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Robert Hu
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2020 – today
- 2024
- [j6]Robert Hu, Dino Sejdinovic, Robin J. Evans:
A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment. J. Mach. Learn. Res. 25: 160:1-160:56 (2024) - [j5]Jake Fawkes, Robert Hu, Robin J. Evans, Dino Sejdinovic:
Doubly Robust Kernel Statistics for Testing Distributional Treatment Effects. Trans. Mach. Learn. Res. 2024 (2024) - 2022
- [j4]Robert Hu
, Geoff K. Nicholls
Large scale tensor regression using kernels and variational inference. Mach. Learn. 111(7): 2663-2713 (2022) - [c6]David Rindt, Robert Hu, David Steinsaltz, Dino Sejdinovic:
Survival regression with proper scoring rules and monotonic neural networks. AISTATS 2022: 1190-1205 - [c5]Siu Lun Chau, Robert Hu, Javier González, Dino Sejdinovic:
RKHS-SHAP: Shapley Values for Kernel Methods. NeurIPS 2022 - [c4]Robert Hu, Siu Lun Chau, Jaime Ferrando Huertas, Dino Sejdinovic:
Explaining Preferences with Shapley Values. NeurIPS 2022 - [c3]Robert Hu, Siu Lun Chau, Dino Sejdinovic, Joan Glaunès:
Giga-scale Kernel Matrix-Vector Multiplication on GPU. NeurIPS 2022 - [c2]Veit D. Wild, Robert Hu, Dino Sejdinovic:
Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning. NeurIPS 2022 - [i6]Robert Hu, Dino Sejdinovic, Joan Alexis Glaunès:
Giga-scale Kernel Matrix Vector Multiplication on GPU. CoRR abs/2202.01085 (2022) - [i5]Veit D. Wild, Robert Hu, Dino Sejdinovic:
Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning. CoRR abs/2205.06342 (2022) - [i4]Robert Hu, Siu Lun Chau, Jaime Ferrando Huertas, Dino Sejdinovic:
Explaining Preferences with Shapley Values. CoRR abs/2205.13662 (2022) - [i3]Jake Fawkes, Robert Hu, Robin J. Evans, Dino Sejdinovic:
Doubly Robust Kernel Statistics for Testing Distributional Treatment Effects Even Under One Sided Overlap. CoRR abs/2212.04922 (2022) - 2021
- [c1]Robert Hu
Robust Deep Interpretable Features for Binary Image Classification. NLDL 2021 - [i2]David Rindt, Robert Hu, David Steinsaltz, Dino Sejdinovic:
Time-to-event regression using partially monotonic neural networks. CoRR abs/2103.14755 (2021) - 2020
- [i1]Robert Hu, Geoff K. Nicholls, Dino Sejdinovic:
Large Scale Tensor Regression using Kernels and Variational Inference. CoRR abs/2002.04704 (2020)
2010 – 2019
- 2019
- [j3]Ching-Ying Huang
Analysis of wide-IF-band 65 nm-CMOS mixer for 77-110 GHz radio-astronomical receiver design. IET Circuits Devices Syst. 13(3): 406-413 (2019) - [j2]Ching-Ying Huang
IL analysis for 8-way power combining network in 77-110 GHz 40 nm-complementary metal-oxide-semiconductor PA design. IET Circuits Devices Syst. 13(8): 1181-1186 (2019) - [j1]Ching-Ying Huang
Analysis and design of wideband active power splitter with interleaf transmission line topology. IET Circuits Devices Syst. 13(8): 1262-1266 (2019)
Coauthor Index
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