergence Guarantees for a Class of Non-convex and Non-smooth Optimization Problems. J. Mach. Learn. Res. 20: 154:1-154:52 (2019) - [j2]Koulik Khamaru, Rahul Mazumder:
Computation of the maximum likelihood estimator in low-rank factor analysis. Math. Program. 176(1-2): 279-310 (2019) - [c3]Dhruv Malik, Ashwin Pananjady, Kush Bhatia, Koulik Khamaru, Peter L. Bartlett, Martin J. Wainwright:
Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems. AISTATS 2019: 2916-2925 - [i3]Raaz Dwivedi, Nhat Ho, Koulik Khamaru, Martin J. Wainwright, Michael I. Jordan, Bin Yu:
Challenges with EM in application to weakly identifiable mixture models. CoRR abs/1902.00194 (2019) - 2018
- [c2]Koulik Khamaru, Martin J. Wainwright:
Convergence guarantees for a class of non-convex and non-smooth optimization problems. ICML 2018: 2606-2615 - [c1]Raaz Dwivedi, Nhat Ho, Koulik Khamaru, Martin J. Wainwright, Michael I. Jordan:
Theoretical guarantees for EM under misspecified Gaussian mixture models. NeurIPS 2018: 9704-9712 - [i2]Koulik Khamaru, Martin J. Wainwright:
Convergence guarantees for a class of non-convex and non-smooth optimization problems. CoRR abs/1804.09629 (2018) - [i1]Dhruv Malik, Ashwin Pananjady, Kush Bhatia, Koulik Khamaru, Peter L. Bartlett, Martin J. Wainwright:
Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems. CoRR abs/1812.08305 (2018) - 2014
- [j1]Rahul Biswas, Koulik Khamaru, Kaushik Kumar Majumdar:
A Peak Synchronization Measure for Multiple Signals. IEEE Trans. Signal Process. 62(17): 4390-4398 (2014)
Coauthor Index
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