Koulik Khamaru

According to our database, Koulik Khamaru authored at least 25 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Instance-Optimality in Optimal Value Estimation: Adaptivity via Variance-Reduced Q-Learning.

Eric Xia, Koulik Khamaru, Martin J. Wainwright, Michael I. Jordan

IEEE Trans. Inf. Theory, July, 2026

PICS: A Sequential Approach to Obtain Optimal Designs for Nonlinear Models Leveraging Closed-Form Solutions for Faster Convergence.

Suvrojit Ghosh, Koulik Khamaru, Tirthankar Dasgupta

Technometrics, April, 2026

Stability and Robustness via Regularization: Bandit Inference via Regularized Stochastic Mirror Descent.

Budhaditya Halder, Ishan Sengupta, Koustav Chowdhury, Koulik Khamaru

CoRR, March, 2026

Efficient Inference after Directionally Stable Adaptive Experiments.

Zikai Shen, Houssam Zenati, Nathan Kallus, Arthur Gretton, Koulik Khamaru, Aurélien Bibaut

CoRR, February, 2026

2025

Avoiding the Price of Adaptivity: Inference in Linear Contextual Bandits via Stability.

Samya Praharaj, Koulik Khamaru

CoRR, December, 2025

On Instability of Minimax Optimal Optimism-Based Bandit Algorithms.

Samya Praharaj, Koulik Khamaru

CoRR, November, 2025

Stable Thompson Sampling: Valid Inference via Variance Inflation.

Budhaditya Halder, Shubhayan Pan, Koulik Khamaru

CoRR, May, 2025

Instability, Computational Efficiency and Statistical Accuracy.

Nhat Ho, Koulik Khamaru, Raaz Dwivedi, Martin J. Wainwright, Michael I. Jordan, Bin Yu

J. Mach. Learn. Res., 2025

2024

UCB algorithms for multi-armed bandits: Precise regret and adaptive inference.

Qiyang Han, Koulik Khamaru, Cun-Hui Zhang

CoRR, 2024

Inference with the Upper Confidence Bound Algorithm.

Koulik Khamaru, Cun-Hui Zhang

CoRR, 2024

Stochastic Optimization with Constraints: A Non-asymptotic Instance-Dependent Analysis.

Koulik Khamaru

CoRR, 2024

2023

Instance-Dependent Confidence and Early Stopping for Reinforcement Learning.

Eric Xia, Koulik Khamaru, Martin J. Wainwright, Michael I. Jordan

J. Mach. Learn. Res., 2023

Semi-parametric inference based on adaptively collected data.

Licong Lin, Koulik Khamaru, Martin J. Wainwright

CoRR, 2023

Adaptive Linear Estimating Equations.

Mufang Ying, Koulik Khamaru, Cun-Hui Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference.

Licong Lin, Mufang Ying, Suvrojit Ghosh, Koulik Khamaru, Cun-Hui Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Optimal variance-reduced stochastic approximation in Banach spaces.

Wenlong Mou, Koulik Khamaru, Martin J. Wainwright, Peter L. Bartlett, Michael I. Jordan

CoRR, 2022

2021

Is Temporal Difference Learning Optimal? An Instance-Dependent Analysis.

Koulik Khamaru, Ashwin Pananjady, Feng Ruan, Martin J. Wainwright, Michael I. Jordan

SIAM J. Math. Data Sci., 2021

Near-optimal inference in adaptive linear regression.

Koulik Khamaru, Yash Deshpande, Lester Mackey, Martin J. Wainwright

CoRR, 2021

2020

Sharp Analysis of Expectation-Maximization for Weakly Identifiable Models.

Raaz Dwivedi, Nhat Ho, Koulik Khamaru, Martin J. Wainwright, Michael I. Jordan, Bin Yu

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Computation of the maximum likelihood estimator in low-rank factor analysis.

Koulik Khamaru, Rahul Mazumder

Math. Program., 2019

Challenges with EM in application to weakly identifiable mixture models.

Raaz Dwivedi, Nhat Ho, Koulik Khamaru, Martin J. Wainwright, Michael I. Jordan, Bin Yu

CoRR, 2019

Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems.

Dhruv Malik, Ashwin Pananjady, Kush Bhatia, Koulik Khamaru, Peter L. Bartlett, Martin J. Wainwright

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Theoretical guarantees for EM under misspecified Gaussian mixture models.

Raaz Dwivedi, Nhat Ho, Koulik Khamaru, Martin J. Wainwright, Michael I. Jordan

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Convergence guarantees for a class of non-convex and non-smooth optimization problems.

Koulik Khamaru, Martin J. Wainwright

Proceedings of the 35th International Conference on Machine Learning, 2018

2014

A Peak Synchronization Measure for Multiple Signals.

Rahul Biswas, Koulik Khamaru, Kaushik Kumar Majumdar

IEEE Trans. Signal Process., 2014