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Poster
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Wed 9:00
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Split LBI: An Iterative Regularization Path with Structural Sparsity
Chendi Huang · Xinwei Sun · Jiechao Xiong · Yuan Yao
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Poster
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Mon 9:00
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Kernel Observers: Systems-Theoretic Modeling and Inference of Spatiotemporally Evolving Processes
Hassan A Kingravi · Harshal R Maske · Girish Chowdhary
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Workshop
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Fri 7:35
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Lucas Janson. Model-free knockoffs: statistical tools for reproducible selections
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Poster
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Wed 9:00
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A Sparse Interactive Model for Matrix Completion with Side Information
Jin Lu · Guannan Liang · Jiangwen Sun · Jinbo Bi
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Poster
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Tue 9:00
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Learning Structured Sparsity in Deep Neural Networks
Wei Wen · Chunpeng Wu · Yandan Wang · Yiran Chen · Hai Li
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Poster
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Wed 9:00
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Average-case hardness of RIP certification
Tengyao Wang · Quentin Berthet · Yaniv Plan
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Poster
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Tue 9:00
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DeepMath - Deep Sequence Models for Premise Selection
Geoffrey Irving · Christian Szegedy · Alexander Alemi · Niklas Een · Francois Chollet · Josef Urban
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Poster
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Wed 9:00
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Proximal Deep Structured Models
Shenlong Wang · Sanja Fidler · Raquel Urtasun
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Poster
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Mon 9:00
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Learning from Rational Behavior: Predicting Solutions to Unknown Linear Programs
Shahin Jabbari · Ryan Rogers · Aaron Roth · Steven Wu
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Poster
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Mon 9:00
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A Powerful Generative Model Using Random Weights for the Deep Image Representation
Kun He · Yan Wang · John Hopcroft
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Workshop
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Fri 8:00
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Invited Talk: Learning Adaptive Driving Models from Large-scale Video Datasets (Fisher Yu, Huazhe Xu, Dequan Wang, and Trevor Darrell, Berkeley)
Trevor Darrell
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Poster
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Tue 9:00
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An Online Sequence-to-Sequence Model Using Partial Conditioning
Navdeep Jaitly · Quoc V Le · Oriol Vinyals · Ilya Sutskever · David Sussillo · Samy Bengio
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