Skip to yearly menu bar Skip to main content


Search All 2022 Events
 

9 Results

<<   <   Page 1 of 1   >>   >
Workshop
Posterior samples of source galaxies in strong gravitational lenses with score-based priors
Alexandre Adam · Adam Coogan · Nikolay Malkin · Ronan Legin · Laurence Perreault-Levasseur · Yashar Hezaveh · Yoshua Bengio
Workshop
Sat 13:00 Contributed talk: Alexandre Adam, "Posterior samples of source galaxies in strong gravitational lenses with score-based priors"
Alexandre Adam · Siddharth Mishra-Sharma
Poster
Wed 9:00 Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks
Agustinus Kristiadi · Runa Eschenhagen · Philipp Hennig
Workshop
An Empirical Evaluation of Posterior Sampling for Constrained Reinforcement Learning
Danil Provodin · Pratik Gajane · Mykola Pechenizkiy · Maurits Kaptein
Workshop
An Empirical Evaluation of Posterior Sampling for Constrained Reinforcement Learning
Danil Provodin · Pratik Gajane · Mykola Pechenizkiy · Maurits Kaptein
Poster
Wed 14:00 Thompson Sampling Efficiently Learns to Control Diffusion Processes
Mohamad Kazem Shirani Faradonbeh · Mohamad Sadegh Shirani Faradonbeh · Mohsen Bayati
Poster
Wed 9:00 Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guarantees
Daniil Tiapkin · Denis Belomestny · Daniele Calandriello · Eric Moulines · Remi Munos · Alexey Naumov · Mark Rowland · Michal Valko · Pierre Ménard
Poster
Tue 14:00 On the inability of Gaussian process regression to optimally learn compositional functions
Matteo Giordano · Kolyan Ray · Johannes Schmidt-Hieber
Poster
Wed 9:00 Model-based RL with Optimistic Posterior Sampling: Structural Conditions and Sample Complexity
Alekh Agarwal · Tong Zhang