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Workshop
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Sat 8:00
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Panel discussion — Black-box Optimization & Beyond
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Workshop
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Fri 23:00
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Optimizing the Optimizers
Maren Mahsereci · Alex Davies · Philipp Hennig
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Workshop
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Fri 23:00
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OPT 2016: Optimization for Machine Learning
Suvrit Sra · Francis Bach · Sashank J. Reddi · Niao He
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Workshop
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Fri 23:00
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Bayesian Optimization: Black-box Optimization and Beyond
Roberto Calandra · Bobak Shahriari · Javier Gonzalez · Frank Hutter · Ryan Adams
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Workshop
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Thu 23:00
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Nonconvex Optimization for Machine Learning: Theory and Practice
Hossein Mobahi · Anima Anandkumar · Percy Liang · Stefanie Jegelka · Anna Choromanska
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Poster
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Mon 9:00
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On Regularizing Rademacher Observation Losses
Richard Nock
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Workshop
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Fri 23:30
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Invited Talk: Online Optimization, Smoothing, and Worst-case Competitive Ratio (Maryam Fazel, University of Washington)
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Poster
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Mon 9:00
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A Simple Practical Accelerated Method for Finite Sums
Aaron Defazio
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Workshop
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Sat 2:00
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Optimal and Adaptive Off-policy Evaluation in Contextual Bandits
Yu-Xiang Wang
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Poster
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Mon 9:00
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A Multi-Batch L-BFGS Method for Machine Learning
Albert Berahas · Jorge Nocedal · Martin Takac
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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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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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