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Poster
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Wed 10:00 |
AdaScale SGD: A User-Friendly Algorithm for Distributed Training Tyler Johnson · Pulkit Agrawal · Haijie Gu · Carlos Guestrin |
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Poster
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Thu 7:00 |
Simultaneous Inference for Massive Data: Distributed Bootstrap Yang Yu · Shih-Kang Chao · Guang Cheng |
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Workshop
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Fri 11:00 |
Talk by Coralia Cartis - Dimensionality reduction techniques for large-scale optimization problems Coralia Cartis |
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Poster
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Wed 8:00 |
Decoupled Greedy Learning of CNNs Eugene Belilovsky · Michael Eickenberg · Edouard Oyallon |
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Poster
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Tue 7:00 |
Manifold Identification for Ultimately Communication-Efficient Distributed Optimization Yu-Sheng Li · Wei-Lin Chiang · Ching-pei Lee |
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Poster
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Wed 5:00 |
Moniqua: Modulo Quantized Communication in Decentralized SGD Yucheng Lu · Christopher De Sa |
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Poster
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Tue 14:00 |
Extreme Multi-label Classification from Aggregated Labels Yanyao Shen · Hsiang-Fu Yu · Sujay Sanghavi · Inderjit Dhillon |
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Poster
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Thu 12:00 |
Composable Sketches for Functions of Frequencies: Beyond the Worst Case Edith Cohen · Ofir Geri · Rasmus Pagh |
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Poster
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Thu 12:00 |
Randomized Block-Diagonal Preconditioning for Parallel Learning Celestine Mendler-Dünner · Aurelien Lucchi |
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Poster
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Thu 8:00 |
Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks Zhishuai Guo · Mingrui Liu · Zhuoning Yuan · Li Shen · Wei Liu · Tianbao Yang |
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Poster
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Wed 8:00 |
On Coresets for Regularized Regression Rachit Chhaya · Supratim Shit · Anirban Dasgupta |
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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 |