@shamkakade.bsky.social
Harvard Professor. ML and AI. Co-director of the Kempner Institute. https://shamulent.github.io
@sharan-vaswani.bsky.social
Assistant Professor @SFU Computer Science Reinforcement Learning, Optimization
@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
@ccanonne.github.io
Senior Lecturer #USydCompSci at the University of Sydney. Postdocs IBM Research and Stanford; PhD at Columbia. Converts ☕ into puns: sometimes theorems. He/him.
@antoine-mln.bsky.social
doing a phd in RL/online learning on questions related to exploration and adaptivity > https://antoine-moulin.github.io/
@khurramjaved.com
Working on scalable and decentralized algorithms for real-time reinforcement learning. Research scientist @ Keen AGI Prev - PhD with Richard S. Sutton
@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
@bkacsmar.bsky.social
Assistant Professor at the University of Alberta. Amii Fellow. Human-centered privacy enhanced data science e.g., ML, MPC, PSI, etc. My group is PUPS, Practical Usable Privacy and Security Accepting students for Fall 2026 https://bkacsmar.github.io//
@patrickpilarski.bsky.social
Professor and Canada CIFAR AI Chair (Amii) at the University of Alberta, Dept. Medicine, BLINCLab. Corporate director. Previously: office co-lead at DeepMind Alberta. https://pilarski.github.io
@programsynthesis.bsky.social
Assistant Professor - University of Alberta Canada CIFAR AI Chair with Amii Machine Learning and Program Synthesis he/him; ele/dele https://www.cs.ualberta.ca/~santanad
@alonaf.bsky.social
Associate prof @ UAlberta (CS and Psychology) studying language and semantic representations in the brain. TED speaker
@pcastr.bsky.social
Señor swesearcher @ Google DeepMind, adjunct prof at Université de Montréal and Mila. Musician. From 🇪🇨 living in 🇨🇦. https://psc-g.github.io/
@roydanroy.bsky.social
Research Director, Founding Faculty, Canada CIFAR AI Chair @VectorInst. Full Prof @UofT - Statistics and Computer Sci. (x-appt) danroy.org I study assumption-free prediction and decision making under uncertainty, with inference emerging from optimality.
@iclr-conf.bsky.social
International Conference on Learning Representations https://iclr.cc/
@gautamkamath.com
Assistant Prof of CS at the University of Waterloo, Faculty and Canada CIFAR AI Chair at the Vector Institute. Joining NYU Courant in September 2025. Co-EiC of TMLR. My group is The Salon. Privacy, robustness, machine learning. http://www.gautamkamath.com
@rldmdublin2025.bsky.social
The Multi-disciplinary Conference on Reinforcement Learning and Decision Making. 11-14 June 2025. Trinity College Dublin. https://rldm.org/
@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
@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
@marloscmachado.bsky.social
Assistant Professor at the University of Alberta. Amii Fellow, Canada CIFAR AI chair. Machine learning researcher. All things reinforcement learning. 📍 Edmonton, Canada 🇨🇦 🔗 https://webdocs.cs.ualberta.ca/~machado/ 🗓️ Joined November, 2024
@sologen.bsky.social
Research Goal: Understanding the computational and statistical principles required to design AI/RL agents. Associate Professor at Polytechnique Montréal and Mila. 🇨🇦 academic.sologen.net
@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