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Poster
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Thu 9:00
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Stable Recurrent Models
John Miller · Moritz Hardt
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Poster
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Wed 14:30
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Gradient descent aligns the layers of deep linear networks
Ziwei Ji · Matus Telgarsky
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Poster
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Wed 14:30
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Stochastic Gradient/Mirror Descent: Minimax Optimality and Implicit Regularization
Navid Azizan · Babak Hassibi
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Poster
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Wed 14:30
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A Convergence Analysis of Gradient Descent for Deep Linear Neural Networks
Sanjeev Arora · Nadav Cohen · Noah Golowich · Wei Hu
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Poster
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Wed 14:30
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Gradient Descent Provably Optimizes Over-parameterized Neural Networks
Simon Du · Xiyu Zhai · Barnabás Póczos · Aarti Singh
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Poster
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Wed 14:30
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Preconditioner on Matrix Lie Group for SGD
XI-LIN LI
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Poster
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Wed 14:30
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Local SGD Converges Fast and Communicates Little
Sebastian Stich
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Poster
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Tue 9:00
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Neural network gradient-based learning of black-box function interfaces
Alon Jacovi · guy hadash · Einat Kermany · Boaz Carmeli · Ofer Lavi · George M. Kour · Jonathan Berant
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Poster
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Wed 14:30
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ANYTIME MINIBATCH: EXPLOITING STRAGGLERS IN ONLINE DISTRIBUTED OPTIMIZATION
Nuwan Ferdinand · Haider Al-Lawati · Stark Draper · Matthew Nokleby
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Poster
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Wed 14:30
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Fluctuation-dissipation relations for stochastic gradient descent
Sho Yaida
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Poster
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Wed 14:30
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Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile
Panayotis Mertikopoulos · Bruno Lecouat · Houssam Zenati · Chuan-Sheng Foo · Vijay Chandrasekhar · Georgios Piliouras
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Poster
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Thu 14:30
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ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks
Mingzhang Yin · Mingyuan Zhou
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