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Robert Hu
Robert Hu
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Survival regression with proper scoring rules and monotonic neural networks
D Rindt*, R Hu*, D Steinsaltz, D Sejdinovic (*denotes equal contribution)
International Conference on Artificial Intelligence and Statistics, 1190-1205, 2022
432022
RKHS-SHAP: Shapley Values for Kernel Methods
SL Chau, R Hu, J Gonzalez, D Sejdinovic
NeurIPS 2022, 2021
282021
Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning
VD Wild*, R Hu*, D Sejdinovic (*denotes equal contribution)
NeurIPS 2022, 2022
192022
Explaining Preferences with Shapley Values
R Hu*, SL Chau*, JF Huertas, D Sejdinovic (*denotes equal contribution)
NeurIPS 2022, 2022
92022
Doubly Robust Kernel Statistics for Testing Distributional Treatment Effects Even Under One Sided Overlap
J Fawkes, R Hu, RJ Evans, D Sejdinovic
TMLR, 2022
52022
Large scale tensor regression using kernels and variational inference
R Hu, GK Nicholls, D Sejdinovic
Machine Learning, 1-51, 2022
32022
A kernel test for causal association via noise contrastive backdoor adjustment
R Hu, D Sejdinovic, RJ Evans
Journal of Machine Learning Research 25 (160), 1--56, 2024
22024
Giga-scale Kernel Matrix Vector Multiplication on GPU
R Hu, SL Chau, D Sejdinovic, JA Glaunès
NeurIPS 2022, 2022
22022
Towards Deep Interpretable Features
R Hu, D Sejdinovic
Journal of Computational Mathematics and Data Science 6, 100067, 2023
12023
Robust Deep Interpretable Features for Binary Image Classification
R Hu, S Dino
Proceedings of the Northern Lights Deep Learning Workshop, 2021
12021
Large scale methods for kernels, causal inference and survival modelling
R Hu
University of Oxford, 2022
2022
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