1 citations · 2 across the 5 of their papers we have counts for
7 papers
Structured Prediction in Online Learning
Pierre Boudart, Alessandro Rudi, Pierre Gaillard
We study a theoretical and algorithmic framework for structured prediction in the online learning setting. The problem of structured prediction, i.e. estimating function where the…
Online Learning Approach for Survival Analysis
Camila Fernandez, Pierre Gaillard, Joseph de Vilmarest +1
We introduce an online mathematical framework for survival analysis, allowing real time adaptation to dynamic environments and censored data. This framework enables the estimation…
Adaptive approximation of monotone functions
Pierre Gaillard, Sébastien Gerchinovitz, Étienne de Montbrun
We study the classical problem of approximating a non-decreasing function in norm by sequentially querying its values, for known compact r…
Sequential Counterfactual Risk Minimization
Houssam Zenati, Eustache Diemert, Matthieu Martin +2
Counterfactual Risk Minimization (CRM) is a framework for dealing with the logged bandit feedback problem, where the goal is to improve a logging policy using offline data. In this…
Reimagining Demand-Side Management with Mean Field Learning
Bianca Marin Moreno, Margaux Brégère, Pierre Gaillard +1
Integrating renewable energy into the power grid while balancing supply and demand is a complex issue, given its intermittent nature. Demand side management (DSM) offers solutions…
Sparse Accelerated Exponential Weights
Pierre Gaillard, Olivier Wintenberger
We consider the stochastic optimization problem where a convex function is minimized observing recursively the gradients. We introduce SAEW, a new procedure that accelerates expone…