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10 Results
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Poster
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Wed 14:30 |
Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions Zaiyi Chen · Zhuoning Yuan · Jinfeng Yi · Bowen Zhou · Enhong Chen · Tianbao Yang |
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Poster
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Wed 14:30 |
Subgradient Descent Learns Orthogonal Dictionaries Yu Bai · Qijia Jiang · Ju Sun |
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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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Thu 9:00 |
Stable Recurrent Models John Miller · Moritz Hardt |
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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 |
On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization Xiangyi Chen · Sijia Liu · Ruoyu Sun · Mingyi Hong |
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Poster
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Tue 14:30 |
Verification of Non-Linear Specifications for Neural Networks Chongli Qin · Krishnamurthy Dvijotham · Brendan ODonoghue · Rudy R Bunel · Robert Stanforth · Sven Gowal · Jonathan Uesato · Grzegorz Swirszcz · Pushmeet Kohli |
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Poster
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Wed 14:30 |
Off-Policy Evaluation and Learning from Logged Bandit Feedback: Error Reduction via Surrogate Policy Yuan Xie · Boyi Liu · Qiang Liu · Zhaoran Wang · Yuan Zhou · Jian Peng |
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Poster
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Wed 14:30 |
Optimal Control Via Neural Networks: A Convex Approach Yize Chen · Yuanyuan Shi · Baosen Zhang |
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Poster
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Tue 14:30 |
DISTRIBUTIONAL CONCAVITY REGULARIZATION FOR GANS Shoichiro Yamaguchi · Masanori Koyama |