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