Hu, Robert

8 publications

JMLR 2024 A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment Robert Hu, Dino Sejdinovic, Robin J. Evans

TMLR 2024 Doubly Robust Kernel Statistics for Testing Distributional Treatment Effects Jake Fawkes, Robert Hu, Robin J. Evans, Dino Sejdinovic

AISTATS 2022 Survival Regression with Proper Scoring Rules and Monotonic Neural Networks David Rindt, Robert Hu, David Steinsaltz, Dino Sejdinovic

NeurIPS 2022 Explaining Preferences with Shapley Values Robert Hu, Siu Lun Chau, Jaime Ferrando Huertas, Dino Sejdinovic

NeurIPS 2022 Generalized Variational Inference in Function Spaces: Gaussian Measures Meet Bayesian Deep Learning Veit David Wild, Robert Hu, Dino Sejdinovic

NeurIPS 2022 Giga-Scale Kernel Matrix-Vector Multiplication on GPU Robert Hu, Siu Lun Chau, Dino Sejdinovic, Joan Glaunès

MLJ 2022 Large Scale Tensor Regression Using Kernels and Variational Inference Robert Hu, Geoff K. Nicholls, Dino Sejdinovic

NeurIPS 2022 RKHS-SHAP: Shapley Values for Kernel Methods Siu Lun Chau, Robert Hu, Javier González, Dino Sejdinovic