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Poster
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Tue 18:30
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How regularization affects the critical points in linear networks
Amirhossein Taghvaei · Jin W Kim · Prashant Mehta
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Poster
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Tue 18:30
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Collaborative Deep Learning in Fixed Topology Networks
Zhanhong Jiang · Aditya Balu · Chinmay Hegde · Soumik Sarkar
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Poster
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Tue 18:30
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Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization
Hyeonwoo Noh · Tackgeun You · Jonghwan Mun · Bohyung Han
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Poster
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Wed 18:30
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Gradient descent GAN optimization is locally stable
Vaishnavh Nagarajan · J. Zico Kolter
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Poster
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Mon 18:30
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Real Time Image Saliency for Black Box Classifiers
Piotr Dabkowski · Yarin Gal
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Poster
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Tue 18:30
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Robust Optimization for Non-Convex Objectives
Robert S Chen · Brendan Lucier · Yaron Singer · Vasilis Syrgkanis
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Poster
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Mon 18:30
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Non-convex Finite-Sum Optimization Via SCSG Methods
Lihua Lei · Cheng Ju · Jianbo Chen · Michael Jordan
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Poster
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Mon 18:30
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Do Deep Neural Networks Suffer from Crowding?
Anna Volokitin · Gemma Roig · Tomaso Poggio
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Workshop
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Fri 16:30
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Optimal Economic Design through Deep Learning
David Parkes
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Poster
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Wed 18:30
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Convergence Analysis of Two-layer Neural Networks with ReLU Activation
Yuanzhi Li · Yang Yuan
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Poster
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Mon 18:30
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On the Fine-Grained Complexity of Empirical Risk Minimization: Kernel Methods and Neural Networks
Arturs Backurs · Piotr Indyk · Ludwig Schmidt
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Workshop
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Fri 11:00
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Inderjit Dhillon (UT Austin & Amazon) on Stabilizing Gradients for Deep Neural Networks with Applications to Extreme Classification
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