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Poster
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Tue 17:30
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A Communication Efficient Stochastic Multi-Block Alternating Direction Method of Multipliers
Hao Yu
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Poster
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Thu 10:45
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Leader Stochastic Gradient Descent for Distributed Training of Deep Learning Models
Yunfei Teng · Wenbo Gao · François Chalus · Anna Choromanska · Donald Goldfarb · Adrian Weller
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Poster
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Wed 17:00
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Stochastic Frank-Wolfe for Composite Convex Minimization
Francesco Locatello · Alp Yurtsever · Olivier Fercoq · Volkan Cevher
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Poster
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Wed 17:00
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A Generic Acceleration Framework for Stochastic Composite Optimization
Andrei Kulunchakov · Julien Mairal
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Poster
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Tue 17:30
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UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization
Ali Kavis · Kfir Y. Levy · Francis Bach · Volkan Cevher
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Workshop
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Sat 15:10
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Private Stochastic Convex Optimization: Optimal Rates in Linear Time
Vitaly Feldman · Tomer Koren · Kunal Talwar
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Poster
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Tue 10:45
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On the Optimality of Perturbations in Stochastic and Adversarial Multi-armed Bandit Problems
Baekjin Kim · Ambuj Tewari
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Poster
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Thu 10:45
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Distributed estimation of the inverse Hessian by determinantal averaging
Michal Derezinski · Michael Mahoney
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Poster
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Thu 10:45
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Continuous-time Models for Stochastic Optimization Algorithms
Antonio Orvieto · Aurelien Lucchi
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Poster
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Tue 17:30
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Necessary and Sufficient Geometries for Gradient Methods
Daniel Levy · John Duchi
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Poster
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Wed 10:45
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Stochastic Continuous Greedy ++: When Upper and Lower Bounds Match
Amin Karbasi · Hamed Hassani · Aryan Mokhtari · Zebang Shen
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Poster
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Thu 10:45
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Think out of the "Box": Generically-Constrained Asynchronous Composite Optimization and Hedging
Pooria Joulani · András György · Csaba Szepesvari
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