research
∙
08/27/2023
Distributional Off-Policy Evaluation for Slate Recommendations
Recommendation strategies are typically evaluated by using previously lo...
share
research
∙
07/20/2023
FigCaps-HF: A Figure-to-Caption Generative Framework and Benchmark with Human Feedback
Captions are crucial for understanding scientific visualizations and doc...
research
∙
12/22/2022
Local Policy Improvement for Recommender Systems
Recommender systems aim to answer the following question: given the item...
research
∙
06/15/2021
Control Variates for Slate Off-Policy Evaluation
We study the problem of off-policy evaluation from batched contextual ba...
research
∙
01/18/2021
Sequential causal inference in a single world of connected units
We consider adaptive designs for a trial involving N individuals that we...
research
∙
01/05/2021
Off-Policy Evaluation of Slate Policies under Bayes Risk
We study the problem of off-policy evaluation for slate bandits, for the...
research
∙
12/12/2020
On Proximal Causal Learning with Many Hidden Confounders
We generalize the proximal g-formula of Miao, Geng, and Tchetgen Tchetge...
research
∙
12/13/2019
More Efficient Off-Policy Evaluation through Regularized Targeted Learning
We study the problem of off-policy evaluation (OPE) in Reinforcement Lea...
research
∙
02/26/2018
Optimizing over a Restricted Policy Class in Markov Decision Processes
We address the problem of finding an optimal policy in a Markov decision...
research
∙
11/21/2017
Posterior Sampling for Large Scale Reinforcement Learning
Posterior sampling for reinforcement learning (PSRL) is a popular algori...
research
∙
11/30/2016
Low-dimensional Data Embedding via Robust Ranking
We describe a new method called t-ETE for finding a low-dimensional embe...
research
∙
07/02/2016
Approximate Joint Matrix Triangularization
We consider the problem of approximate joint triangularization of a set ...
research
∙
10/31/2011
