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141 Results
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Poster
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Tue 9:00 |
Nearly Linear Row Sampling Algorithm for Quantile Regression Yi Li · Ruosong Wang · Lin Yang · Hanrui Zhang |
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Poster
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Wed 8:00 |
Optimal transport mapping via input convex neural networks Ashok Vardhan Makkuva · Amirhossein Taghvaei · Sewoong Oh · Jason Lee |
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Poster
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Thu 6:00 |
Interpreting Robust Optimization via Adversarial Influence Functions Zhun Deng · Cynthia Dwork · Jialiang Wang · Linjun Zhang |
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Poster
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Tue 7:00 |
Differentiating through the Fréchet Mean Aaron Lou · Isay Katsman · Qingxuan Jiang · Serge Belongie · Ser Nam Lim · Christopher De Sa |
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Poster
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Wed 8:00 |
Online mirror descent and dual averaging: keeping pace in the dynamic case Huang Fang · Nick Harvey · Victor Sanches Portella · Michael Friedlander |
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Poster
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Thu 8:00 |
Coresets for Data-efficient Training of Machine Learning Models Baharan Mirzasoleiman · Jeff Bilmes · Jure Leskovec |
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Poster
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Wed 12:00 |
Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization Zhize Li · Dmitry Kovalev · Xun Qian · Peter Richtarik |
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Poster
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Tue 7:00 |
Self-Concordant Analysis of Frank-Wolfe Algorithms Pavel Dvurechenskii · Petr Ostroukhov · Kamil Safin · Shimrit Shtern · Mathias Staudigl |
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Poster
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Wed 13:00 |
Super-efficiency of automatic differentiation for functions defined as a minimum Pierre Ablin · Gabriel Peyré · Thomas Moreau |
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Poster
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Tue 18:00 |
Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal Generalization Pan Zhou · Xiao-Tong Yuan |
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Poster
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Tue 8:00 |
Is Local SGD Better than Minibatch SGD? Blake Woodworth · Kumar Kshitij Patel · Sebastian Stich · Zhen Dai · Brian Bullins · Brendan McMahan · Ohad Shamir · Nati Srebro |
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Poster
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Tue 13:00 |
Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses Pierre Laforgue · Alex Lambert · Luc Brogat-Motte · Florence d'Alche-Buc |