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modanesh.bsky.social
CS PhD @mcgill.ca and @mila-quebec.bsky.social, working on 🍒 and 🤖 stuff ex- @LetsUnifyAI, @NUSComputing, @EngineeringOSU https://modanesh.github.io/ 📍 Montreal, Canada
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This year's ICML review process was… something. The acknowledgement button felt like a placebo, and reviewer engagement was basically a ghost town, a solid 0/10. Not exactly a goldmine of constructive feedback.

How do people write a long equation in a two-column format latex file, like in ICML?

How can you 0-shot transfer predictions of long-term performance across reward functions *and* risk-sensitive utilities? We can do this via Distributional Successor Features. Our recent work introduces the 1st tractable & provably convergent algos for learning DSFs. #NeurIPS2024 #6704 12 Dec, 11-2

Just realized Ilya Sutskever has won the NeurIPS Test of Time Award three years in a row: 2022 for AlexNet, 2023 for Word2Vec, and 2024 for Seq2Seq 🤯 This is insane! Hats off to him!

1/ Just did a deep dive into #ICLR paper acceptance stats, and something doesn’t quite add up. With the traditional acceptance rate around ~30%, the numbers are telling a strange story. 🧵 @iclr-conf.bsky.social

RLC will be held at the Univ. of Alberta, Edmonton, in 2025. I'm happy to say that we now have the conference's website out: rl-conference.cc/index.html Looking forward to seeing you all there! @rl-conference.bsky.social #reinforcementlearning

Why I think peer reviewing in ML needs a major change of approach. Right now, it's less "advancing science" and more "petty revenge for that one bad review I got." At this rate, we'll all just submit papers directly into the void.

Just wish #ICLR reviewers were participating more actively in discussions