Efficient Exploration In Bayesian Optimization - Optimism And Beyond By Andreas Krause

Efficient Exploration in Bayesian Optimization – Optimism and Beyond by Andreas Krause

Google TechTalks

Andreas Krause: "Safe and Efficient Exploration in Reinforcement Learning"

Institute for Pure & Applied Mathematics (IPAM)

Robust Design Discovery and Exploration in Bayesian Optimization

Google TechTalks

Safe and Efficient Exploration in Reinforcement Learning by Andreas Krause

CS Research Week

Andreas Krause (ETH Zuerich): "Safe Exploration in Reinforcement Learning"

MIT Institute for Data, Systems, and Society

Control Meets Learning Seminar by Andreas Krause (ETH) || June 2, 2021

Control Meets Learning

Machine Learning in the Optimization and Discovery Loop with Andreas Krause

Institute for Experiential AI

Bayesian Optimization in the Wild: Risk-Averse Decisions and Budget Constraints

Google TechTalks

2021 3.3 Data efficient Optimization with Bayesian Optimization - Roberto Calandra

Mediterranean Machine Learning (M2L) summer school

Bayesian Optimisation

Quan Nguyen - Bayesian Optimization- Fundamentals, Implementation, and Practice | PyData Global 2022

Roman Garnett - Bayesian Optimization

Tübingen Machine Learning

RLSS 2023 - Model-based Reinforcement Learning - Andreas Krause (presented by Felix Berkenkamp)

Universitat Pompeu Fabra - Barcelona

HIL Bayesian Optimization

Harvard John A. Paulson School of Engineering and Applied Sciences

Patrick Rinke: Active Materials Exploration and Characterization with Bayesian Optimization

TACO: Taming Complexity in Materials Modeling

Safe and Efficient Exploration in Reinforcement Learning

Fields Institute

Maximizing the acquisition function of Bayesian optimization to guaranteed global optimality

Process Intelligence Research