Guillaume Papa
3 papers · 2015–2016 · 2 venues · across top CS/AI venues
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Conference Polyglot · Bronze
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Keywords
empirical risk minimization
(3)
stochastic gradient descent
(1)
link prediction
(1)
metric learning
(1)
binary classification
(1)
large-scale optimization
(1)
risk minimization
(1)
stochastic approximation
(1)
learning rate
(1)
generalization bound
(1)
graph reconstruction
(1)
weighted empirical risk
(1)
auc maximization
(1)
horvitz-thompson estimator
(1)
survey sampling
(1)
inclusion probability
(1)
learning rate bound
(1)
statistical learning
(1)
sampling with replacement
(1)
Papers
Learning from Survey Training Samples: Rate Bounds for Horvitz-Thompson Risk Minimizers
ACML 2016
On Graph Reconstruction via Empirical Risk Minimization: Fast Learning Rates and Scalability
NeurIPS 2016
SGD Algorithms based on Incomplete U-statistics: Large-Scale Minimization of Empirical Risk
NeurIPS 2015