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Poster
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Thu 12:00
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Randomized Block-Diagonal Preconditioning for Parallel Learning
Celestine Mendler-Dünner · Aurelien Lucchi
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Poster
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Thu 12:00
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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 7:00
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Simultaneous Inference for Massive Data: Distributed Bootstrap
Yang Yu · Shih-Kang Chao · Guang Cheng
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Poster
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Tue 9:00
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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 12:00
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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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Wed 12:00
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My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits
Ilai Bistritz · Tavor Z Baharav · Amir Leshem · Nicholas Bambos
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Poster
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Wed 13:00
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Estimating the Error of Randomized Newton Methods: A Bootstrap Approach
Miles Lopes · Jessie X.T. Chen
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Poster
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Tue 9:00
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Fast OSCAR and OWL Regression via Safe Screening Rules
Runxue Bao · Bin Gu · Heng Huang
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Poster
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Tue 7:00
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FetchSGD: Communication-Efficient Federated Learning with Sketching
Daniel Rothchild · Ashwinee Panda · Enayat Ullah · Nikita Ivkin · Ion Stoica · Vladimir Braverman · Joseph E Gonzalez · Raman Arora
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Poster
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Wed 5:00
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Improved Communication Cost in Distributed PageRank Computation – A Theoretical Study
Siqiang Luo
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Workshop
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DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction
Aviral Kumar
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Poster
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Thu 12:00
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Topologically Densified Distributions
Christoph Hofer · Florian Graf · Marc Niethammer · Roland Kwitt
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