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Poster
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Thu 7:45
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Can We Gain More from Orthogonality Regularizations in Training Deep Networks?
Nitin Bansal · Xiaohan Chen · Zhangyang Wang
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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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Wed 7:45
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Learning sparse neural networks via sensitivity-driven regularization
Enzo Tartaglione · Skjalg Lepsøy · Attilio Fiandrotti · Gianluca Francini
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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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Thu 14:00
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Convergence of Cubic Regularization for Nonconvex Optimization under KL Property
Yi Zhou · Zhe Wang · Yingbin Liang
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Poster
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Tue 14:00
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BinGAN: Learning Compact Binary Descriptors with a Regularized GAN
Maciej Zieba · Piotr Semberecki · Tarek El-Gaaly · Tomasz Trzcinski
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Poster
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Wed 14:00
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Zeroth-order (Non)-Convex Stochastic Optimization via Conditional Gradient and Gradient Updates
Krishnakumar Balasubramanian · Saeed Ghadimi
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Poster
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Thu 7:45
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But How Does It Work in Theory? Linear SVM with Random Features
Yitong Sun · Anna Gilbert · Ambuj Tewari
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Poster
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Tue 7:45
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Regularizing by the Variance of the Activations' Sample-Variances
Etai Littwin · Lior Wolf
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Poster
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Wed 14:00
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Temporal Regularization for Markov Decision Process
Pierre Thodoroff · Audrey Durand · Joelle Pineau · Doina Precup
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Poster
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Thu 7:45
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Relating Leverage Scores and Density using Regularized Christoffel Functions
Edouard Pauwels · Francis Bach · Jean-Philippe Vert
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Poster
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Thu 7:45
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Connectionist Temporal Classification with Maximum Entropy Regularization
Hu Liu · Sheng Jin · Changshui Zhang
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