research
∙
08/08/2023
Kernel Single Proxy Control for Deterministic Confounding
We consider the problem of causal effect estimation with an unobserved c...
share
research
∙
10/12/2022
A Neural Mean Embedding Approach for Back-door and Front-door Adjustment
We consider the estimation of average and counterfactual treatment effec...
research
∙
02/05/2022
Importance Weighting Approach in Kernel Bayes' Rule
We study a nonparametric approach to Bayesian computation via feature me...
research
∙
11/06/2021
Kernel Methods for Multistage Causal Inference: Mediation Analysis and Dynamic Treatment Effects
We propose kernel ridge regression estimators for mediation analysis and...
research
∙
06/07/2021
Deep Proxy Causal Learning and its Application to Confounded Bandit Policy Evaluation
Proxy causal learning (PCL) is a method for estimating the causal effect...
research
∙
05/21/2021
On Instrumental Variable Regression for Deep Offline Policy Evaluation
We show that the popular reinforcement learning (RL) strategy of estimat...
research
∙
10/14/2020
Learning Deep Features in Instrumental Variable Regression
Instrumental variable (IV) regression is a standard strategy for learnin...
research
∙
10/10/2020
Kernel Methods for Policy Evaluation: Treatment Effects, Mediation Analysis, and Off-Policy Planning
We propose a novel framework for non-parametric policy evaluation in sta...
research
∙
06/11/2020
Similarity-based Classification: Connecting Similarity Learning to Binary Classification
In real-world classification problems, pairwise supervision (i.e., a pai...
research
∙
05/31/2019
Uncoupled Regression from Pairwise Comparison Data
Uncoupled regression is the problem to learn a model from unlabeled data...
research
∙
02/27/2019
Polynomial-time Algorithms for Combinatorial Pure Exploration with Full-bandit Feedback
We study the problem of stochastic combinatorial pure exploration (CPE),...
research
∙
09/15/2018
Alternate Estimation of a Classifier and the Class-Prior from Positive and Unlabeled Data
We consider a problem of learning a binary classifier only from positive...
research
∙
09/14/2018
Dueling Bandits with Qualitative Feedback
We formulate and study a novel multi-armed bandit problem called the qua...
research
∙
10/16/2017
