@renaudgaucher.bsky.social
PhD student at École polytechnique. Optimization, machine learning, robustness renaudgaucher.github.io
@tifr.res.in
Tata Institute of Fundamental Research (TIFR), a research institute & Deemed University for Natural Sciences, Mathematics, Computer Science & Science Education, under the Department of Atomic Energy of the Government of India.
@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
@charapod.bsky.social
Assistant Professor of Operations Research and Statistics, MIT. Interested in social computing, human-in-the-loop of AI decision making, recommendation systems, and AI policy.
@uuujf.bsky.social
Postdoc at Simons at UC Berkeley; alumnus of Johns Hopkins & Peking University; deep learning theory. https://uuujf.github.io
@daneelssoul.bsky.social
@phdcomics.bsky.social
Comics by Jorge Cham: Oliver's Great Big Universe, Elinor Wonders Why, We Have No Idea and PHD Comics
@simonsinstitute.bsky.social
The world's leading venue for collaborative research in theoretical computer science. Follow us at http://YouTube.com/SimonsInstitute.
@emeryberger.bsky.social
Professor, Computer Science, UMass; Amazon Scholar. I work on programming languages & systems, among other things. http://PLASMA-UMass.org, http://github.com/plasma-umass, http://CSrankings.org, http://github.com/emeryberger. ACM Fellow.
@edzitron.com
British, But In Las Vegas and NYC ezitron.76 Sig Newsletter - wheresyoured.at https://linktr.ee/betteroffline - podcast w/ iheartradio Columnist at Business Insider - https://www.businessinsider.com/author/ed-zitron CEO at EZPR.com - Award-Winning Tech PR
@argymouz.bsky.social
PhD Student @ UWaterloo, Interested in TCS + Stats/ML and Differential Privacy, https://argymouz.github.io/
@eleurent.bsky.social
Research scientist at Google Deepmind generative modeling, rl, birds, poetry, games, robots 📍London 🔗 edouardleurent.com
@simson.net
Dr. Simson Garfinkel researches and writes at the intersection of AI, privacy, and digital forensics. He is a fellow of the AAAS, the ACM and the IEEE. He earned his PhD in Computer Science at MIT and a Master of Science in Journalism at Columbia.
@onlineparallels.bsky.social
@szhoucs.bsky.social
CS Assistant Professor at Texas A&M University. Sublinear algorithms, machine learning, TCS. Typical academic seeking knowledge, purpose, and free food. He/him. https://samsonzhou.github.io
@arnauddoucet.bsky.social
Senior Staff Research Scientist @Google DeepMind, previously Stats Prof @Oxford Uni - interested in Computational Statistics, Generative Modeling, Monte Carlo methods, Optimal Transport.
@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
@quanquangu.bsky.social
Professor @UCLA, Research Scientist @ByteDance | Recent work: SPIN, SPPO, DPLM 1/2, GPM, MARS | Opinions are my own
@bvasudeva.bsky.social
CS PhD student @ USC | BTech @ IIT Roorkee ML/DL theory, Science of DL, Optimization estija.github.io
@danlarremore.bsky.social
Prof | CU Boulder BioFrontiers Institute + Computer Science | Santa Fe Institute LarremoreLab.github.io
@zdeborova.bsky.social
Professor at EPFL. Une mathémaphysinformaticienne. Passionate mushroom hunter. Tamer of two little dragons.
@spmontecarlo.bsky.social
Lecturer in Maths & Stats at Bristol. Interested in probabilistic + numerical computation, statistical modelling + inference. (he / him). Homepage: https://sites.google.com/view/sp-monte-carlo Seminar: https://sites.google.com/view/monte-carlo-semina
@djsutherland.ml
machine learning asst prof at @cs.ubc.ca and amii statistical testing, kernels, learning theory, graphs, active learning… she/her, 🏳️⚧️, @queerinai.com
@gabrielpeyre.bsky.social
@jmscarlett.bsky.social
Associate Professor, National University of Singapore. Working in information theory, machine learning, and statistics.
@gkdziugaite.bsky.social
Sr Research Scientist at Google DeepMind, Toronto. Member, Mila. Adjunct, McGill CS. PhD Machine Learning & MASt Applied Math (Cambridge), BSc Math (Warwick). gkdz.org
@djfoster.bsky.social
Principal Researcher in AI/ML/RL Theory @ Microsoft Research NE/NYC. Previously @ MIT, Cornell. http://dylanfoster.net RL Theory Lecture Notes: https://arxiv.org/abs/2312.16730
@claireve.bsky.social
Group Leader in Tübingen, Germany I’m 🇫🇷 and I work on RL and lifelong learning. Mostly posting on ML related topics.
@timvanerven.nl
Associate professor in machine learning at the University of Amsterdam. Topics: (online) learning theory and the mathematics of interpretable AI. www.timvanerven.nl Theory of Interpretable AI seminar: https://tverven.github.io/tiai-seminar
@nolongerconvex.bsky.social
CS PhD at UW-Madison | Interests: Learning Theory, Trustworthy ML | Previously: IISc, Bangalore Website: https://dbp1994.github.io
@zstevenwu.bsky.social
Computer science professor at Carnegie Mellon. Researcher in machine learning. Algorithmic foundations of responsible AI (e.g., privacy, uncertainty quantification), interactive learning (e.g., RLHF). https://zstevenwu.com/
@jubaz.bsky.social
Assistant professor at Georgia Tech in ISyE. I do mechanism design, differential privacy, fairness, and learning theory, mostly. Postdoc @Penn; Ph.D. @Caltech; MSc @Columbia and @Supélec. He/him.
@differentialprivacy.org
🤖 new arXiv preprints mentioning "differential privacy" or "differentially private" in the title/abstract/metadata + updates from https://differentialprivacy.org [Under construction.]
@vsergei.bsky.social
Algorithms, predictions, privacy. https://theory.stanford.edu/~sergei/
@amartyasanyal.bsky.social
Assistant Professor @Dept. Of Computer Science, University of Copenhagen, Ex Postdoc @MPI-IS, ETHZ, PhD @University of Oxford, B.Tech @CSE,IITK.
@rasmuspagh.net
Professor of computer science at University of Copenhagen. Interested in random things & their application (especially to algorithms and privacy). rasmuspagh.net
@jelaninelson.bsky.social
Professor and Chair of Computer Science Division, UC Berkeley EECS. Research Scientist (part-time) at Google. Founder, AddisCoder. 🇻🇮🇺🇸🇪🇹
@chhaviyadav.bsky.social
Machine Learning Researcher | PhD Candidate @ucsd_cse | @trustworthy_ml chhaviyadav.org
@sid-devic.bsky.social
PhD student @USC, previously undergrad @UT_Dallas. Algorithmic fairness and ML theory. Research site: https://sid.devic.us/
@vaishnavh.bsky.social
Foundations of AI. I like toy examples and creative ideas. 🧮🧸 Google Research | PhD, CMU | I like thinking about the next token https://arxiv.org/abs/2504.15266 | https://arxiv.org/abs/2403.06963 vaishnavh.github.io
@gavin-brown.bsky.social
Postdoc at UW CSE. Differential privacy, memorization in ML, and learning theory.