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22 Results
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Poster
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Tue 18:30 |
Strength of Minibatch Noise in SGD Liu Ziyin · Kangqiao Liu · Takashi Mori · Masahito Ueda |
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Spotlight
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Tue 18:30 |
Strength of Minibatch Noise in SGD Liu Ziyin · Kangqiao Liu · Takashi Mori · Masahito Ueda |
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Poster
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Thu 10:30 |
On the Convergence of mSGD and AdaGrad for Stochastic Optimization Ruinan Jin · Yu XING · Xingkang He |
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Poster
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Wed 18:30 |
SGD Can Converge to Local Maxima Liu Ziyin · Botao Li · James Simon · Masahito Ueda |
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Spotlight
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Wed 18:30 |
SGD Can Converge to Local Maxima Liu Ziyin · Botao Li · James Simon · Masahito Ueda |
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Poster
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Mon 10:30 |
Eliminating Sharp Minima from SGD with Truncated Heavy-tailed Noise Xingyu Wang · Sewoong Oh · Chang-Han Rhee |
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Poster
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Mon 10:30 |
Learning by Directional Gradient Descent David Silver · Anirudh Goyal · Ivo Danihelka · Matteo Hessel · Hado van Hasselt |
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Poster
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Tue 18:30 |
Sampling with Mirrored Stein Operators Jiaxin Shi · Chang Liu · Lester Mackey |
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Spotlight
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Tue 18:30 |
Sampling with Mirrored Stein Operators Jiaxin Shi · Chang Liu · Lester Mackey |
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Poster
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Thu 10:30 |
Learning Curves for SGD on Structured Features Blake Bordelon · Cengiz Pehlevan |
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Poster
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Tue 10:30 |
A global convergence theory for deep ReLU implicit networks via over-parameterization Tianxiang Gao · Hailiang Liu · Jia Liu · Hridesh Rajan · Hongyang Gao |
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Spotlight
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Wed 10:30 |
Assessing Generalization of SGD via Disagreement Yiding Jiang · Vaishnavh Nagarajan · Christina Baek · Zico Kolter |