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Poster
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Tue 15:30
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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
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FedNest: Federated Bilevel, Minimax, and Compositional Optimization
Davoud Ataee Tarzanagh · Mingchen Li · Christos Thrampoulidis · Samet Oymak
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Poster
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Wed 15:30
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Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings
Jan Macdonald · Mathieu Besançon · Sebastian Pokutta
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Spotlight
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Wed 7:30
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Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings
Jan Macdonald · Mathieu Besançon · Sebastian Pokutta
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Poster
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Wed 15:30
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Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling
Hongkang Li · Meng Wang · Sijia Liu · Pin-Yu Chen · Jinjun Xiong
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Spotlight
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Wed 13:45
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Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence
Zi-Hao Qiu · Quanqi Hu · Yongjian Zhong · Lijun Zhang · Tianbao Yang
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Spotlight
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Thu 13:25
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An Exact Symbolic Reduction of Linear Smart Predict+Optimize to Mixed Integer Linear Programming
Jihwan Jeong · Parth Jaggi · Andrew Butler · Scott Sanner
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Poster
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Thu 15:00
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Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning
Momin Abbas · Quan Xiao · Lisha Chen · Pin-Yu Chen · Tianyi Chen
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Spotlight
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Thu 11:30
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Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning
Momin Abbas · Quan Xiao · Lisha Chen · Pin-Yu Chen · Tianyi Chen
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Poster
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Thu 15:00
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Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology
Yan Huang · Ying Sun · Zehan Zhu · Changzhi Yan · Jinming Xu
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Oral
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Tue 8:15
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Continuous-Time Analysis of Accelerated Gradient Methods via Conservation Laws in Dilated Coordinate Systems
Jaewook Suh · Gyumin Roh · Ernest Ryu
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Spotlight
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Thu 13:50
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Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology
Yan Huang · Ying Sun · Zehan Zhu · Changzhi Yan · Jinming Xu
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