Yuxin Chen (@yuxinch) 's Twitter Profile
Yuxin Chen

@yuxinch

Machine Learning Researcher, Assistant Professor at @UChicagoCS

ID: 1147575865464672256

linkhttps://yuxinchen.org calendar_today06-07-2019 18:39:42

139 Tweet

1,1K Followers

424 Following

David Sontag (@david_sontag) 's Twitter Profile Photo

In a first for ML virtual conferences, #UAI2021 early-bird registration is FREE for students🎓😎🎉. Conference will be July 27-30. Details here: auai.org/uai2021 UAI 2025

Andreas Krause (@arkrause) 's Twitter Profile Photo

Exciting opportunity to shape the domain of #trustworthyai! At LatticeFlow we are looking for passionate team members to join us in a commercial role. Please help spread the word!

Yuxin Chen (@yuxinch) 's Twitter Profile Photo

ATTN PHDS: UChicago Rising Stars in Data Science workshop application is live! Great opportunity for PhDs working on data science research to give a talk, network with faculty, and learn about post-grad career opportunities: bit.ly/3jCEsK2 @CDAC_UChicago

ATTN PHDS: UChicago Rising Stars in Data Science workshop application is live! Great opportunity for PhDs working on data science research to give a talk, network with faculty, and learn about post-grad career opportunities: bit.ly/3jCEsK2
@CDAC_UChicago
UChicagoCS (@uchicagocs) 's Twitter Profile Photo

The trio of new faculty (Rana Hanocka, Ken Nakagaki, Aloni Cohen) joining UChicago CS for 2021-22 bring expertise in cryptography and privacy, AI-driven visual computing, and human-computer interaction to the department: cs.uchicago.edu/news/article/n…

The trio of new faculty (<a href="/RanaHanocka/">Rana Hanocka</a>, <a href="/ken0324/">Ken Nakagaki</a>, <a href="/aloni_bologna/">Aloni Cohen</a>) joining UChicago CS for 2021-22 bring expertise in cryptography and privacy, AI-driven visual computing, and human-computer interaction to the department:

cs.uchicago.edu/news/article/n…
Data Science Institute (@dsi_uchicago) 's Twitter Profile Photo

Final-year PhDs and postdocs, it’s your last week to apply for the Rising Stars in Data Science workshop! Share your research, network, and meet with UChicago faculty mentors. More info: cdac.uchicago.edu/rising-stars/

Final-year PhDs and postdocs, it’s your last week to apply for the Rising Stars in Data Science workshop! Share your research, network, and meet with UChicago faculty mentors. More info:

cdac.uchicago.edu/rising-stars/
Data Science Institute (@dsi_uchicago) 's Twitter Profile Photo

Next week: hear about opportunities to do postdoctoral research at the intersection of data science and energy, medicine, policy, and more.

Yuxin Chen (@yuxinch) 's Twitter Profile Photo

An exciting lineup of speakers for the UChicago AI+Science summer school! (note that applications are due by April 25th)

Yuxin Chen (@yuxinch) 's Twitter Profile Photo

Now that the rebuttal window has closed for #icml2023, it's odd to see authors of over 90% of ICML submissions in my AC batch not submitting *any* rebuttal. Are the PCs supposed to treat the "Official Comments" as potential late rebuttals?

Yuxin Chen (@yuxinch) 's Twitter Profile Photo

Thanks Stephen Wolfram for sending your new book on ChatGPT! A colleague was asking for an introductory article on ChatGPT and I'm glad to have it at hand now.

Thanks <a href="/stephen_wolfram/">Stephen Wolfram</a> for sending your new book on ChatGPT! A colleague was asking for an introductory article on ChatGPT and I'm glad to have it at hand now.
Han Liu (@hanliuai) 's Twitter Profile Photo

Can representations from ML models help improve human accuracy on challenging prediction tasks? In our #ICLR2023 paper, we show representations trained to be aligned with human visual perception can help non-experts do better in both natural and medical image classification:

Can representations from ML models help improve human accuracy on challenging prediction tasks?

In our #ICLR2023 paper, we show representations trained to be aligned with human visual perception can help non-experts do better in both natural and medical image classification:
Data Science Institute (@dsi_uchicago) 's Twitter Profile Photo

It has been an amazing week of AI+Science Summer School! Thank you to all our presenters and to the Schmidt AI+Science Fellows for your work organizing! 🎉🎉🎉

It has been an amazing week of AI+Science Summer School! Thank you to all our presenters and to the Schmidt AI+Science Fellows for your work organizing! 🎉🎉🎉
Xuefeng Liu (@xuefengcs) 's Twitter Profile Photo

How can an agent actively learn from multiple blackbox oracles by taking advantage of their complementary expertise to learn a better policy in a sample-efficient manner? In our #ICML2023 paper, we introduce MAPS (Active Policy Selection) and MAPS-SE (+Active State Exploration)

How can an agent actively learn from multiple blackbox oracles by taking advantage of their complementary expertise to learn a better policy in a sample-efficient manner?

In our #ICML2023 paper, we introduce MAPS (Active Policy Selection) and MAPS-SE (+Active State Exploration)
Yuxin Chen (@yuxinch) 's Twitter Profile Photo

Joint work on partition-based BO, with Caltech and LLNL collaborators Yisong Yue James Bowden et al., led by Fengxue -- Looking forward to chat with you at the last #ICML2023 poster session (Th 1:30pm)!

Xuefeng Liu (@xuefengcs) 's Twitter Profile Photo

It’s great to introduce <Blending IL and RL for Robust Policy Improvement> as a #SPOTLIGHT presentation at #ICLR2024 (joint work with Takuma Yoneda, Rick Stevens, Matt Walter Yuxin Chen). Thanks to quite a few people who stopped by with interesting questions and follow-ups!

It’s great to introduce &lt;Blending IL and RL for Robust Policy Improvement&gt; as a #SPOTLIGHT presentation at #ICLR2024 (joint work with <a href="/takuma_yoneda/">Takuma Yoneda</a>, Rick Stevens, <a href="/mattrwalter/">Matt Walter</a> <a href="/yuxinch/">Yuxin Chen</a>). Thanks to quite a few people who stopped by with interesting questions and follow-ups!
Yuxin Chen (@yuxinch) 's Twitter Profile Photo

Excited to present our work on "Learning to Rank for Active Learning via Multi-Task Bilevel Optimization" (paper: twtr.to/JiqZd) at #UAI2024 today. This is joint work with Si Chen and Ruoxi Jia, led by ZixinDing. Please stop by poster #703 if you are around!

Excited to present our work on "Learning to Rank for Active Learning via Multi-Task Bilevel Optimization" (paper: twtr.to/JiqZd) at #UAI2024 today. This is joint work with <a href="/si_chen0921/">Si Chen</a> and <a href="/ruoxijia/">Ruoxi Jia</a>, led by <a href="/zixin_ding/">ZixinDing</a>. Please stop by poster #703 if you are around!
Yuxin Chen (@yuxinch) 's Twitter Profile Photo

Also excited to present "No-Regret Learning of Nash Equilibrium for Black-Box Games via Gaussian Processes" led by Fengxue Zhang and Minbiao Han (Paper: openreview.net/pdf?id=LMcHRkp…). Please stop by poster #446 this afternoon to have a chat! #UAI2024

Also excited to present "No-Regret Learning of Nash Equilibrium for Black-Box Games via Gaussian Processes" led by <a href="/zhangfx7UC/">Fengxue Zhang</a> and <a href="/imdothan/">Minbiao Han</a>  (Paper: openreview.net/pdf?id=LMcHRkp…). Please stop by poster #446 this afternoon to have a chat! #UAI2024