Jonathan Richard Schwarz @ NeurIPS
@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/
I want to reshare @brandfonbrener.bsky.social's @NeurIPSConf 2024 paper on CoLoR-Filter: A simple yet powerful method for selecting high-quality data for language model pre-training! With @hlzhang109.bsky.social @schwarzjn.bsky.social @shamkakade.bsky.social
Had the great pleasure of receiving some particularly special news this week: Over the moon to win the ELLIS PhD Runner-Up Award for my thesis on Sparse Parameterisations For Efficient Machine Learning Algorithms 🎓 Read it here: ➡️ tinyurl.com/mr2cht4f
Sparse Parameterisations For Efficient Machine Learning Algorithms - UCL Discovery
UCL Discovery is UCL's open access repository, showcasing and providing access to UCL research outputs from all UCL disciplines.
tinyurl.com
ELLIS@ellis.eu · 2y agoCongrats to the recipients of the 2024 ELLIS PhD Award! Co-winners: @koloskova.bsky.social (efficiency in decentralized learning) & Luigi Gresele (identifiable representation learning) Runner up: @schwarzjn.bsky.social (sparse parameterizations) Read more about them: bit.ly/4fg4jkg #AI #ML
Had a great time presenting my vision for our new Foundational ML Research Team @ Thomson Reuters to Academics, Startups, Law Firms & Policymakers at recent events in London, NYC, Boston & Paris! 🔬💡 Next stop: @NeurIPS! Check out our sponsorship booth 🇨🇦
Shengzhuang Chen, Jihoon Tack, Yunqiao Yang, Yee Whye Teh, Jonathan Richard Schwarz, Ying Wei Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts https://arxiv.org/abs/2403.08477