Publications (14)
Minimax PAC Bounds for Learning in Exogenous Contextual MDPs
Corentin Pla, Hugo Richard, Marc Abeille +1
We study PAC learning in tabular discounted Markov decision processes with exogenous i.i.d. contexts, with discount factor , finite state space , action space $\mat…
Adaptive Multi-View ICA: Estimation of noise levels for optimal inference
Hugo Richard, Pierre Ablin, Aapo Hyvärinen +2
We consider a multi-view learning problem known as group independent component analysis (group ICA), where the goal is to recover shared independent sources from many views. The st…
Optimizing deep video representation to match brain activity
Hugo Richard, Ana Pinho, Bertrand Thirion +1
The comparison of observed brain activity with the statistics generated by artificial intelligence systems is useful to probe brain functional organization under ecological conditi…
Prophet Inequalities under Local Differential Privacy
Achraf Azize, Mathieu Molina, Hugo Richard +1
Many online decision platforms, from hiring marketplaces to auctions, face a tension between efficient decision-making and the protection of participants' privacy. Personal informa…
Improved learning rates in multi-unit uniform price auctions
Marius Potfer, Dorian Baudry, Hugo Richard +2
Motivated by the strategic participation of electricity producers in electricity day-ahead market, we study the problem of online learning in repeated multi-unit uniform price auct…
Modeling Shared Responses in Neuroimaging Studies through MultiView ICA
Hugo Richard, Luigi Gresele, Aapo Hyvärinen +3
Group studies involving large cohorts of subjects are important to draw general conclusions about brain functional organization. However, the aggregation of data coming from multip…