Nan Jiang @nanjiang_cs
machine learning researcher, with focus on reinforcement learning. asst prof @ uiuc cs. Course on RL theory (w/ videos): https://t.co/vqVKwY4RJE nanjiang.cs.illinois.edu Joined November 2017-
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friends must have been bored of me saying this, but clearly not nearly enough ppl know this not all equations can be turned into an optimization loss
friends must have been bored of me saying this, but clearly not nearly enough ppl know this not all equations can be turned into an optimization loss https://t.co/e0ELBhOH6n
now try (Q*-TQ*)^2
on the same topic (not by me!): terrytao.wordpress.com/2007/05/23/sof… "Soft analysis, hard analysis, and the finite convergence principle"
on the same topic (not by me!): terrytao.wordpress.com/2007/05/23/sof… "Soft analysis, hard analysis, and the finite convergence principle" https://t.co/dLcV8DkFiX
We often hear about the theory-practice gap. At this workshop we will take a thorough look at this. Is there a gap? What is the nature of the gap? Who made it? Is it good to have the gap? If not, how to close it? I think this is super important for the healthiness of the field!
We often hear about the theory-practice gap. At this workshop we will take a thorough look at this. Is there a gap? What is the nature of the gap? Who made it? Is it good to have the gap? If not, how to close it? I think this is super important for the healthiness of the field!
I'm thrilled to announce a new opening in my group, for a Principal Researcher role in my team! Help us drive deep scientific insights and shape future machine learning applications in gaming and other application areas. Learn more and apply here: jobs.careers.microsoft.com/global/en/job/…
Wrenching news: Dan Dennett has died. He's been a great friend and incredible inspiration for me throughout my career. I will miss him enormously. dailynous.com/2024/04/19/dan…
wrote this down more formally so that I can get it off my mind... arxiv.org/abs/2404.09946 If you find the original tweets lack context/background but find the topic interesting, the note might be helpful
wrote this down more formally so that I can get it off my mind... arxiv.org/abs/2404.09946 If you find the original tweets lack context/background but find the topic interesting, the note might be helpful
survey is a good excuse to dump my personal hot takes on these "convention" issues lol Also 4p into the draft and no slightest hint of TD. I am writing very... ahistorically? like imagine building the area from scratch from a learning-theory view. let's see how it works...
survey is a good excuse to dump my personal hot takes on these "convention" issues lol Also 4p into the draft and no slightest hint of TD. I am writing very... ahistorically? like imagine building the area from scratch from a learning-theory view. let's see how it works... https://t.co/NBpXKpfYDK
Huge congratulations to Avi Widgerson on his Turing Award, for his foundational work on understanding the role of randomness 🎲 in algorithms and computing! Saying it's well-deserved would be an understatement. cacm.acm.org/news/wigderson…
Come join us and learn from @ayush_sekhari tomorrow about the wonders of hybrid offline-online RL! @nanjiang_cs will be the host!
Come join us and learn from @ayush_sekhari tomorrow about the wonders of hybrid offline-online RL! @nanjiang_cs will be the host!
My group at Berkeley Stats and EECS has a postdoc opening in the theoretical (e.g., scaling laws, watermark) and empirical aspects (e.g., efficiency, safety, alignment) of LLMs or diffusion models. Send me an email with your CV if interested!
Another day where “wp ≥1-δ” confused me as hell and “Pr[] ≤ δ” came to save the day.
Clément Canonne @ccanonne_
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Yisong Yue @yisongyue
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PBS SpaceTime @PBSSpaceTime
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Question for reward alignment (or RLHF) ppl (or anyone who is concerned): what is the appropriate metric(s) to measure your aligned policy pi w.r.t. a reward R and reference policy pi_ref? I have two strategies: 1. Measure V*-V(pi) & measure KL(pi&pi_ref) separately (V* is the…
This highly cited survey (arxiv.org/abs/2110.11334) claims the term "OOD detection" first emerged in 2017. Can this possibly be true? It describes something we've been doing since time immemorial.
@nanjiang_cs for sure - believing that every problem can be translated into a practically solvable optimisation problem would certainly be too optimistic, so the ideal statement must be a bit weaker than that.
@nanjiang_cs i guess that you are voicing the silent "practical" in "turned into a (practical) optimization loss", which is also fair
on the same topic (not by me!): terrytao.wordpress.com/2007/05/23/sof… "Soft analysis, hard analysis, and the finite convergence principle"
One fairly basic perspective which has shaped my view of modern analysis is that there can be a world of difference between a property which "just holds", as opposed to "holding uniformly" in some suitable sense.
@andrewgwils I also grind over "inference time" as it clashes with statistical inference, but "test time" is also misleading? Why is it necessarily a test? The model is not getting any feedback. The best unambiguous is perhaps "prediction time" or "deployment time"?
Announcing the #ILLINOIS Siebel School of Computing and Data Science at @uofigrainger made possible with a $50 MM gift from @TomSiebel. With our #5 in-the-nation computer science program and 21 blended degree programs, the best is yet to come! 🔸🔹 ▶️ grainger.illinois.edu/news/stories/6…
Announcing the #ILLINOIS Siebel School of Computing and Data Science at The Grainger College of Engineering, made possible with a $50 MM gift from Thomas M. Siebel. With our #5 in-the-nation computer science program and 21 blended degree programs, the best is yet to come! 🔸🔹
I also do a double take every time someone uses "inference time" to mean "test time". I really dislike this change in terminology, which overloads the historical and more sensible meanings of the word "inference". When and why did it happen?
I will never get over how AI/ML people use the word “inference”
Hey @neu_rips, I took your RL course last autumn at the upf (really enjoyed it :)) but haven't received a grade yet 👀
Proud to share that after years of unsuccessful attempts, I finally found a way to turn my online clownery into a CV line item: rl-conference.cc/organizers.html!
While we can't drop a whole surprise album like @taylorswift13, we can at least drop a surprise track! If you've been itching to present a previously published journal paper, our new presentation track at #RLC2024 might be just for you: docs.google.com/forms/d/e/1FAI….
While we can't drop a whole surprise album like @taylorswift13, we can at least drop a surprise track! If you've been itching to present a previously published journal paper, our new presentation track at #RLC2024 might be just for you: docs.google.com/forms/d/e/1FAI….
The story (from an insider) is that 600 or so cryptography researchers collaborated extensively in the past weeks to check the new LWE result that predicted the impending post-quantum apocalypse. Thankfully, it isn't correct😌 Bad news for the authors, but good news for mankind
Chen’s paper has a bug, independently discovered by Hongxun Weng and Thomas Vidick, that he doesn’t know how to fix. If I understand correctly, in its current form the paper doesn’t yield any improvement on prior algorithms. eprint.iacr.org/2024/555
Excited to receive the @Google Research Scholar Award for my work on Learning and Fine-Tuning Large Models in Federated Environments! @GoogleAI research.google/programs-and-e…
Postdoc @ShuangningLi will be leaving us in mid-June to start her new job as Assistant Professor of Econometrics and Statistics at University of Chicago Booth School of Business. Congratulations, Shuangning!!
My 2024 #ReinforcementLearning course at ASU has been completed. Slides, videolectures, supporting material, and PDF of my new 440-page textbook “A Course in Reinforcement Learning”, can be found at web.mit.edu/dimitrib/www/R…
Some researchers add a ton of value to a project via 5-10 hours of discussion, particularly if they have some expertise you don’t. Giving an incentive to do this via authorship seems good and being an author on many papers is a natural side effect
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