Guillaume Papa

Publication Activity (10 Years)

Years Active: 2015-2019
Publications (10 Years): 4

Top Topics

Adaptive Sampling

Distributed Learning

Stochastic Gradient Descent

Top Venues

Publications

Robin Vogel, Aurélien Bellet, Stéphan Clémençon, Ons Jelassi, Guillaume Papa
Trade-offs in Large-Scale Distributed Tuplewise Estimation and Learning. CoRR (2019)
Robin Vogel, Aurélien Bellet, Stéphan Clémençon, Ons Jelassi, Guillaume Papa
Trade-Offs in Large-Scale Distributed Tuplewise Estimation And Learning. ECML/PKDD (2) (2019)
Stéphan Clémençon, Patrice Bertail, Guillaume Papa
Learning from Survey Training Samples: Rate Bounds for Horvitz-Thompson Risk Minimizers. ACML (2016)
Guillaume Papa, Aurélien Bellet, Stéphan Clémençon
On Graph Reconstruction via Empirical Risk Minimization: Fast Learning Rates and Scalability. NIPS (2016)
Guillaume Papa, Pascal Bianchi, Stéphan Clémençon
Adaptive Sampling for Incremental Optimization Using Stochastic Gradient Descent. ALT (2015)
Guillaume Papa, Stéphan Clémençon, Aurélien Bellet
SGD Algorithms based on Incomplete U-statistics: Large-Scale Minimization of Empirical Risk. NIPS (2015)
Stéphan Clémençon, Aurélien Bellet, Ons Jelassi, Guillaume Papa
Scalability of Stochastic Gradient Descent based on "Smart" Sampling Techniques. INNS Conference on Big Data (2015)