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Poster
Wed 15:30 Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence
Zi-Hao Qiu · Quanqi Hu · Yongjian Zhong · Lijun Zhang · Tianbao Yang
Poster
Wed 15:30 EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning
Shay Vargaftik · Ran Ben Basat · Amit Portnoy · Gal Mendelson · Yaniv Ben Itzhak · Michael Mitzenmacher
Poster
Tue 15:30 FedNest: Federated Bilevel, Minimax, and Compositional Optimization
Davoud Ataee Tarzanagh · Mingchen Li · Christos Thrampoulidis · Samet Oymak
Spotlight
Wed 14:40 EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning
Shay Vargaftik · Ran Ben Basat · Amit Portnoy · Gal Mendelson · Yaniv Ben Itzhak · Michael Mitzenmacher
Spotlight
Wed 13:45 Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence
Zi-Hao Qiu · Quanqi Hu · Yongjian Zhong · Lijun Zhang · Tianbao Yang
Oral
Tue 13:45 FedNest: Federated Bilevel, Minimax, and Compositional Optimization
Davoud Ataee Tarzanagh · Mingchen Li · Christos Thrampoulidis · Samet Oymak
Spotlight
Tue 10:30 An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees
Guillaume Braun · Hemant Tyagi · Christophe Biernacki
Spotlight
Thu 13:45 A Stochastic Multi-Rate Control Framework For Modeling Distributed Optimization Algorithms
xinwei zhang · Mingyi Hong · Sairaj Dhople · Nicola Elia
Poster
Wed 15:30 Last Iterate Risk Bounds of SGD with Decaying Stepsize for Overparameterized Linear Regression
Jingfeng Wu · Difan Zou · Vladimir Braverman · Quanquan Gu · Sham Kakade
Oral
Wed 14:05 Last Iterate Risk Bounds of SGD with Decaying Stepsize for Overparameterized Linear Regression
Jingfeng Wu · Difan Zou · Vladimir Braverman · Quanquan Gu · Sham Kakade
Poster
Thu 15:00 A Stochastic Multi-Rate Control Framework For Modeling Distributed Optimization Algorithms
xinwei zhang · Mingyi Hong · Sairaj Dhople · Nicola Elia
Poster
Tue 15:30 An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees
Guillaume Braun · Hemant Tyagi · Christophe Biernacki