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06/13/2023
Oracle-Efficient Pessimism: Offline Policy Optimization in Contextual Bandits
We consider policy optimization in contextual bandits, where one is give...
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05/30/2022
Fairness in the First Stage of Two-Stage Recommender Systems
Many large-scale recommender systems consist of two stages, where the fi...
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02/02/2022
Improving Screening Processes via Calibrated Subset Selection
Many selection processes such as finding patients qualifying for a medic...
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01/28/2022
Provably Improving Expert Predictions with Conformal Prediction
Automated decision support systems promise to help human experts solve t...
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03/03/2021
Fairness of Exposure in Stochastic Bandits
Contextual bandit algorithms have become widely used for recommendation ...
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10/04/2020
Fairness and Diversity for Rankings in Two-Sided Markets
Ranking items by their probability of relevance has long been the goal o...
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09/28/2019
Integrated Triaging for Fast Reading Comprehension
Although according to several benchmarks automatic machine reading compr...
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02/28/2019
FastFusionNet: New State-of-the-Art for DAWNBench SQuAD
In this technical report, we introduce FastFusionNet, an efficient varia...
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11/06/2018
CAB: Continuous Adaptive Blending Estimator for Policy Evaluation and Learning
The ability to perform offline A/B-testing and off-policy learning using...
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05/22/2018