Fahim Tajwar
I am a PhD Student at the Machine Learning Department of
Carnegie Mellon University. I am fortunate to be co-advised by Prof. Ruslan Salakhutdinov and
Prof. Jeff Schneider.
Previously, I obtained my BS (with distinction, Mathemetics) in 2022 and MS (Computer Science) in 2023 from
Stanford University.
Feel free to reach out to me in case you have any questions or want to chat about my work!
Email  / 
CV  / 
Google Scholar  / 
Github  / 
LinkedIn
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Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data
Fahim Tajwar*,
Anikait Singh*,
Archit Sharma,
Rafael Rafailov,
Jeff Schneider,
Tengyang Xie,
Stefano Ermon,
Chelsea Finn, and
Aviral Kumar
International Conference on Machine Learning (ICML), 2024
[Paper],
[Code],
[Project Website]
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When to Ask for Help: Proactive Interventions in Autonomous Reinforcement Learning
Annie Xie*,
Fahim Tajwar*,
Archit Sharma*, and
Chelsea Finn
Neural Information Processing Systems (NeurIPS), 2022
[Paper],
[Code],
[Project Website]
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Do Deep Networks Transfer Invariances Across Classes?
Allan Zhou*,
Fahim Tajwar*,
Alexander Robey,
Tom Knowles,
George J Pappas,
Hamed Hassani, and
Chelsea Finn
International Conference on Learning Representations (ICLR), 2022
[Paper],
[Code]
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Conservative Prediction via Data-Driven Confidence Minimization
Caroline Choi*,
Fahim Tajwar*,
Yoonho Lee*,
Huaxiu Yao,
Ananya Kumar, and
Chelsea Finn
Transactions on Machine Learning Research (TMLR), 2024
[Paper],
[Code]
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Training a Generally Curious Agent
Fahim Tajwar*,
Yiding Jiang*,
Abitha Thankaraj,
Sumaita Sadia Rahman,
J Zico Kolter,
Jeff Schneider, and
Ruslan Salakhutdinov
Preprint, 2025
[Paper],
[Code],
[Project Website]
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