research
∙
12/09/2022
Doubly Robust Kernel Statistics for Testing Distributional Treatment Effects Even Under One Sided Overlap
As causal inference becomes more widespread the importance of having goo...
share
research
∙
05/26/2022
Explaining Preferences with Shapley Values
While preference modelling is becoming one of the pillars of machine lea...
research
∙
05/12/2022
Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning
We develop a framework for generalized variational inference in infinite...
research
∙
02/02/2022
Giga-scale Kernel Matrix Vector Multiplication on GPU
Kernel matrix-vector multiplication (KMVM) is a foundational operation i...
research
∙
11/25/2021
A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment
Causal inference grows increasingly complex as the number of confounders...
research
∙
03/26/2021
Time-to-event regression using partially monotonic neural networks
We propose a novel method, termed SuMo-net, that uses partially monotoni...
research
∙
02/11/2020