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220 Results
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Spotlight
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Wed 14:00 |
Bounding the Width of Neural Networks via Coupled Initialization - A Worst Case Analysis Alexander Munteanu · Simon Omlor · Zhao Song · David Woodruff |
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Oral
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Wed 11:00 |
Agnostic Learnability of Halfspaces via Logistic Loss Ziwei Ji · Kwangjun Ahn · Pranjal Awasthi · Satyen Kale · Stefani Karp |
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Poster
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Wed 15:30 |
Agnostic Learnability of Halfspaces via Logistic Loss Ziwei Ji · Kwangjun Ahn · Pranjal Awasthi · Satyen Kale · Stefani Karp |
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Spotlight
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Tue 11:05 |
FedNL: Making Newton-Type Methods Applicable to Federated Learning Mher Safaryan · Rustem Islamov · Xun Qian · Peter Richtarik |
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Poster
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Tue 15:30 |
FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning Anis Elgabli · Chaouki Ben Issaid · Amrit Singh Bedi · Ketan Rajawat · Mehdi Bennis · Vaneet Aggarwal |
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Spotlight
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Tue 8:00 |
FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning Anis Elgabli · Chaouki Ben Issaid · Amrit Singh Bedi · Ketan Rajawat · Mehdi Bennis · Vaneet Aggarwal |
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Spotlight
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Wed 8:35 |
Statistical inference with implicit SGD: proximal Robbins-Monro vs. Polyak-Ruppert Yoonhyung Lee · Sungdong Lee · Joong-Ho (Johann) Won |
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Poster
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Wed 15:30 |
Statistical inference with implicit SGD: proximal Robbins-Monro vs. Polyak-Ruppert Yoonhyung Lee · Sungdong Lee · Joong-Ho (Johann) Won |
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Spotlight
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Wed 7:50 |
Fast Composite Optimization and Statistical Recovery in Federated Learning Yajie Bao · Michael Crawshaw · Shan Luo · Mingrui Liu |
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Poster
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Wed 15:30 |
Fast Composite Optimization and Statistical Recovery in Federated Learning Yajie Bao · Michael Crawshaw · Shan Luo · Mingrui Liu |
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Spotlight
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Thu 13:40 |
Bregman Power k-Means for Clustering Exponential Family Data Adithya D Vellal · Saptarshi Chakraborty · Jason Xu |
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Poster
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Thu 15:00 |
Bregman Power k-Means for Clustering Exponential Family Data Adithya D Vellal · Saptarshi Chakraborty · Jason Xu |