Scatteract: Automated Extraction of Data from Scatter Plots. - Mathieu Cliche; David S. Rosenberg; Dhruv Madeka; Connie Yee (ECML/PKDD (1), 2017)

MQTransformer: Multi-Horizon Forecasts with Context Dependent and Feedback-Aware Attention. - Carson Eisenach; Yagna Patel; Dhruv Madeka (CoRR, 2020)

A Few Expert Queries Suffices for Sample-Efficient RL with Resets and Linear Value Approximation. - Philip Amortila; Nan Jiang 008; Dhruv Madeka; Dean P. Foster (NeurIPS, 2022)

MQRetNN: Multi-Horizon Time Series Forecasting with Retrieval Augmentation. - Sitan Yang; Carson Eisenach; Dhruv Madeka (CoRR, 2022)

Deep Inventory Management. - Dhruv Madeka; Kari Torkkola; Carson Eisenach; Dean P. Foster; Anna Luo (CoRR, 2022)

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

Scaling Laws for Imitation Learning in NetHack. - Jens Tuyls; Dhruv Madeka; Kari Torkkola; Dean P. Foster; Karthik Narasimhan; Sham M. Kakade (CoRR, 2023)

Contextual Bandits for Evaluating and Improving Inventory Control Policies. - Dean P. Foster; Randy Jia; Dhruv Madeka (CoRR, 2023)

Learning an Inventory Control Policy with General Inventory Arrival Dynamics. - Sohrab Andaz; Carson Eisenach; Dhruv Madeka; Kari Torkkola; Randy Jia; Dean P. Foster; Sham M. Kakade (CoRR, 2023)

A Study on the Calibration of In-context Learning. - Hanlin Zhang 002; Yifan Zhang 004; Yaodong Yu; Dhruv Madeka; Dean P. Foster; Eric P. Xing; Himabindu Lakkaraju; Sham M. Kakade (NAACL-HLT, 2024)

Neural Coordination and Capacity Control for Inventory Management. - Carson Eisenach; Udaya Ghai; Dhruv Madeka; Kari Torkkola; Dean P. Foster; Sham M. Kakade (CoRR, 2024)

Scaling Laws for Imitation Learning in Single-Agent Games. - Jens Tuyls; Dhruv Madeka; Kari Torkkola; Dean P. Foster; Karthik R. Narasimhan; Sham M. Kakade (Trans. Mach. Learn. Res., 2024)

Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling. - Wenda Xu; Rujun Han; Zifeng Wang 002; Long T. Le; Dhruv Madeka; Lei Li 005; William Yang Wang; Rishabh Agarwal; Chen-Yu Lee; Tomas Pfister (ICLR, 2025)