Papa, Guillaume

5 publications

ECML-PKDD 2019 Trade-Offs in Large-Scale Distributed Tuplewise Estimation and Learning Robin Vogel, Aurélien Bellet, Stéphan Clémençon, Ons Jelassi, Guillaume Papa

ACML 2016 Learning from Survey Training Samples: Rate Bounds for Horvitz-Thompson Risk Minimizers Stephan Clemencon, Patrice Bertail, Guillaume Papa

NeurIPS 2016 On Graph Reconstruction via Empirical Risk Minimization: Fast Learning Rates and Scalability Guillaume Papa, Aurélien Bellet, Stephan Clémençon

ALT 2015 Adaptive Sampling for Incremental Optimization Using Stochastic Gradient Descent Guillaume Papa, Pascal Bianchi, Stéphan Clémençon

NeurIPS 2015 SGD Algorithms Based on Incomplete U-Statistics: Large-Scale Minimization of Empirical Risk Guillaume Papa, Stéphan Clémençon, Aurélien Bellet