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11 Results
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Poster
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Thu 9:00 |
Stable Recurrent Models John Miller · Moritz Hardt |
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Poster
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Wed 14:30 |
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 |
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 |
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 |
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 |
Preconditioner on Matrix Lie Group for SGD XI-LIN LI |
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Poster
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Wed 14:30 |
Local SGD Converges Fast and Communicates Little Sebastian Stich |
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Poster
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Tue 9:00 |
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 |
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 |
Fluctuation-dissipation relations for stochastic gradient descent Sho Yaida |
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Poster
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Wed 14:30 |
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 |