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Poster
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Mon 9:00
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Threshold Learning for Optimal Decision Making
Nathan F Lepora
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Poster
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Mon 9:00
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Algorithms and matching lower bounds for approximately-convex optimization
Andrej Risteski · Yuanzhi Li
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Poster
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Mon 9:00
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Proximal Stochastic Methods for Nonsmooth Nonconvex Finite-Sum Optimization
Sashank J. Reddi · Suvrit Sra · Barnabas Poczos · Alexander Smola
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Poster
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Mon 9:00
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Exploiting Tradeoffs for Exact Recovery in Heterogeneous Stochastic Block Models
Amin Jalali · Qiyang Han · Ioana Dumitriu · Maryam Fazel
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Tutorial
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Sun 23:30
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Deep Reinforcement Learning Through Policy Optimization
Pieter Abbeel · John Schulman
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Poster
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Mon 9:00
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Adaptive optimal training of animal behavior
Ji Hyun Bak · Jung Choi · Ilana Witten · Athena Akrami · Jonathan Pillow
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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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Workshop
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Fri 0:15
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Invited Talk: Active Optimization and Autonomous Vehicles (Jeff Schneider, CMU and Uber ATC)
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Workshop
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Thu 23:30
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Learning To Optimize
Nando de Freitas
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Workshop
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Fri 2:00
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The moment-LP and moment-SOS approaches in optimization and some related applications
Jean Lasserre
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