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Dhruv Madeka
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Conference and Workshop Papers
- 2024
- [c4]Hanlin Zhang, Yifan Zhang, Yaodong Yu, Dhruv Madeka, Dean Foster, Eric P. Xing, Himabindu Lakkaraju, Sham M. Kakade:
A Study on the Calibration of In-context Learning. NAACL-HLT 2024: 6118-6136 - 2023
- [c3]Zeyu Jia, Randy Jia, Dhruv Madeka, Dean P. Foster:
Linear Reinforcement Learning with Ball Structure Action Space. ALT 2023: 755-775 - 2022
- [c2]Philip Amortila, Nan Jiang, Dhruv Madeka, Dean P. Foster:
A Few Expert Queries Suffices for Sample-Efficient RL with Resets and Linear Value Approximation. NeurIPS 2022 - 2017
- [c1]Mathieu Cliche, David S. Rosenberg, Dhruv Madeka, Connie Yee:
Scatteract: Automated Extraction of Data from Scatter Plots. ECML/PKDD (1) 2017: 135-150
Informal and Other Publications
- 2023
- [i10]Jens Tuyls, Dhruv Madeka, Kari Torkkola, Dean P. Foster, Karthik Narasimhan, Sham M. Kakade:
Scaling Laws for Imitation Learning in NetHack. CoRR abs/2307.09423 (2023) - [i9]Dean P. Foster, Randy Jia, Dhruv Madeka:
Contextual Bandits for Evaluating and Improving Inventory Control Policies. CoRR abs/2310.16096 (2023) - [i8]Sohrab Andaz, Carson Eisenach, Dhruv Madeka, Kari Torkkola, Randy Jia, Dean P. Foster, Sham M. Kakade:
Learning an Inventory Control Policy with General Inventory Arrival Dynamics. CoRR abs/2310.17168 (2023) - [i7]Hanlin Zhang, Yi-Fan Zhang, Yaodong Yu, Dhruv Madeka, Dean Foster, Eric P. Xing, Himabindu Lakkaraju, Sham M. Kakade:
A Study on the Calibration of In-context Learning. CoRR abs/2312.04021 (2023) - 2022
- [i6]Philip Amortila, Nan Jiang, Dhruv Madeka, Dean P. Foster:
A Few Expert Queries Suffices for Sample-Efficient RL with Resets and Linear Value Approximation. CoRR abs/2207.08342 (2022) - [i5]Sitan Yang, Carson Eisenach, Dhruv Madeka:
MQRetNN: Multi-Horizon Time Series Forecasting with Retrieval Augmentation. CoRR abs/2207.10517 (2022) - [i4]Dhruv Madeka, Kari Torkkola, Carson Eisenach, Dean P. Foster, Anna Luo:
Deep Inventory Management. CoRR abs/2210.03137 (2022) - [i3]Zeyu Jia, Randy Jia, Dhruv Madeka, Dean P. Foster:
Linear Reinforcement Learning with Ball Structure Action Space. CoRR abs/2211.07419 (2022) - 2020
- [i2]Carson Eisenach, Yagna Patel, Dhruv Madeka:
MQTransformer: Multi-Horizon Forecasts with Context Dependent and Feedback-Aware Attention. CoRR abs/2009.14799 (2020) - 2017
- [i1]Mathieu Cliche, David S. Rosenberg, Dhruv Madeka, Connie Yee:
Scatteract: Automated extraction of data from scatter plots. CoRR abs/1704.06687 (2017)
Coauthor Index
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