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Poster
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Tue 9:00
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A primal-dual method for conic constrained distributed optimization problems
Necdet Serhat Aybat · Erfan Yazdandoost Hamedani
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Poster
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Tue 9:00
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Stochastic Gradient Methods for Distributionally Robust Optimization with f-divergences
Hongseok Namkoong · John Duchi
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Poster
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Mon 9:00
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On Robustness of Kernel Clustering
Bowei Yan · Purnamrita Sarkar
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Poster
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Wed 9:00
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Spectral Learning of Dynamic Systems from Nonequilibrium Data
Hao Wu · Frank Noe
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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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Stochastic Variance Reduction Methods for Saddle-Point Problems
Balamurugan Palaniappan · Francis Bach
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Poster
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Wed 9:00
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f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
Sebastian Nowozin · Botond Cseke · Ryota Tomioka
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Oral
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Wed 7:20
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Without-Replacement Sampling for Stochastic Gradient Methods
Ohad Shamir
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Poster
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Wed 9:00
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Natural-Parameter Networks: A Class of Probabilistic Neural Networks
Hao Wang · Xingjian SHI · Dit-Yan Yeung
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Poster
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Mon 9:00
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SoundNet: Learning Sound Representations from Unlabeled Video
Yusuf Aytar · Carl Vondrick · Antonio Torralba
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Poster
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Mon 9:00
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An Architecture for Deep, Hierarchical Generative Models
Philip Bachman
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Poster
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Wed 9:00
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The Forget-me-not Process
Kieran Milan · Joel Veness · James Kirkpatrick · Michael Bowling · Anna Koop · Demis Hassabis
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