Dhruv Madeka

According to our database, Dhruv Madeka authored at least 13 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling.

Wenda Xu, Rujun Han, Zifeng Wang, Long T. Le, Dhruv Madeka, Lei Li, William Yang Wang, Rishabh Agarwal, Chen-Yu Lee, Tomas Pfister

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Neural Coordination and Capacity Control for Inventory Management.

Carson Eisenach, Udaya Ghai, Dhruv Madeka, Kari Torkkola, Dean P. Foster, Sham M. Kakade

CoRR, 2024

A Study on the Calibration of In-context Learning.

Hanlin Zhang, Yifan Zhang, Yaodong Yu, Dhruv Madeka, Dean P. Foster, Eric P. Xing, Himabindu Lakkaraju, Sham M. Kakade

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

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

Contextual Bandits for Evaluating and Improving Inventory Control Policies.

Dean P. Foster, Randy Jia, Dhruv Madeka

CoRR, 2023

Scaling Laws for Imitation Learning in NetHack.

Jens Tuyls, Dhruv Madeka, Kari Torkkola, Dean P. Foster, Karthik Narasimhan, Sham M. Kakade

CoRR, 2023

Linear Reinforcement Learning with Ball Structure Action Space.

Zeyu Jia, Randy Jia, Dhruv Madeka, Dean P. Foster

Proceedings of the International Conference on Algorithmic Learning Theory, 2023

2022

Deep Inventory Management.

Dhruv Madeka, Kari Torkkola, Carson Eisenach, Dean P. Foster, Anna Luo

CoRR, 2022

MQRetNN: Multi-Horizon Time Series Forecasting with Retrieval Augmentation.

Sitan Yang, Carson Eisenach, Dhruv Madeka

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020

MQTransformer: Multi-Horizon Forecasts with Context Dependent and Feedback-Aware Attention.

Carson Eisenach, Yagna Patel, Dhruv Madeka

CoRR, 2020

2017

Scatteract: Automated Extraction of Data from Scatter Plots.

Mathieu Cliche, David S. Rosenberg, Dhruv Madeka, Connie Yee

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017