2026
Bayesian Ensemble for Sequential Decision-Making
ICLR 2026poster
Ensemble learning is a practical family of methods for uncertainty modeling, particularly useful for sequential decision-making problems like recommendation systems and reinforcement learning tasks. The posterior on likelihood parameters is approximated by sampling an ensemble member from a predeter…