Madeka, Dhruv

7 publications

ICLR 2025 Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling Wenda Xu, Rujun Han, Zifeng Wang, Long Le, Dhruv Madeka, Lei Li, William Yang Wang, Rishabh Agarwal, Chen-Yu Lee, Tomas Pfister

TMLR 2024 Scaling Laws for Imitation Learning in Single-Agent Games Jens Tuyls, Dhruv Madeka, Kari Torkkola, Dean Foster, Karthik R Narasimhan, Sham M. Kakade

NeurIPSW 2023 A Study on the Calibration of In-Context Learning Hanlin Zhang, YiFan Zhang, Yaodong Yu, Dhruv Madeka, Dean Foster, Eric P. Xing, Himabindu Lakkaraju, Sham M. Kakade

ALT 2023 Linear Reinforcement Learning with Ball Structure Action Space Zeyu Jia, Randy Jia, Dhruv Madeka, Dean P. Foster

NeurIPSW 2023 Meta-Analysis of Randomized Experiments with Applications to Heavy-Tailed Response Data Nilesh Tripuraneni, Dominique Perrault-Joncas, Dhruv Madeka, Dean Foster, Michael Jordan

NeurIPS 2022 A Few Expert Queries Suffices for Sample-Efficient RL with Resets and Linear Value Approximation Philip Amortila, Nan Jiang, Dhruv Madeka, Dean P. Foster

ECML-PKDD 2017 Scatteract: Automated Extraction of Data from Scatter Plots Mathieu Cliche, David S. Rosenberg, Dhruv Madeka, Connie Yee