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• Federated Bayesian Optimization via Thompson Sampling
  2020 · 42 citations
• Variational Bayesian Unlearning
  2020 · 37 citations
• R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games
  2020 · 16 citations
• Implicit Posterior Variational Inference for Deep Gaussian Processes
  2019 · 15 citations
• Differentially Private Federated Bayesian Optimization with Distributed Exploration
  2021 · 5 citations
• Generalized Maximum Causal Entropy for Inverse Reinforcement Learning
  2019 · 2 citations
• Inverse Reinforcement Learning with Missing Data
  2019 · 2 citations
• A Relation Analysis of Markov Decision Process Frameworks
  2020 · 2 citations
• Federated Neural Bandits
  2022 · 2 citations
• Sample-Then-Optimize Batch Neural Thompson Sampling
  2022 · 2 citations
• Quantum Bayesian Optimization
  2023 · 2 citations
• Efficiency, Feasibility, and Incentive-Awareness in Constrained Online Resource Allocation
  2025
• Convolutional Normalizing Flows for Deep Gaussian Processes
  2021
• Robust Entropy-regularized Markov Decision Processes
  2021
• Weighted Maximum Entropy Inverse Reinforcement Learning
  2022