firstbacksecondback
319 Results
|
Poster
|
Thu 6:00 |
Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE Juntang Zhuang · Nicha Dvornek · Xiaoxiao Li · Sekhar Tatikonda · Xenophon Papademetris · James Duncan |
|
|
Poster
|
Tue 9:00 |
Fast OSCAR and OWL Regression via Safe Screening Rules Runxue Bao · Bin Gu · Heng Huang |
|
|
Poster
|
Tue 13:00 |
Inertial Block Proximal Methods for Non-Convex Non-Smooth Optimization Hien Le · Nicolas Gillis · Panagiotis Patrinos |
|
|
Poster
|
Wed 11:00 |
Statistically Preconditioned Accelerated Gradient Method for Distributed Optimization Hadrien Hendrikx · Lin Xiao · Sebastien Bubeck · Francis Bach · Laurent Massoulié |
|
|
Poster
|
Thu 6:00 |
Linear Convergence of Randomized Primal-Dual Coordinate Method for Large-scale Linear Constrained Convex Programming Daoli Zhu · Lei Zhao |
|
|
Poster
|
Thu 6:00 |
Stochastic Flows and Geometric Optimization on the Orthogonal Group Krzysztof Choromanski · David Cheikhi · Jared Quincy Davis · Valerii Likhosherstov · Achille Nazaret · Achraf Bahamou · Xingyou Song · Mrugank Akarte · Jack Parker-Holder · Jacob Bergquist · Yuan Gao · Aldo Pacchiano · Tamas Sarlos · Adrian Weller · Vikas Sindhwani |
|
|
Poster
|
Thu 18:00 |
On Layer Normalization in the Transformer Architecture Ruibin Xiong · Yunchang Yang · Di He · Kai Zheng · Shuxin Zheng · Chen Xing · Huishuai Zhang · Yanyan Lan · Liwei Wang · Tie-Yan Liu |
|
|
Poster
|
Thu 8:00 |
One-shot Distributed Ridge Regression in High Dimensions Yue Sheng · Edgar Dobriban |
|
|
Poster
|
Thu 6:00 |
Universal Asymptotic Optimality of Polyak Momentum Damien Scieur · Fabian Pedregosa |
|
|
Workshop
|
Fri 8:00 |
Beyond first order methods in machine learning systems Albert S Berahas · Amir Gholaminejad · Anastasios Kyrillidis · Michael Mahoney · Fred Roosta |
|
|
Poster
|
Thu 6:00 |
Acceleration through spectral density estimation Fabian Pedregosa · Damien Scieur |
|
|
Poster
|
Thu 6:00 |
Almost Tune-Free Variance Reduction Bingcong Li · Lingda Wang · Georgios B. Giannakis |