A neat result: the Complete Class Theorem . ➡️ pick any non-Bayes decision rule, there’s always a Bayes rule that is at least as good as non-Bayes one. When we talk about “good” procedures, we never really need to leave the Bayes world, at least for compact parameter spaces.

Amazing poster session yesterday at #NeurIPS2025 where we presented Adversarial Diffusion for Robust Reinforcement Learning! Thanks for all the great work @DanieleFoffano, looking forward to the next one! #RL #Diffusion

Excited to be in San Diego next week for #NeurIPS2025 🎉! Will present Adversarial Diffusion for Robust RL together with @DanieleFoffano. Poster session on Fri 5 Dec 7:30 p.m. EST, Exhibit Hall C,D,E. AD-RRL uses diffusion models to train Robust RL policies. #RL #Diffusion

Incredibly happy to have presented at the CS theory seminar a #UPenn ! Many thanks to @sikatasengupta for organizing this!

Just wrapped up my Pure Exploration short course, it was an amazing experience 🚀 All the lectures are now online: 🔗 sites.google.com/vie... Had a lot of fun teaching this, and I’d be happy to run it again for workshops, seminars, etc... just reach out! 📚

Excited to be in San Diego next week for #NeurIPS2025 🎉! Will present Adversarial Diffusion for Robust RL together with @DanieleFoffano. Poster session on Fri 5 Dec 7:30 p.m. EST, Exhibit Hall C,D,E. AD-RRL uses diffusion models to train Robust RL policies. #RL #Diffusion

Excited to be visiting #UPenn for the CS Theory Seminar tomorrow (Nov 21), where I’ll present my recent work on pure exploration in reinforcement learning, done together with @aldopacchiano.bsky.social Many thanks to @sikatasengupta.bsky.social for organizing this!

My X and Linkedin feed are filled with posts complaining about the review process in supposedly "top" ML conferences. I wrote on this issue several years ago "Ethical Issues in the Review Process of Machine Learning Conferences" arxiv.org/abs/2106.00810

Some Ethical Issues in the Review Process of Machine Learning Conferences

Recent successes in the Machine Learning community have led to a steep increase in the number of papers submitted to conferences. This increase made more prominent some of the issues that affect the c...

arxiv.org

Honored to be named a Top Reviewer (10%) for #NeurIPS2025 🎉. I’ll be in San Diego and happy to meet! I’ll also be with @DanieleFoffano presenting our latest on Robust RL with Diffusion Models arxiv.org/abs/2509.2.... Ping me if you want to chat on RL. #RL#DiffusionModels

Excited for tomorrow, where Pure Exploration in RL kicks off at Boston University 🎉! Lectures will be recorded & uploaded - stay tuned. Many thanks to @bostonu.bsky.social (CDS) & @aldopacchiano.bsky.social for allowing this opportunity. Website: sites.google.com/vie... #BU #RL #PureExploration

80⭐️ on a tiny repo on data-driven control I put out during my PhD! PyDeePC is a tiny Python implementation of Data-enabled Predictive Control. It is model-free, quick to try, easy to learn. Feedback welcome! github.com/rssalessi... #MPC #ControlTheory #DataDrivenControl

Excited to teach a PhD-level short course at #BostonUniversity: Pure Exploration and Active Sequential Hypothesis Testing. Nov 14–25, 4–6pm. We will cover Best-arm & best-policy Identification, sample complexity bounds and optimal algorithms. Website👉 sites.google.com/view/asht202...

Seminars on Pure Exploration and Active Sequential Hypothesis Testing

Course Description

sites.google.com

Interested in #RL, #bandits, and #learning in general? This is a collection of interesting papers (and books) that I have read so far or want to read. Note that the list is not up-to-date. github.com/rssalessio/r...

Thrilled to share that this work with Yichen Song and @aldopacchiano.bsky.social got accepted for an oral presentation at AISTATS 2025! Pure Exploration with Feedback Graphs arxiv.org/pdf/2503.07824 Code: github.com/rssalessio/P... #AISTATS #AISTATS2025 #ML