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112 Results
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Poster
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Wed 15:30 |
Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification Camille Garcin · Maximilien Servajean · Alexis Joly · Joseph Salmon |
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Poster
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Thu 15:00 |
Stochastic Continuous Submodular Maximization: Boosting via Non-oblivious Function Qixin Zhang · Zengde Deng · Zaiyi Chen · Haoyuan Hu · Yu Yang |
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Spotlight
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Wed 11:25 |
Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification Camille Garcin · Maximilien Servajean · Alexis Joly · Joseph Salmon |
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Spotlight
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Thu 11:35 |
Stochastic Continuous Submodular Maximization: Boosting via Non-oblivious Function Qixin Zhang · Zengde Deng · Zaiyi Chen · Haoyuan Hu · Yu Yang |
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Spotlight
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Tue 11:25 |
Bayesian Optimization under Stochastic Delayed Feedback Arun Verma · Zhongxiang Dai · Bryan Kian Hsiang Low |
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Poster
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Thu 15:00 |
Adaptive Random Walk Gradient Descent for Decentralized Optimization Tao Sun · Dongsheng Li · Bao Wang |
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Poster
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Tue 15:30 |
Bayesian Optimization under Stochastic Delayed Feedback Arun Verma · Zhongxiang Dai · Bryan Kian Hsiang Low |
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Spotlight
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Thu 12:40 |
Adaptive Random Walk Gradient Descent for Decentralized Optimization Tao Sun · Dongsheng Li · Bao Wang |
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Spotlight
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Wed 8:45 |
Communication-Efficient Adaptive Federated Learning Yujia Wang · Lu Lin · Jinghui Chen |
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Spotlight
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Thu 13:50 |
Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors Geert-Jan Huizing · Laura Cantini · Gabriel Peyré |
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Poster
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Wed 15:30 |
Communication-Efficient Adaptive Federated Learning Yujia Wang · Lu Lin · Jinghui Chen |
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Poster
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Thu 15:00 |
Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors Geert-Jan Huizing · Laura Cantini · Gabriel Peyré |