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Poster
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Thu 14:00
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Clustering Redemption–Beyond the Impossibility of Kleinberg’s Axioms
Vincent Cohen-Addad · Varun Kanade · Frederik Mallmann-Trenn
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Poster
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Tue 7:45
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Lipschitz regularity of deep neural networks: analysis and efficient estimation
Aladin Virmaux · Kevin Scaman
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Poster
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Wed 7:45
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Minimax Estimation of Neural Net Distance
Kaiyi Ji · Yingbin Liang
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Poster
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Wed 7:45
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Computationally and statistically efficient learning of causal Bayes nets using path queries
Kevin Bello · Jean Honorio
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Poster
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Thu 7:45
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Learning latent variable structured prediction models with Gaussian perturbations
Kevin Bello · Jean Honorio
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Poster
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Wed 7:45
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Early Stopping for Nonparametric Testing
Meimei Liu · Guang Cheng
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Poster
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Thu 14:00
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When do random forests fail?
Cheng Tang · Damien Garreau · Ulrike von Luxburg
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Poster
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Tue 7:45
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Which Neural Net Architectures Give Rise to Exploding and Vanishing Gradients?
Boris Hanin
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Poster
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Wed 7:45
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Learning Signed Determinantal Point Processes through the Principal Minor Assignment Problem
Victor-Emmanuel Brunel
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Poster
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Wed 14:00
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Robust Learning of Fixed-Structure Bayesian Networks
Yu Cheng · Ilias Diakonikolas · Daniel Kane · Alistair Stewart
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Workshop
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Sat 5:00
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Integration of Deep Learning Theories
Richard Baraniuk · Anima Anandkumar · Stephane Mallat · Ankit Patel · nhật Hồ
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Poster
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Wed 7:45
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The Description Length of Deep Learning models
Léonard Blier · Yann Ollivier
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