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09/01/2022
Fair learning with Wasserstein barycenters for non-decomposable performance measures
This work provides several fundamental characterizations of the optimal ...
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03/18/2022
The price of unfairness in linear bandits with biased feedback
Artificial intelligence is increasingly used in a wide range of decision...
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11/16/2021
Hierarchical transfer learning with applications for electricity load forecasting
The recent abundance of data on electricity consumption at different sca...
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11/05/2021
Optimality of variational inference for stochastic block model with missing links
Variational methods are extremely popular in the analysis of network dat...
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10/23/2020
Finite Continuum-Armed Bandits
We consider a situation where an agent has T ressources to be allocated ...
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11/29/2019
Link Prediction in the Stochastic Block Model with Outliers
The Stochastic Block Model is a popular model for network analysis in th...
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02/27/2019
