Skip to yearly menu bar Skip to main content


Search All 2017 Events
 

4 Results

<<   <   Page 1 of 1   >>   >
Poster
Wed 18:30 Stochastic and Adversarial Online Learning without Hyperparameters
Ashok Cutkosky · Kwabena A Boahen
Poster
Wed 18:30 An Empirical Bayes Approach to Optimizing Machine Learning Algorithms
James McInerney
Poster
Tue 18:30 Bayesian Optimization with Gradients
Jian Wu · Matthias Poloczek · Andrew Wilson · Peter Frazier
Poster
Mon 18:30 Improved Graph Laplacian via Geometric Self-Consistency
Dominique Perrault-Joncas · Marina Meila · James McQueen