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Conference and Workshop Papers
- 2024
[c5]Gaurav Rohit Ghosal, Tatsunori Hashimoto, Aditi Raghunathan:
Understanding Finetuning for Factual Knowledge Extraction. ICML 2024- [c4]Evan Ellis, Gaurav R. Ghosal, Stuart J. Russell, Anca D. Dragan, Erdem Biyik:
A Generalized Acquisition Function for Preference-based Reward Learning. ICRA 2024: 2814-2821 - 2023
- [c3]Gaurav R. Ghosal, Matthew Zurek, Daniel S. Brown, Anca D. Dragan:
The Effect of Modeling Human Rationality Level on Learning Rewards from Multiple Feedback Types. AAAI 2023: 5983-5992 - [c2]Gaurav Rohit Ghosal, Amrith Setlur, Daniel S. Brown, Anca D. Dragan, Aditi Raghunathan:
Contextual Reliability: When Different Features Matter in Different Contexts. ICML 2023: 11300-11320 - 2020
- [c1]Gaurav R. Ghosal, Dipak Ghosal, Alex Sim, Aditya V. Thakur, Kesheng Wu:
A Deep Deterministic Policy Gradient Based Network Scheduler For Deadline-Driven Data Transfers. Networking 2020: 253-261
Informal and Other Publications
- 2024
- [i5]Evan Ellis, Gaurav R. Ghosal, Stuart J. Russell, Anca D. Dragan, Erdem Biyik:
A Generalized Acquisition Function for Preference-based Reward Learning. CoRR abs/2403.06003 (2024) - [i4]Gaurav R. Ghosal, Tatsunori Hashimoto, Aditi Raghunathan:
Understanding Finetuning for Factual Knowledge Extraction. CoRR abs/2406.14785 (2024) - 2023
- [i3]Gaurav R. Ghosal, Amrith Setlur, Daniel S. Brown, Anca D. Dragan, Aditi Raghunathan:
Contextual Reliability: When Different Features Matter in Different Contexts. CoRR abs/2307.10026 (2023) - 2022
- [i2]Gaurav R. Ghosal, Matthew Zurek, Daniel S. Brown, Anca D. Dragan:
The Effect of Modeling Human Rationality Level on Learning Rewards from Multiple Feedback Types. CoRR abs/2208.10687 (2022) - 2021
- [i1]Gaurav R. Ghosal, Reza Abbasi-Asl:
Multi-Modal Prototype Learning for Interpretable Multivariable Time Series Classification. CoRR abs/2106.09636 (2021)
Coauthor Index
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