@sadhika.bsky.social
CS PhD student at Princeton. https://www.cs.princeton.edu/~smalladi/index.html
@suriyag.bsky.social
@nnekaokolo4.bsky.social
RL Researcher | Final-year PhD Student Interested in RL theory, stochastic optimization and online learning https://scholar.google.com/citations?hl=en&user=_8bbF8YAAAAJ
@adamian.bsky.social
@profsanjeevarora.bsky.social
Director, Princeton Language and Intelligence. Professor of CS.
@neuripsconf.bsky.social
The Thirty-Eighth Annual Conference on Neural Information Processing Systems will be held in Vancouver Convention Center, on Tuesday, Dec 10 through Sunday, Dec 15. https://neurips.cc/
@rl-conference.bsky.social
Information and updates about RLC 2025 at the University of Alberta from Aug. 5th to 8th! https://rl-conference.cc
@rrwilliams.bsky.social
professor of EECS at MIT. working in theoretical computer science namely algorithm design, complexity theory, circuit complexity, etc. i'll let you know when P != NP is proved (and when it's not)
@simonsfoundation.org
Advancing the frontiers of basic science through grantmaking, research and public engagement. Sign up for our newsletter: simonsfoundation.org/newsletter
@simonsinstitute.bsky.social
The world's leading venue for collaborative research in theoretical computer science. Follow us at http://YouTube.com/SimonsInstitute.
@mkearnsphilly.bsky.social
CS prof at Penn, Amazon Scholar in AWS. Interested in ML theory and related topics, as well as photography and Gilbert and Sullivan. Website: www.cis.upenn.edu/~mkearns
@almostsure.bsky.social
George Lowther. Author of Almost Sure blog on maths, probability and stochastic calculus https://almostsuremath.com Also on YouTube: https://www.youtube.com/@almostsure
@skiandsolve.bsky.social
⛷️ ML Theorist carving equations and mountain trails | 🚴♂️ Biker, Climber, Adventurer | 🧠 Reinforcement Learning: Always seeking higher peaks, steeper walls and better policies. https://ualberta.ca/~szepesva
@beccawillett.bsky.social
https://willett.psd.uchicago.edu/ Worah Family Professor, University of Chicago National Institute for Theory and Mathematics in Biology (https://www.nitmb.org/) Institute for AI in the Sky (SkAI, https://skai-institute.org/)
@kjamieson.bsky.social
faculty at UW CSE studying experimental design and reinforcement learning
@aldopacchiano.bsky.social
AI research at Broad Institute and Boston University. Reinforcement Learning / Bandits / Experiment Design Mexicano 🇲🇽
@dsi-uchicago.bsky.social
A field-defining intellectual hub for data science research, education, and outreach at the University of Chicago. Follow us on IG & Tik Tok: DSI_UChicago
@furongh.bsky.social
Associate professor of @umdcs @umiacs @ml_umd at UMD. Researcher in #AI/#ML, AI #Alignment, #RLHF, #Trustworthy ML, #EthicalAI, AI #Democratization, AI for ALL.
@haldaume3.bsky.social
Human-centered AI #HCAI, NLP & ML. Director TRAILS (Trustworthy AI in Law & Society) and AIM (AI Interdisciplinary Institute at Maryland). Formerly Microsoft Research NYC. Fun: 🧗🧑🍳🧘⛷️🏕️. he/him.
@inference.vc
Secular Bayesian. Professor of Machine Learning at Cambridge Computer Lab Talent aficionado at http://airetreat.org Alum of Twitter, Magic Pony and Balderton Capital
@sikatasengupta.bsky.social
cs phd @upenn advised by Michael Kearns, Aaron Roth, and Duncan Watts| previously @stanford | she/her https://psamathe50.github.io/sikatasengupta/
@yus167.bsky.social
PhD at Machine Learning Department, Carnegie Mellon University | Interactive Decision Making | https://yudasong.github.io
@rl-theory.bsky.social
Virtual seminar series featuring the latest advances in theoretical reinforcement learning. Seminars (approximately) every Tuesday at 6pm UTC. > https://sites.google.com/corp/view/rltheoryseminars
@andrea-montanari.bsky.social
Professor, Stanford University, Statistics and Mathematics. Opinions are my own.
@willemropke.bsky.social
PhD student | Interested in all things decision-making and learning
@nparikh.org
Teaching AI policy at Columbia (https://nparikh.org/sipa6545). Previously Director of AI for NYC. https://nparikh.org
@mufan-li.bsky.social
Postdoc at Princeton | Incoming Assistant Prof at Waterloo Statistics | Prev: PhD at UofT and Vector https://mufan-li.github.io/
@idanattias.bsky.social
Postdoc researcher at IDEAL Institute in Chicago, hosted by UIC and TTIC. My research interests are in machine learning theory, data-driven sequential decision-making, and theoretical computer science. https://www.idanattias.com/
@dimitrisp.bsky.social
Researcher @MSFTResearch; Prof @UWMadison (on leave); learning in context; thinking about reasoning; babas of Inez Lily. https://papail.io
@jfrankle.com
Chief AI Scientist at Databricks. Founding team at MosaicML. MIT/Princeton alum. Lottery ticket enthusiast. Working on data intelligence.
@cevherlions.bsky.social
Associate Professor of Electrical Engineering, EPFL. Amazon Scholar (AGI Foundations). IEEE Fellow. ELLIS Fellow.
@kwangsungjun.bsky.social
kwang-sung jun. assistant professor at the u of arizona. ml, online learning, and bandits! i am a fan of regret minimalism, both in life and research.
@yinglunzhu.bsky.social
Assistant Prof @ UC Riverside. Research on Efficient ML, RL, and LLMs. CS PhD @ UW Madison. yinglunz.com
@yisongyue.bsky.social
AI professor at Caltech. General Chair ICLR 2025. http://www.yisongyue.com
@pitchdropnow.bsky.social
@gabrielpeyre.bsky.social