Robert Hu

According to our database, Robert Hu authored at least 13 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Large scale tensor regression using kernels and variational inference.

Robert Hu, Geoff K. Nicholls, Dino Sejdinovic

Mach. Learn., 2022

Doubly Robust Kernel Statistics for Testing Distributional Treatment Effects Even Under One Sided Overlap.

Jake Fawkes, Robert Hu, Robin J. Evans, Dino Sejdinovic

CoRR, 2022

Giga-scale Kernel Matrix Vector Multiplication on GPU.

Robert Hu, Dino Sejdinovic, Joan Alexis Glaunès

CoRR, 2022

Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning.

Veit D. Wild, Robert Hu, Dino Sejdinovic

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Giga-scale Kernel Matrix-Vector Multiplication on GPU.

Robert Hu, Siu Lun Chau, Dino Sejdinovic, Joan Glaunès

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Explaining Preferences with Shapley Values.

Robert Hu, Siu Lun Chau, Jaime Ferrando Huertas, Dino Sejdinovic

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

RKHS-SHAP: Shapley Values for Kernel Methods.

Siu Lun Chau, Robert Hu, Javier González, Dino Sejdinovic

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Survival regression with proper scoring rules and monotonic neural networks.

David Rindt, Robert Hu, David Steinsaltz, Dino Sejdinovic

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Time-to-event regression using partially monotonic neural networks.

David Rindt, Robert Hu, David Steinsaltz, Dino Sejdinovic

CoRR, 2021

Robust Deep Interpretable Features for Binary Image Classification.

Robert Hu, Dino Sejdinovic

Proceedings of the 2021 Northern Lights Deep Learning Workshop, 2021

2019

IL analysis for 8-way power combining network in 77-110 GHz 40 nm-complementary metal-oxide-semiconductor PA design.

Ching-Ying Huang, Pin-Hsuan Wu, Kun-Long Wu, Robert Hu, Chi-Yang Chang

IET Circuits Devices Syst., 2019

Analysis of wide-IF-band 65 nm-CMOS mixer for 77-110 GHz radio-astronomical receiver design.

Ching-Ying Huang, Kun-Long Wu, Robert Hu, Chi-Yang Chang

IET Circuits Devices Syst., 2019

Analysis and design of wideband active power splitter with interleaf transmission line topology.

Ching-Ying Huang, Robert Hu, Dow-Chi Niu, Chi-Yang Chang

IET Circuits Devices Syst., 2019