Khamaru, Koulik

10 publications

JMLR 2025 Instability, Computational Efficiency and Statistical Accuracy Nhat Ho, Koulik Khamaru, Raaz Dwivedi, Martin J. Wainwright, Michael I. Jordan, Bin Yu

NeurIPS 2023 Adaptive Linear Estimating Equations Mufang Ying, Koulik Khamaru, Cun-Hui Zhang

JMLR 2023 Instance-Dependent Confidence and Early Stopping for Reinforcement Learning Eric Xia, Koulik Khamaru, Martin J. Wainwright, Michael I. Jordan

NeurIPS 2023 Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference Licong Lin, Mufang Ying, Suvrojit Ghosh, Koulik Khamaru, Cun-Hui Zhang

JMLR 2020 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

AISTATS 2020 Sharp Analysis of Expectation-Maximization for Weakly Identifiable Models Raaz Dwivedi, Nhat Ho, Koulik Khamaru, Martin Wainwright, Michael Jordan, Bin Yu

JMLR 2019 Convergence Guarantees for a Class of Non-Convex and Non-Smooth Optimization Problems Koulik Khamaru, Martin J. Wainwright

AISTATS 2019 Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems Dhruv Malik, Ashwin Pananjady, Kush Bhatia, Koulik Khamaru, Peter Bartlett, Martin Wainwright

ICML 2018 Convergence Guarantees for a Class of Non-Convex and Non-Smooth Optimization Problems Koulik Khamaru, Martin Wainwright

NeurIPS 2018 Theoretical Guarantees for EM Under Misspecified Gaussian Mixture Models Raaz Dwivedi, Nhật Hồ, Koulik Khamaru, Martin J. Wainwright, Michael I Jordan