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Poster
Wed 18:30 Variance-based Regularization with Convex Objectives
Hongseok Namkoong · John Duchi
Poster
Tue 18:30 Nonlinear Acceleration of Stochastic Algorithms
Damien Scieur · Francis Bach · Alexandre d'Aspremont
Poster
Tue 18:30 Parallel Streaming Wasserstein Barycenters
Matt Staib · Sebastian Claici · Justin Solomon · Stefanie Jegelka
Poster
Tue 18:30 Geometric Descent Method for Convex Composite Minimization
Shixiang Chen · Shiqian Ma · Wei Liu
Poster
Mon 18:30 Federated Multi-Task Learning
Virginia Smith · Chao-Kai Chiang · Maziar Sanjabi · Ameet S Talwalkar
Poster
Mon 18:30 Integration Methods and Optimization Algorithms
Damien Scieur · Vincent Roulet · Francis Bach · Alexandre d'Aspremont
Poster
Tue 18:30 Adaptive Accelerated Gradient Converging Method under H\"{o}lderian Error Bound Condition
Mingrui Liu · Tianbao Yang
Poster
Tue 18:30 Doubly Accelerated Stochastic Variance Reduced Dual Averaging Method for Regularized Empirical Risk Minimization
Tomoya Murata · Taiji Suzuki
Poster
Tue 18:30 Linear Convergence of a Frank-Wolfe Type Algorithm over Trace-Norm Balls
Zeyuan Allen-Zhu · Elad Hazan · Wei Hu · Yuanzhi Li
Poster
Wed 18:30 Accuracy First: Selecting a Differential Privacy Level for Accuracy Constrained ERM
Katrina Ligett · Seth Neel · Aaron Roth · Bo Waggoner · Steven Wu
Poster
Tue 18:30 When Cyclic Coordinate Descent Outperforms Randomized Coordinate Descent
Mert Gurbuzbalaban · Asuman Ozdaglar · Pablo A Parrilo · Nuri Vanli
Poster
Tue 18:30 Asynchronous Parallel Coordinate Minimization for MAP Inference
Ofer Meshi · Alex Schwing