research
∙
08/03/2023
Fast Slate Policy Optimization: Going Beyond Plackett-Luce
An increasingly important building block of large scale machine learning...
share
research
∙
10/24/2022
PAC-Bayesian Offline Contextual Bandits With Guarantees
This paper introduces a new principled approach for offline policy optim...
research
∙
09/18/2022
Offline Evaluation of Reward-Optimizing Recommender Systems: The Case of Simulation
Both in academic and industry-based research, online evaluation methods ...
research
∙
08/10/2022
A Scalable Probabilistic Model for Reward Optimizing Slate Recommendation
We introduce Probabilistic Rank and Reward model (PRR), a scalable proba...
research
∙
08/08/2022
Fast Offline Policy Optimization for Large Scale Recommendation
Personalised interactive systems such as recommender systems require sel...
research
∙
11/13/2020
Improving Offline Contextual Bandits with Distributional Robustness
This paper extends the Distributionally Robust Optimization (DRO) approa...
research
∙
08/28/2020
BLOB : A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals
A common task for recommender systems is to build a pro le of the intere...
research
∙
10/02/2019
