
Pure Exploration and Regret Minimization in Matching Bandits
Finding an optimal matching in a weighted graph is a standard combinator...
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Regret Bounds for Generalized Linear Bandits under Parameter Drift
Generalized Linear Bandits (GLBs) are powerful extensions to the Linear ...
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Wasserstein Learning of Determinantal Point Processes
Determinantal point processes (DPPs) have received significant attention...
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Learning in repeated auctions
Auction theory historically focused on the question of designing the bes...
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InstanceWise MinimaxOptimal Algorithms for Logistic Bandits
Logistic Bandits have recently attracted substantial attention, by provi...
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RealTime Optimisation for Online Learning in Auctions
In display advertising, a small group of sellers and bidders face each o...
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Do Not Mask What You Do Not Need to Mask: a ParserFree Virtual TryOn
The 2D virtual tryon task has recently attracted a great interest from ...
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Improved Optimistic Algorithms for Logistic Bandits
The generalized linear bandit framework has attracted a lot of attention...
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Embedding models for recommendation under contextual constraints
Embedding models, which learn latent representations of users and items ...
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Robust Stackelberg buyers in repeated auctions
We consider the practical and classical setting where the seller is usin...
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Improving Evolutionary Strategies with Generative Neural Networks
Evolutionary Strategies (ES) are a popular family of blackbox zerothor...
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Bridging the gap between regret minimization and best arm identification, with application to A/B tests
State of the art online learning procedures focus either on selecting th...
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Thresholding the virtual value: a simple method to increase welfare and lower reserve prices in online auction systems
Second price auctions with reserve price are widely used by the main Int...
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Neural Generative Models for Global Optimization with Gradients
The aim of global optimization is to find the global optimum of arbitrar...
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Explicit shading strategies for repeated truthful auctions
With the increasing use of auctions in online advertising, there has bee...
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Offline A/B testing for Recommender Systems
Before A/B testing online a new version of a recommender system, it is u...
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Clément Calauzènes
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