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Poster
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Mon 9:00
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Stochastic Optimization for Large-scale Optimal Transport
Aude Genevay · Marco Cuturi · Gabriel Peyré · Francis Bach
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Poster
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Tue 9:00
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Adaptive Concentration Inequalities for Sequential Decision Problems
Shengjia Zhao · Enze Zhou · Ashish Sabharwal · Stefano Ermon
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Oral
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Wed 1:40
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Achieving the KS threshold in the general stochastic block model with linearized acyclic belief propagation
Emmanuel Abbe · Colin Sandon
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Poster
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Wed 9:00
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Dimension-Free Iteration Complexity of Finite Sum Optimization Problems
Yossi Arjevani · Ohad Shamir
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Poster
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Wed 9:00
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Stochastic Structured Prediction under Bandit Feedback
Artem Sokolov · Julia Kreutzer · Stefan Riezler · Christopher Lo
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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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Wed 9:00
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Achieving the KS threshold in the general stochastic block model with linearized acyclic belief propagation
Emmanuel Abbe · Colin Sandon
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Poster
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Tue 9:00
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Optimal Learning for Multi-pass Stochastic Gradient Methods
Junhong Lin · Lorenzo Rosasco
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Poster
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Wed 9:00
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The Sound of APALM Clapping: Faster Nonsmooth Nonconvex Optimization with Stochastic Asynchronous PALM
Damek Davis · Brent Edmunds · Madeleine Udell
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Poster
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Wed 9:00
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Parameter Learning for Log-supermodular Distributions
Tatiana Shpakova · Francis Bach
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Poster
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Wed 9:00
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Without-Replacement Sampling for Stochastic Gradient Methods
Ohad Shamir
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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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