Thibaud Rahier retweetledi
We are thrilled to announce this deserved award at #ALT25.
Congrats to Marc Abeille, David Janz, @CiaraPikeBurke 👏
Paper: When and why randomised exploration works (in linear bandits)
arxiv.org/abs/2502.08870
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Thibaud Rahier
71 posts
Thibaud Rahier
@RahierThibaud
Math & mountain lover. PhD in Machine Learning, Researcher @CriteoAILab
Katılım Nisan 2020
379 Takip Edilen90 Takipçiler
Thibaud Rahier retweetledi
Glad to announce that my first paper got accepted to #NeurIPS24 ! Yay!
"Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits" (arxiv.org/abs/2402.15171) 1/4
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Thibaud Rahier retweetledi
🚀 Covariance-adaptive algorithms for combinatorial semi-bandit feedback with awesome bounds!
Congrats @jlnzhou on your first accepted paper! #NeurIPS2024 🥳🎉
Julien Zhou@jlnzhou
Glad to announce that my first paper got accepted to #NeurIPS24 ! Yay! "Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits" (arxiv.org/abs/2402.15171) 1/4
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Thibaud Rahier retweetledi
Introducing Weight Averaged Rewarded Policies (WARP), Google DeepMind's latest RLHF alignment method using the magic of model merging. By scaling alignment like pre-training was scaled, WARP learns sota Gemma LLM surpassing previous releases. A 🧵below. arxiv.org/abs/2406.16768
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Thibaud Rahier retweetledi
How #ChatGPT and #LLM revolutionized language processing? Discover the groundbreaking research led by @LivaRalaivola and Criteo's AIR team as we unravel the mysteries of these technologies and their implications for the future of AI-driven innovation.🔮
careers.criteo.com/en/criteo-life…
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Thibaud Rahier retweetledi
Since I joined @CriteoAILab, I started digging into applied causality topics. Our recent work “Maximizing the Success Probability of Policy Allocations in Online Systems” got accepted to AAAI-24 🥳!
arxiv.org/abs/2312.16267
Ping @artembetley @RahierThibaud
🧵🧵🧵
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Thibaud Rahier retweetledi
Exciting news 🎓! I'm defending my PhD on "Diverse & Efficient Ensembling of Deep Networks" tomorrow at 13h30 CEST. If you're in Paris and can join, DM me. Or catch the live stream on YouTube: youtube.com/watch?v=DTD7qt…. Wish me luck!
YouTube
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Thibaud Rahier retweetledi
Extremely happy that my latest PhD work on "Sequential Counterfactual Risk Minimization" has been accepted at #ICML2023 🎉🥳🎊
arxiv.org/pdf/2302.12120…
Work at @CriteoAILab with Eustache Diemert, @mmatthieumartin, and @inria_grenoble with @julienmairal, Pierre Gaillard
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Thibaud Rahier retweetledi
Voici un chiffre stupéfiant : 70 % de la population française croit que manger local est meilleur pour le climat que devenir végétarien.
C'est totalement faux mais savez-vous pourquoi?
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Thibaud Rahier retweetledi
But we go a step further by averaging weights fine-tuned from different initializations. This requires new relaxed averageability conditions, which we analyze in our paper. Rough insight: if two initializations can be averaged, then so can their fine-tuned weights.
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Thibaud Rahier retweetledi
Ready to give your deep models a second life? Introducing model ♻️ recycling (arxiv.org/abs/2212.10445), improving generalization by reusing weights fine-tuned on various vision tasks. Just like you recycle your bottles and cardboards, it's time to start recycling your models too!
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Thibaud Rahier retweetledi
Weight averaging strategies are super useful in deep learning, and succeed despite the non-linearities in networks' architectures. Our 2 works presented at #NeurIPS2022 analyze how they can help for out-of-distribution classification in computer vision! (1/4)
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Thibaud Rahier retweetledi
End of two fantastic research days at the Neurips@Paris workshop organized by #SCAI and @CriteoAILab
Thanks for the organization!
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Thibaud Rahier retweetledi
Thibaud Rahier retweetledi
Latest publications from @CriteoAILab at @NeurIPSConf (x 7) and @TmlrOrg: ailab.criteo.com/latest-papers-…
Congrats to all Criteos and co-authors for pushing ML. @m_kirchmeyer @RahierThibaud @rakotal1 @VianneyPerchet @MaximeVono @SergeyI49013776
@RLerallut
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Feel free to join us at our @CriteoAILab workshop at @ECMLPKDD on out-of-distribution generalization at 2:30PM today, with an invited talk by @ramealexandre and a keynote by David Lopez-Paz from @MetaAI !
Criteo AI Lab@CriteoAILab
💻Join us for the Uplift Modeling Tutorial & Workshop @ECMLPKDD (ITE, CATE, HTE for business decision support) 📢Keynote by Eustache Diemert 🕹Discovery Challenge by Eustache, Karim Kassab and Thibaud Rahier More details 👉 medium.com/criteo-enginee… #ecmlpkdd2022
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Thibaud Rahier retweetledi
💻Join us for the Uplift Modeling Tutorial & Workshop @ECMLPKDD (ITE, CATE, HTE for business decision support)
📢Keynote by Eustache Diemert
🕹Discovery Challenge by Eustache, Karim Kassab and Thibaud Rahier
More details 👉 medium.com/criteo-enginee… #ecmlpkdd2022
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Thibaud Rahier retweetledi
Interested in linear mode connectivity, weight averaging and/or OOD generalization? Check out our latest DiWA paper, now accepted at #Neurips2022
Alexandre Ramé@ramealexandre
Assume you are creating a team with multiple versions of the same person. Should these versions be collected chronologically, from childhood to adulthood? or rather from independent evolutions in multiple parallel universes? A 🧵about Ricks and our latest #DeepLearning paper.
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Thibaud Rahier retweetledi
🎉Excited 🎉 to present our paper on nested bandits at #ICML2022 Join us at the📍Theory session room 307 at 🗓️11:35 EDT to attend our spotlight📣! We propose a nested bandit algorithm that performs a layered exploration when the set of alternatives enjoys a similarity structure.
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