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5 Results
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Poster
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Tue 9:00 |
Improved Convergence Rate of Stochastic Gradient Langevin Dynamics with Variance Reduction and its Application to Optimization Yuri Kinoshita · Taiji Suzuki |
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Poster
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Thu 9:00 |
Approximation with CNNs in Sobolev Space: with Applications to Classification Guohao Shen · Yuling Jiao · Yuanyuan Lin · Jian Huang |
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Poster
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Thu 9:00 |
Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent Yiping Lu · Jose Blanchet · Lexing Ying |
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Poster
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Wed 9:00 |
The Curse of Unrolling: Rate of Differentiating Through Optimization Damien Scieur · Gauthier Gidel · Quentin Bertrand · Fabian Pedregosa |
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Workshop
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Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint Hao Liu · Minshuo Chen · Siawpeng Er · Wenjing Liao · Tong Zhang · Tuo Zhao |