Active Learning/Sampling and BOED
Data Subset Selection and (Bayesian) Experimental Design
Created by
@blackhc.bsky.social
@timrudner.bsky.social
Assistant Professor & Faculty Fellow, NYU. AI Fellow, Georgetown University. Probabilistic methods for robust and transparent ML & AI Governance. Prev: Oxford, Yale, UC Berkeley. https://timrudner.com
@yaringal.bsky.social
Associate Professor of Machine Learning, University of Oxford; OATML Group Leader; Director of Research at the UK government's AI Safety Institute (formerly UK Taskforce on Frontier AI)
@schwarzjn.bsky.social
Foundational Research Lead @ Thomson Reuters | Advisor @ UK AISI | ex- Fellow @ Harvard, ex- Senior RS @ GoogleDeepMind | PhD @ UCL / Gatsby Unit 🇬🇧🇩🇪🇺🇲🇭🇰 https://jonathan-schwarz.github.io/
@brandfonbrener.bsky.social
Research scientist at Meta on the llama team Thinking about language models Past: PhD at NYU, fellow at Harvard’s Kempner Institute
@anndvision.bsky.social
@nmervegurel.bsky.social
Assistant Professor in Computer Science Research in ML robustness, reliability and reasoning PhD from ETH Zurich🇨🇭 Executive Editor of DMLR Journal Organizing Committee NeurIPS and ICLR
@desirivanova.bsky.social
Research fellow @OxfordStats @OxCSML, spent time at FAIR and MSR Former quant 📈 (@GoldmanSachs), former former gymnast 🤸♀️ My opinions are my own 🇧🇬-🇬🇧 sh/ssh
@dholzmueller.bsky.social
Postdoc in machine learning with Francis Bach & @GaelVaroquaux: neural networks, tabular data, uncertainty, active learning, atomistic ML, learning theory. https://dholzmueller.github.io
@blackhc.bsky.social
My opinions only here. 👨🔬 RS DeepMind Past: 👨🔬 R Midjourney 1y 🧑🎓 DPhil AIMS Uni of Oxford 4.5y 🧙♂️ RE DeepMind 1y 📺 SWE Google 3y 🎓 TUM 👤 @nwspk