Edwin V. Bonilla

Generative Bayesian Optimization: Generative Models as Acquisition Functions

Rényi Neural Processes

ProDAG: Projected Variational Inference for Directed Acyclic Graphs

Variational Search Distributions

Thompson Sampling in Function Spaces via Neural Operators

Amortized Active Generation of Pareto Sets

Variational Learning of Fractional Posteriors

Improving Uncertainty Quantification in Large Language Models via Semantic Embeddings

Rényi Neural Processes