most citedImproving Long-Term Metrics in Recommendation Systems using Short-Horizon Reinforcement Learning

2 citations · 2 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2021★ 2 cited

Improving Long-Term Metrics in Recommendation Systems using Short-Horizon Reinforcement Learning

Bogdan Mazoure, Paul Mineiro, Pavithra Srinath +3

We study session-based recommendation scenarios where we want to recommend items to users during sequential interactions to improve their long-term utility. Optimizing a long-term…

cs.LG2020

Adaptive Estimator Selection for Off-Policy Evaluation

Yi Su, Pavithra Srinath, Akshay Krishnamurthy

We develop a generic data-driven method for estimator selection in off-policy policy evaluation settings. We establish a strong performance guarantee for the method, showing that i…