Khamaru, Koulik
- Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems
2018/12/20 by Malik, Dhruv, Pananjady, Ashwin, Bhatia, Kush +3 · 5 citations
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
- Singularity, Misspecification, and the Convergence Rate of EM
2018/10/01 by Raaz Dwivedi, Dwivedi, Raaz, Nhat Ho +9 · 5 citations
Computer Science · Mathematics · #62G05 #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Primary 62F15 #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #Statistics Theory (math.ST) #secondary 62G20
- Sharp Analysis of Expectation-Maximization for Weakly Identifiable Models
2019/02/01 by Raaz Dwivedi, Dwivedi, Raaz, Nhat Ho +9 · 3 citations
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #Statistics Theory (math.ST)
- Is Temporal Difference Learning Optimal? An Instance-Dependent Analysis
2020/03/16 by Khamaru, Koulik, Pananjady, Ashwin, Ruan, Feng +2 · 2 citations
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
- Instance-optimality in optimal value estimation: Adaptivity via\n variance-reduced Q-learning
2021/06/27 by Koulik Khamaru, Khamaru, Koulik, Eric Xia +5 · 3 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
- Convergence guarantees for a class of non-convex and non-smooth optimization problems
2018/04/25 by Koulik Khamaru, Khamaru, Koulik, Martin J. Wainwright +1 · 2 citations
Engineering · Computer Science · Mathematics · #Sparse and Compressive Sensing Techniques #Machine Learning and Algorithms #Statistical Methods and Inference
- Near-optimal inference in adaptive linear regression
2021/07/05 by Khamaru, Koulik, Deshpande, Yash, Lattimore, Tor +2 · 2 citations
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
- Instance-Dependent Confidence and Early Stopping for Reinforcement Learning
2022/01/21 by Koulik Khamaru, Khamaru, Koulik, Eric Xia +5 · 1 citation
Business, Management and Accounting · Computer Science · Decision Sciences · #Auction Theory and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Supply Chain and Inventory Management
- Optimal variance-reduced stochastic approximation in Banach spaces
2022/01/21 by Wenlong Mou, Koulik Khamaru, Mou, Wenlong +7 · 1 citation
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Age of Information Optimization #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Reinforcement Learning in Robotics #Statistics Theory (math.ST)
- UCB algorithms for multi-armed bandits: Precise regret and adaptive inference
2024/12/09 by Qiyang Han, Han, Qiyang, Koulik Khamaru +3 · 2 citations
Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Data Stream Mining Techniques #Cognitive Radio Networks and Spectrum Sensing
- Adaptive Linear Estimating Equations
2023/07/14 by Ying, Mufang, Khamaru, Koulik, Zhang, Cun-Hui · 1 citation
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)