Joining the ML/AI folks at #NOLA for the week-long festivity of #NeurIPS2022🎄Anyone interested in RL/ bandits, privacy/ fairness/ethical AI, and World Cup Football feel free to connect. 😊 Keep an eye on Scool or ping to know more about PhD, postdoc, and intern positions.

It's always a proud moment when your student presents the first paper. 😊 NeurIPS Conference Achraf is going to present his work on when privacy meets partial information in sequential decision making. Come over and enrich with your comments. 🙏🏼 #NeurIPS2022 Centre Inria de l'Université de Lille

It's been a great week to learn more about the new developments in the AI/ML community, and also presenting our works! #aaai2023

Dreaming of spring! #cherryblossomsafterwinter #Inria_Lille

"And I think to myself What a wonderful world!"

Thanks to IJCAIconf for the stage, & Bishwa & Kuldeep S. Meel for the collaboration. Looking forward to discussions on algorithmic audit of ML/AI as a computational & interdisciplinary problem.🙏 #IJCAI2023 #AIaudit Université de Lille Centre Inria de l'Université de Lille Scool NUS @BenRbg

For RL enthusiasts and online learners, an enriching resource to kick-start your journey with #RL #bandits and so on... rlsummerschool.com/program/ #RLSS23 RLSS Barcelona

As following up the interesting new works #EAAMO23, we would like to thank ACM EAAMO (Handle Retired, Visit @EAAMO_ORG) for recognising our work on collective meritocracy and its impact on college admissions/candidate selection. 🙂 For more, check eaamo2022.eaamo.org/papers/buening… #EAAMO22 #FairML Centre Inria de l'Université de Lille Scool

Join us at NeurIPS Conference for details! Have a great conference ahead 😊 #NeurIPS23

2/2 Can you reconstruct a million $ model just by querying it? Yes, you can replicate BERT's predictions with 90% efficacy only with 1k queries! At 5PM, Debabrota Basu presents #Marich an information-theoretic unification of black-box model reconstruction: github.com/debabrota-basu…

Great piece by Nelly Litvak on Mazur's system of #matheduction. From my little journey of training budding theoreticians, I felt it's fundamental to create a safe space to ask questions, make mistakes, accept them w. no shame, build on lessons & repeat! 👉tinyurl.com/doweteachwhatw…

Check arxiv.org/pdf/2309.16563 & openreview.net/forum?id=oGIR0… to know more on regret bounds and algorithms for bandits with unbounded corruptions with light-and heavy-tailed rewards underneath. Scool Centre Inria de l'Université de Lille #Bandits #regret_bounds #ALT2024 Transactions on Machine Learning Research

Yesterday, Achraf presented SaTML Conference the nuances of privacy definitions for bandits, information-theoretic lower bounds, and a wrapper to turn algorithms for linear, contextual, and multi-armed bandits "private". #differential_privacy #bandits 👉arxiv.org/pdf/2309.00557

It's fun to revisit the sanctum sanctorum: how does a brain learn? Today at Convention on Mathematics of #Neuroscience & #AI, POURCEL Guillaume presents our work with @AdityaGilra on how to design a bio-plausible learning rule rather than backprop type methods to learn a time series.

An interesting line-up on interpretable RL. Congrats to Hector Kohler and organisers to pull off the workshop! 😊