3 citations · 11 across the 8 of their papers we have counts for
4 papers · 1 filter
Asymptotically Optimal Regret for Black-Box Predict-then-Optimize
Samuel Tan, Peter I. Frazier
We consider the predict-then-optimize paradigm for decision-making in which a practitioner (1) trains a supervised learning model on historical data of decisions, contexts, and rew…
qEUBO: A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization
Raul Astudillo, Zhiyuan Jerry Lin, Eytan Bakshy +1
Preferential Bayesian optimization (PBO) is a framework for optimizing a decision maker's latent utility function using preference feedback. This work introduces the expected utili…
Bayesian Optimization of Function Networks
Raul Astudillo, Peter I. Frazier
We consider Bayesian optimization of the output of a network of functions, where each function takes as input the output of its parent nodes, and where the network takes significan…
A Markov Decision Process Analysis of the Cold Start Problem in Bayesian Information Filtering
Xiaoting Zhao, Peter I. Frazier
We consider the information filtering problem, in which we face a stream of items, and must decide which ones to forward to a user to maximize the number of relevant items shown, m…