2 citations · 2 across the 6 of their papers we have counts for
7 papers
Closed-Form Last Layer Optimization
Alexandre Galashov, Nathaël Da Costa, Liyuan Xu +2
Neural networks are typically optimized with variants of stochastic gradient descent. Under a squared loss, however, the optimal solution to the linear last layer weights is known…
Density Ratio-Free Doubly Robust Proxy Causal Learning
Bariscan Bozkurt, Houssam Zenati, Dimitri Meunier +2
We study the problem of causal function estimation in the Proxy Causal Learning (PCL) framework, where confounders are not observed but proxies for the confounders are available. T…
Density Ratio-based Proxy Causal Learning Without Density Ratios
Bariscan Bozkurt, Ben Deaner, Dimitri Meunier +2
We address the setting of Proxy Causal Learning (PCL), which has the goal of estimating causal effects from observed data in the presence of hidden confounding. Proxy methods accom…
Kernel Single Proxy Control for Deterministic Confounding
Liyuan Xu, Arthur Gretton
We consider the problem of causal effect estimation with an unobserved confounder, where we observe a single proxy variable that is associated with the confounder. Although it has…
A Neural Mean Embedding Approach for Back-door and Front-door Adjustment
Liyuan Xu, Arthur Gretton
We consider the estimation of average and counterfactual treatment effects, under two settings: back-door adjustment and front-door adjustment. The goal in both cases is to recover…
Sequential Kernel Embedding for Mediated and Time-Varying Dose Response Curves
Rahul Singh, Liyuan Xu, Arthur Gretton
We propose simple nonparametric estimators for mediated and time-varying dose response curves based on kernel ridge regression. By embedding Pearl's mediation formula and Robins' g…
Kernel Methods for Causal Functions: Dose, Heterogeneous, and Incremental Response Curves
Rahul Singh, Liyuan Xu, Arthur Gretton
We propose estimators based on kernel ridge regression for nonparametric causal functions such as dose, heterogeneous, and incremental response curves. Treatment and covariates may…