Christopher Nemeth - Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates
1:00:36
David Duvenaud - A farewell to GPs: A roadmap for ultra-scalable simulation and inference in SPDEs
1:11:32
Noémie Jaquier - Bayesian optimization on Riemannian manifolds for robot learning
54:03
AI Agents in Web3: The $1 Billion Opportunity You Can't Miss with Alpaca Network | LP Roundtable E9
1:03:20
Luigi Nardi - Harnessing new information in Bayesian optimization
56:19
MIT 6.S191: Deep Generative Modeling
1:01:05
Ilija Bogunovic - From Data to Confident Decisions: Robust and Efficient Algorithmic Decision Making
49:33
CAIDA Talk - December 16, 2024 - James Requeima
1:00:22