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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Conference Publications
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]
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]
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]
Journal Publications
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]
Preprints
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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