Lam, Thanh

4 publications

NeurIPS 2023 Model Shapley: Equitable Model Valuation with Black-Box Access Xinyi Xu, Thanh Lam, Chuan Sheng Foo, Bryan Kian Hsiang Low

TMLR 2023 On Average-Case Error Bounds for Kernel-Based Bayesian Quadrature Xu Cai, Thanh Lam, Jonathan Scarlett

ICLR 2023 Risk-Aware Reinforcement Learning with Coherent Risk Measures and Non-Linear Function Approximation Thanh Lam, Arun Verma, Bryan Kian Hsiang Low, Patrick Jaillet

ICML 2020 Learning Task-Agnostic Embedding of Multiple Black-Box Experts for Multi-Task Model Fusion Nghia Hoang, Thanh Lam, Bryan Kian Hsiang Low, Patrick Jaillet