research
∙
07/25/2023
Source Condition Double Robust Inference on Functionals of Inverse Problems
We consider estimation of parameters defined as linear functionals of so...
share
research
∙
02/10/2023
Minimax Instrumental Variable Regression and L_2 Convergence Guarantees without Identification or Closedness
In this paper, we study nonparametric estimation of instrumental variabl...
research
∙
10/26/2022
Provable Safe Reinforcement Learning with Binary Feedback
Safety is a crucial necessity in many applications of reinforcement lear...
research
∙
07/26/2022
Future-Dependent Value-Based Off-Policy Evaluation in POMDPs
We study off-policy evaluation (OPE) for partially observable MDPs (POMD...
research
∙
02/16/2022
Where the Model Frequently Meets the Road: Combining Statistical, Formal, and Case Study Methods
This paper analyzes the working or default assumptions researchers in th...
research
∙
10/28/2021
Proximal Reinforcement Learning: Efficient Off-Policy Evaluation in Partially Observed Markov Decision Processes
In applications of offline reinforcement learning to observational data,...
research
∙
05/21/2021
Have you tried Neural Topic Models? Comparative Analysis of Neural and Non-Neural Topic Models with Application to COVID-19 Twitter Data
Topic models are widely used in studying social phenomena. We conduct a ...
research
∙
12/17/2020
The Variational Method of Moments
The conditional moment problem is a powerful formulation for describing ...
research
∙
07/27/2020
Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders
Off-policy evaluation (OPE) in reinforcement learning is an important pr...
research
∙
02/12/2020
Efficient Policy Learning from Surrogate-Loss Classification Reductions
Recent work on policy learning from observational data has highlighted t...
research
∙
08/06/2019
Policy Evaluation with Latent Confounders via Optimal Balance
Evaluating novel contextual bandit policies using logged data is crucial...
research
∙
05/29/2019
Deep Generalized Method of Moments for Instrumental Variable Analysis
Instrumental variable analysis is a powerful tool for estimating causal ...
research
∙
09/04/2018
Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction
We propose to decompose instruction execution to goal prediction and act...
research
∙
05/31/2018
