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03/22/2023
Robust Consensus in Ranking Data Analysis: Definitions, Properties and Computational Issues
As the issue of robustness in AI systems becomes vital, statistical lear...
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01/06/2022
Jointly Efficient and Optimal Algorithms for Logistic Bandits
Logistic Bandits have recently undergone careful scrutiny by virtue of t...
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07/31/2021
Pure Exploration and Regret Minimization in Matching Bandits
Finding an optimal matching in a weighted graph is a standard combinator...
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03/09/2021
Regret Bounds for Generalized Linear Bandits under Parameter Drift
Generalized Linear Bandits (GLBs) are powerful extensions to the Linear ...
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11/19/2020
Wasserstein Learning of Determinantal Point Processes
Determinantal point processes (DPPs) have received significant attention...
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11/18/2020
Learning in repeated auctions
Auction theory historically focused on the question of designing the bes...
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10/23/2020
Instance-Wise Minimax-Optimal Algorithms for Logistic Bandits
Logistic Bandits have recently attracted substantial attention, by provi...
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10/20/2020
Real-Time Optimisation for Online Learning in Auctions
In display advertising, a small group of sellers and bidders face each o...
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07/03/2020
Do Not Mask What You Do Not Need to Mask: a Parser-Free Virtual Try-On
The 2D virtual try-on task has recently attracted a great interest from ...
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02/18/2020
Improved Optimistic Algorithms for Logistic Bandits
The generalized linear bandit framework has attracted a lot of attention...
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06/21/2019
Embedding models for recommendation under contextual constraints
Embedding models, which learn latent representations of users and items ...
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05/29/2019
Robust Stackelberg buyers in repeated auctions
We consider the practical and classical setting where the seller is usin...
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01/31/2019
Improving Evolutionary Strategies with Generative Neural Networks
Evolutionary Strategies (ES) are a popular family of black-box zeroth-or...
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10/09/2018
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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08/21/2018
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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05/22/2018
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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05/01/2018
Explicit shading strategies for repeated truthful auctions
With the increasing use of auctions in online advertising, there has bee...
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01/22/2018