Very excited about this tutorial at #AAAI2025 on inducing privacy, fairness or robustness to distribution shifts when data is imperfect (e.g. unlabeled, noisy)! You can check out the slides at amartya18x.github.io/files/Tutori...
25.02.2025 12:42 — 👍 1 🔁 0 💬 0 📌 0
Sr. Principal Research Manager at Microsoft Research, NYC // Machine Learning, Responsible AI, Transparency, Intelligibility, Human-AI Interaction // WiML Co-founder // Former NeurIPS & current FAccT Program Co-chair // Brooklyn, NY // http://jennwv.com
messing up with gaussians
Senior Staff Research Scientist @Google DeepMind, previously Stats Prof @Oxford Uni - interested in Computational Statistics, Generative Modeling, Monte Carlo methods, Optimal Transport.
Research Scientist at Google DeepMind, interested in multiagent reinforcement learning, game theory, games, and search/planning.
Lover of Linux 🐧, coffee ☕, and retro gaming. Big fan of open-source. #gohabsgo 🇨🇦
For more info: https://linktr.ee/sharky6000
Foundations of AI. I like simple and minimal examples and creative ideas. I also like thinking about the next token 🧮🧸
Google Research | PhD, CMU |
https://arxiv.org/abs/2504.15266 | https://arxiv.org/abs/2403.06963
vaishnavh.github.io
A nice little email for people from Earth.
Where the future begins. 🚀🔬 One of the world’s leading universities for technology & natural sciences. Posts in both English and German.
www.ethz.ch
Prof. at TU Dortmund and RC Trust | Chair for Causality | Research on Causality, Machine Learning and Information Theory | Prev. ETH Zürich, ETH AI Center, CISPA and MPI for Informatics | Website: https://www.a-marx.com
PhD student at the Max Planck Institute for Intelligent Systems
https://beomri.github.io/
PhD student in CS @ ETHZ / MPI-IS
Theory of ML evaluation https://flodorner.github.io/
Algorithm Auditing | CS PhD student @ INRIA/IRISA/PEReN | Visiting UofT @ CleverHans Lab !
A LLN - large language Nathan - (RL, RLHF, society, robotics), athlete, yogi, chef
Writes http://interconnects.ai
At Ai2 via HuggingFace, Berkeley, and normal places
Making AI safer at Google DeepMind
davidlindner.me
Staff Research Scientist at Google DeepMind, building Gemini
Institute Professor, MIT Economics. Co-Director of @mitshapingwork.bsky.social. Author of Why Nations Fail, The Narrow Corridor, and Power & Progress.
San Diego Dec 2-7, 25 and Mexico City Nov 30-Dec 5, 25. Comments to this account are not monitored. Please send feedback to townhall@neurips.cc.
Sr Research Scientist at Google DeepMind, Toronto. Member, Mila. Adjunct, McGill CS. PhD Machine Learning & MASt Applied Math (Cambridge), BSc Math (Warwick). gkdz.org
Research Scientist at @GoogleDeepMind. Past: PhD at EPFL, intern at Google, ELLIS student Oxford
