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Poster
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Wed 9:00
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Exploiting the Structure: Stochastic Gradient Methods Using Raw Clusters
Zeyuan Allen-Zhu · Yang Yuan · Karthik Sridharan
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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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Generalization of ERM in Stochastic Convex Optimization: The Dimension Strikes Back
Vitaly Feldman
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Poster
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Tue 9:00
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Unified Methods for Exploiting Piecewise Linear Structure in Convex Optimization
Tyler Johnson · Carlos Guestrin
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Oral
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Wed 8:20
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Generalization of ERM in Stochastic Convex Optimization: The Dimension Strikes Back
Vitaly Feldman
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Poster
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Tue 9:00
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Faster Projection-free Convex Optimization over the Spectrahedron
Dan Garber · Dan Garber
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Tutorial
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Mon 5:30
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Large-Scale Optimization: Beyond Stochastic Gradient Descent and Convexity
Suvrit Sra · Francis Bach
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Poster
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Wed 9:00
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Accelerating Stochastic Composition Optimization
Mengdi Wang · Ji Liu · Ethan Fang
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Workshop
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Sat 2:00
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Invited Talk: Kernel-based Methods for Bandit Convex Optimization (Sébastien Bubeck, Microsoft Research)
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Oral
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Wed 7:40
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Regularized Nonlinear Acceleration
Damien Scieur · Alexandre d'Aspremont · Francis Bach
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Poster
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Wed 9:00
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Regularized Nonlinear Acceleration
Damien Scieur · Alexandre d'Aspremont · Francis Bach
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Poster
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Mon 9:00
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Optimistic Bandit Convex Optimization
Scott Yang · Mehryar Mohri
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