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26 Results
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Poster
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Thu 2:30 |
Counterfactual Plans under Distributional Ambiguity Ngoc Bui · Duy Nguyen · Viet Anh Nguyen |
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Poster
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Thu 10:30 |
Optimization and Adaptive Generalization of Three layer Neural Networks Khashayar Gatmiry · Stefanie Jegelka · Jonathan Kelner |
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Spotlight
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Tue 10:30 |
Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing Sai Karimireddy · Lie He · Martin Jaggi |
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Poster
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Tue 10:30 |
Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing Sai Karimireddy · Lie He · Martin Jaggi |
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Poster
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Tue 18:30 |
Optimal Representations for Covariate Shift Yangjun Ruan · Yann Dubois · Chris Maddison |
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Poster
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Wed 10:30 |
Learning Distributionally Robust Models at Scale via Composite Optimization Farzin Haddadpour · Mohammad Mahdi Kamani · Mehrdad Mahdavi · Amin Karbasi |
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Spotlight
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Wed 18:30 |
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective Yimeng Zhang · Yuguang Yao · Jinghan Jia · Jinfeng Yi · Mingyi Hong · Shiyu Chang · Sijia Liu |
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Poster
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Wed 2:30 |
On Distributed Adaptive Optimization with Gradient Compression Xiaoyun Li · Belhal Karimi · Ping Li |
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Poster
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Mon 18:30 |
Focus on the Common Good: Group Distributional Robustness Follows Vihari Piratla · Praneeth Netrapalli · Sunita Sarawagi |
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Poster
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Wed 18:30 |
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective Yimeng Zhang · Yuguang Yao · Jinghan Jia · Jinfeng Yi · Mingyi Hong · Shiyu Chang · Sijia Liu |
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Poster
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Wed 2:30 |
Distributionally Robust Fair Principal Components via Geodesic Descents Hieu Vu · Toan Tran · Man-Chung Yue · Viet Anh Nguyen |
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Poster
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Tue 2:30 |
Permutation Compressors for Provably Faster Distributed Nonconvex Optimization Rafał Szlendak · Alexander Tyurin · Peter Richtarik |