Talk: David Duvenaud on Gradient-based hyperparameter optimization through reversible learning
by Jörg Bornschein 04 Fév '16
by Jörg Bornschein 04 Fév '16
04 Fév '16
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TeaTalk: Discriminative Regularizers and Metrics for Generative Models
by Jörg Bornschein 19 Jan '16
by Jörg Bornschein 19 Jan '16
19 Jan '16
1
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1
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Talk on Friday: Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation
by Jörg Bornschein 15 Jan '16
by Jörg Bornschein 15 Jan '16
15 Jan '16
2
3
1
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Talk on Friday 18th, 2:30pm: Frank-Wolfe Optimization for Structured Machine Learning
by Jörg Bornschein 18 Déc '15
by Jörg Bornschein 18 Déc '15
18 Déc '15
1
1
1
1
Talk on Monday 14th, 1pm: Natural Gradient-based Algorithms for the Training of Neural Networks
by Jörg Bornschein 14 Déc '15
by Jörg Bornschein 14 Déc '15
14 Déc '15
1
2
1
1