Chi Jin @chijinML
Assistant Professor @Princeton. Researcher on theoretical foundations of machine learning, reinforcement learning, games and optimization. sites.google.com/view/cjin/home Princeton, NJ Joined November 2012-
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Truly honored to receive this recognition. Thank you all for your support, especially to my family, students, and collaborators!
Truly honored to receive this recognition. Thank you all for your support, especially to my family, students, and collaborators!
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Chi Jin retweeted
Consistency Model for Reinforcement Learning Code released for: Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning, accepted at ICLR'24 (arxiv.org/abs/2309.16984) Github: github.com/quantumiracle/… 🧐
Can we match the performance of optimally-tuned SGD without knowing the problem parameters including diameters, Lipschitz/smoothness constants, and noise levels? See our recent work led by amazing student @ahmedkhaledv2 at arxiv.org/abs/2402.07793
Supporting the incredibly stylish video about my amazing PhD advisor.
Supporting the incredibly stylish video about my amazing PhD advisor.
Feel free to stop by our posters on RL theory and parameter-free optimization at NeurIPS! Our amazing student Qinghua Liu @qinghual2020 is also on the job market this year.
In summer, @YuanhaoWang3 @qinghual2020 and I propose to learn Nash from human feedback in theory arxiv.org/abs/2306.14111 (inspired by the dueling bandit literature). It's truly fascinating to witness the idea being used to create innovative, practically useful algorithms for LLMs
In summer, @YuanhaoWang3 @qinghual2020 and I propose to learn Nash from human feedback in theory arxiv.org/abs/2306.14111 (inspired by the dueling bandit literature). It's truly fascinating to witness the idea being used to create innovative, practically useful algorithms for LLMs
Extremely honored to receive this junior faculty award as well as the NSF Career award this year. Thank you all for the support!
Excited to join as an invited speaker in this upcoming ICML workshop!
Excited to join as an invited speaker in this upcoming ICML workshop!
Do you know how to *provably* solve multiagent reinforcement learning problems under partial observability? Check out our NeurIPS poster at Hall J #616 on Wed 4pm, which gives the first sample-efficient solution for learning partially observable Markov games.
It's so much fun to attend IROS 2022 (visit Japan😃).
Chi Jin retweeted
📜 Our paper on efficient learning in Extensive-Form Games will appear at #NeurIPS2022 as an Oral Presentation! 🔗 Paper: arxiv.org/abs/2205.15294 📢 Poster: neurips.cc/virtual/2022/p… Joint work with @chijinML @WispyMay Ziang Song @tianchengyu14 🧵1/
Very glad to meet my old friend @shaneguML again! Princeton should also have a cat cafe. Very good business! It erases stress and heals your heart. :-)
Very glad to meet my old friend @shaneguML again! Princeton should also have a cat cafe. Very good business! It erases stress and heals your heart. :-)
6+ hours group hiking at Mountain Tammany, so tired!
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David Held @davheld
3K Followers 604 Following Associate Professor at Carnegie Mellon University | he/himCongrats to @BorisHanin, @chijinML, and @korolova, who have been named 2024 Sloan Research Fellows. The fellowships honor creative early-career researchers in the sciences and social sciences. ⬇️ engineering.princeton.edu/news/2024/02/2…
Super grateful to @SloanFoundation for this honor. Congrats to my @Princeton colleagues and fellow #SloanFellows @chijinML and @korolova!
Congrats to @BorisHanin, @chijinML, and @korolova, who have been named 2024 Sloan Research Fellows. The fellowships honor creative early-career researchers in the sciences and social sciences. ⬇️ engineering.princeton.edu/news/2024/02/2…
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