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Workshop
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How Small Amount of Data Sharing Benefits Higher-Order Distributed Optimization and Learning
Mingxi Zhu · Yinyu Ye
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Workshop
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Fishy: Layerwise Fisher Approximation for Higher-order Neural Network Optimization
Abel Peirson · Ehsan Amid · Yatong Chen · Vladimir Feinberg · Manfred Warmuth · Rohan Anil
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Workshop
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Perseus: A Simple and Optimal High-Order Method for Variational Inequalities
Tianyi Lin · Michael Jordan
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Workshop
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Trust-Region Sequential Quadratic Programming for Stochastic Optimization with Random Models: First-Order Stationarity
Yuchen Fang · Sen Na · Mladen Kolar
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Workshop
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Fri 6:15
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Order up! The Benefits of Higher-Order Optimization in Machine Learning
Albert Berahas · Jelena Diakonikolas · Jarad Forristal · Brandon Reese · Martin Takac · Yan Xu
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Poster
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Thu 14:00
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Amortized Proximal Optimization
Juhan Bae · Paul Vicol · Jeff Z. HaoChen · Roger Grosse
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Poster
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Wed 9:00
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Large-scale Optimization of Partial AUC in a Range of False Positive Rates
Yao Yao · Qihang Lin · Tianbao Yang
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Poster
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Tue 14:00
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Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods
Kimon Antonakopoulos · Ali Kavis · Volkan Cevher
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Poster
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Thu 9:00
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Chaotic Dynamics are Intrinsic to Neural Network Training with SGD
Luis Herrmann · Maximilian Granz · Tim Landgraf
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Poster
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Wed 14:00
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Gradient Descent Is Optimal Under Lower Restricted Secant Inequality And Upper Error Bound
Charles Guille-Escuret · Adam Ibrahim · Baptiste Goujaud · Ioannis Mitliagkas
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Poster
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Thu 9:00
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Better SGD using Second-order Momentum
Hoang Tran · Ashok Cutkosky
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Poster
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Wed 14:00
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BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach
Bo Liu · Mao Ye · Stephen Wright · Peter Stone · Qiang Liu
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