Dhruv Madeka - RankMe

18 papers A* 2B 1Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling. ICLR Wenda Xu, Rujun Han, Zifeng Wang, Long T. Le, Dhruv Madeka, Lei Li, William Yang Wang, Rishabh Agarwal, Chen-Yu Lee, Tomas Pfister
2024	—	`conf`	A Study on the Calibration of In-context Learning. NAACL-HLT Hanlin Zhang, Yifan Zhang, Yaodong Yu, Dhruv Madeka, Dean P. Foster, Eric P. Xing, Himabindu Lakkaraju, Sham M. Kakade
2024	J	`jnl`	Neural Coordination and Capacity Control for Inventory Management. CoRR Carson Eisenach, Udaya Ghai, Dhruv Madeka, Kari Torkkola, Dean P. Foster, Sham M. Kakade
2024	J	`jnl`	Scaling Laws for Imitation Learning in Single-Agent Games. Trans. Mach. Learn. Res. Jens Tuyls, Dhruv Madeka, Kari Torkkola, Dean P. Foster, Karthik R. Narasimhan, Sham M. Kakade
2024	J	`jnl`	Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling. CoRR Wenda Xu, Rujun Han, Zifeng Wang, Long T. Le, Dhruv Madeka, Lei Li, William Yang Wang, Rishabh Agarwal, Chen-Yu Lee, Tomas Pfister
2023	J	`jnl`	A Study on the Calibration of In-context Learning. CoRR Hanlin Zhang, Yifan Zhang, Yaodong Yu, Dhruv Madeka, Dean P. Foster, Eric P. Xing, Himabindu Lakkaraju, Sham M. Kakade
2023	J	`jnl`	Contextual Bandits for Evaluating and Improving Inventory Control Policies. CoRR Dean P. Foster, Randy Jia, Dhruv Madeka
2023	J	`jnl`	Learning an Inventory Control Policy with General Inventory Arrival Dynamics. CoRR Sohrab Andaz, Carson Eisenach, Dhruv Madeka, Kari Torkkola, Randy Jia, Dean P. Foster, Sham M. Kakade
2023	B	`conf`	Linear Reinforcement Learning with Ball Structure Action Space. ALT Zeyu Jia, Randy Jia, Dhruv Madeka, Dean P. Foster
2023	J	`jnl`	Scaling Laws for Imitation Learning in NetHack. CoRR Jens Tuyls, Dhruv Madeka, Kari Torkkola, Dean P. Foster, Karthik Narasimhan, Sham M. Kakade
2022	A*	`conf`	A Few Expert Queries Suffices for Sample-Efficient RL with Resets and Linear Value Approximation. NeurIPS Philip Amortila, Nan Jiang, Dhruv Madeka, Dean P. Foster
2022	J	`jnl`	A Few Expert Queries Suffices for Sample-Efficient RL with Resets and Linear Value Approximation. CoRR Philip Amortila, Nan Jiang, Dhruv Madeka, Dean P. Foster
2022	J	`jnl`	Deep Inventory Management. CoRR Dhruv Madeka, Kari Torkkola, Carson Eisenach, Dean P. Foster, Anna Luo
2022	J	`jnl`	Linear Reinforcement Learning with Ball Structure Action Space. CoRR Zeyu Jia, Randy Jia, Dhruv Madeka, Dean P. Foster
2022	J	`jnl`	MQRetNN: Multi-Horizon Time Series Forecasting with Retrieval Augmentation. CoRR Sitan Yang, Carson Eisenach, Dhruv Madeka
2020	J	`jnl`	MQTransformer: Multi-Horizon Forecasts with Context Dependent and Feedback-Aware Attention. CoRR Carson Eisenach, Yagna Patel, Dhruv Madeka
2017	—	`conf`	Scatteract: Automated Extraction of Data from Scatter Plots. ECML/PKDD (1) Mathieu Cliche, David S. Rosenberg, Dhruv Madeka, Connie Yee
2017	J	`jnl`	Scatteract: Automated extraction of data from scatter plots. CoRR Mathieu Cliche, David S. Rosenberg, Dhruv Madeka, Connie Yee