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4 papers · 2 filters
Solving Bernoulli Rank-One Bandits with Unimodal Thompson Sampling
Cindy Trinh, Emilie Kaufmann, Claire Vernade +1
Stochastic Rank-One Bandits (Katarya et al, (2017a,b)) are a simple framework for regret minimization problems over rank-one matrices of arms. The initially proposed algorithms are…
A Causal Bayesian Networks Viewpoint on Fairness
Silvia Chiappa, William S. Isaac
We offer a graphical interpretation of unfairness in a dataset as the presence of an unfair causal path in the causal Bayesian network representing the data-generation mechanism. W…
Degenerate Feedback Loops in Recommender Systems
Ray Jiang, Silvia Chiappa, Tor Lattimore +2
Machine learning is used extensively in recommender systems deployed in products. The decisions made by these systems can influence user beliefs and preferences which in turn affec…
Optimistic optimization of a Brownian
Jean-Bastien Grill, Michal Valko, Rémi Munos
We address the problem of optimizing a Brownian motion. We consider a (random) realization of a Brownian motion with input space in . Given , our goal is to return an…