@alannawzadamin.bsky.social
Faculty fellow at NYU working with @andrewgwils.bsky.social. Statistics & machine learning for proteins, RNA, DNA. Prev: @jura.bsky.social, PhD with Debora Marks Website: alannawzadamin.github.io
@lampinen.bsky.social
Interested in cognition and artificial intelligence. Research Scientist at Google DeepMind. Previously cognitive science at Stanford. Posts are mine. lampinen.github.io
@ryzhang.bsky.social
PhD student in Computational Statistics and Machine Learning at STOR-i CDT, Lancaster University, UK. Research Interests: Sampling Algorithms, Bayesian Experiment Designs, Neural Amortization. https://shusheng3927.github.io/
@beenwrekt.bsky.social
Blog: https://argmin.substack.com/ Webpage: https://people.eecs.berkeley.edu/~brecht/
@angelamczhou.bsky.social
assistant prof at USC Data Sciences and Operations; phd Cornell ORIE. data-driven decision-making, operations research/management, causal inference, algorithmic fairness/equity angelamzhou.github.io
@yisongyue.bsky.social
AI professor at Caltech. General Chair ICLR 2025. http://www.yisongyue.com
@gokul.dev
PhD student at @cmurobotics.bsky.social working on interactive learning from implicit human feedback (e.g. imitation/RLHF). no model is an island. https://gokul.dev/.
@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/
@sbubeck.bsky.social
I work on AI at OpenAI. Former VP AI and Distinguished Scientist at Microsoft.
@pitchdropnow.bsky.social
@supermeyn.bsky.social
bsky's suggestion in 2024: Artist, dog lover, avid reader! Geeky side, see here: https://meyn.ece.ufl.edu/ Adore nature in N. Florida, such as the cute bison that serves as my bsky photo I care about human beings, which means I'm a crazy radical!
@yinglunzhu.bsky.social
Assistant Prof @ UC Riverside. Research on Efficient ML, RL, and LLMs. CS PhD @ UW Madison. yinglunz.com
@cevherlions.bsky.social
Associate Professor of Electrical Engineering, EPFL. Amazon Scholar (AGI Foundations). IEEE Fellow. ELLIS Fellow.
@claireve.bsky.social
Group Leader in Tübingen, Germany I’m 🇫🇷 and I work on RL and lifelong learning. Mostly posting on ML related topics.
@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.
@andrewgwils.bsky.social
Machine Learning Professor https://cims.nyu.edu/~andrewgw
@shamkakade.bsky.social
Harvard Professor. ML and AI. Co-director of the Kempner Institute. https://shamulent.github.io
@adamian.bsky.social
@kallus.bsky.social
🏳️🌈👨👨👧👦 interested in causal inference, experimentation, optimization, RL, statML, econML, fairness Cornell & Netflix www.nathankallus.com
@angelahzyuan.bsky.social
Research Scientist at ByteDance. Ex @UCLA, @PKU AI4Science, Diffusion Models, Optimizers, RL, LLM
@antoine-mln.bsky.social
doing a phd in RL/online learning on questions related to exploration and adaptivity > https://antoine-moulin.github.io/
@onnoeberhard.com
PhD Student in Tübingen (MPI-IS & Uni Tü), interested in reinforcement learning. Ex research intern at Google Research. https://onnoeberhard.com/
@florentdelgrange.bsky.social
postdoc @ ai lab, Vrije Universiteit Brussel working on providing reliable and verifiable ai mechanisms #RL & formal methods delgrange.me
@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
@mircomutti.bsky.social
Reinforcement learning, but without rewards. Postdoc at the Technion. PhD from Politecnico di Milano. https://muttimirco.github.io
@sikatasengupta.bsky.social
cs phd @upenn advised by Michael Kearns, Aaron Roth, and Duncan Watts| previously @stanford | she/her https://psamathe50.github.io/sikatasengupta/
@marcelhussing.bsky.social
PhD student at the University of Pennsylvania. Currently, intern at MSR. Interested in reliable and replicable reinforcement learning and using it for knowledge discovery: https://marcelhussing.github.io/ All posts are my own.
@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
@gioramponi.bsky.social
Assistant Professor at UZH, group leader of the ALPILab 🌼 Working on RL, multi-agent, imitation learning, and other sequential decision-making stuff
@aldopacchiano.bsky.social
AI research at Broad Institute and Boston University. Reinforcement Learning / Bandits / Experiment Design Mexicano 🇲🇽
@ricczamboni.bsky.social
PhD student @polimi | Reinforcement Learning @rl3polimi | I do stuff, I see stuff. Some with purpose, most by chance. https://ricczamboni.github.io
@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
@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
@joshtenenbaum.bsky.social
Computational cognitive scientist @ MIT, reverse engineering the mind and engineering more human intelligence in machines.
@xuanalogue.bsky.social
PhD Student. MIT ProbComp / CoCoSci. Inverting Bayesian models of human reasoning and decision-making. Pronouns: 祂/伊
@yoavgo.bsky.social
@phillipisola.bsky.social
Associate Professor in EECS at MIT. Neural nets, generative models, representation learning, computer vision, robotics, cog sci, AI. https://web.mit.edu/phillipi/
@alexirpan.bsky.social
Research Scientist @ Google DeepMind. Formerly Robotics, now AI Safety. Has a blog. Views are my own.
@leon-lang.bsky.social
PhD Candidate at the University of Amsterdam. AI Alignment and safety research. Formerly multivariate information theory and equivariant deep learning. Masters degrees in both maths and AI. https://langleon.github.io/
@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
@shinjiw.bsky.social
I'm working at CMU (2021-). I was working at NTT (2001-2011), MERL (2012-2017), and JHU (2017-2020). Speech and Audio Processing is my main research topic.