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08/03/2023
Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning
Multitask learning is a powerful framework that enables one to simultane...
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02/16/2023
Linear Bandits with Memory: from Rotting to Rising
Nonstationary phenomena, such as satiation effects in recommendation, ar...
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11/01/2022
On Medians of (Randomized) Pairwise Means
Tournament procedures, recently introduced in Lugosi Mendelson (2016...
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05/31/2022
AdaTask: Adaptive Multitask Online Learning
We introduce and analyze AdaTask, a multitask online learning algorithm ...
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10/22/2021
Break your Bandit Routine with LSD Rewards: a Last Switch Dependent Analysis of Satiation and Seasonality
Motivated by the fact that humans like some level of unpredictability or...
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09/06/2021
Visual Recognition with Deep Learning from Biased Image Datasets
In practice, and more especially when training deep neural networks, vis...
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06/04/2021
Multitask Online Mirror Descent
We introduce and analyze MT-OMD, a multitask generalization of Online Mi...
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06/18/2020
When OT meets MoM: Robust estimation of Wasserstein Distance
Issued from Optimal Transport, the Wasserstein distance has gained impor...
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06/09/2020
How Robust is the Median-of-Means? Concentration Bounds in Presence of Outliers
In contrast to the empirical mean, the Median-of-Means (MoM) is an estim...
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10/10/2019
On the Dualization of Operator-Valued Kernel Machines
Operator-Valued Kernels (OVKs) and Vector-Valued Reproducing Kernel Hilb...
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06/28/2019
Statistical Learning from Biased Training Samples
With the deluge of digitized information in the Big Data era, massive da...
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05/28/2018