Poster

Tue 14:00

Hogwild! over Distributed Local Data Sets with Linearly Increasing Mini-Batch Sizes
Nhuong Nguyen · Toan Nguyen · PHUONG HA NGUYEN · Quoc Tran-Dinh · Lam Nguyen · Marten van Dijk

Poster

Tue 14:00

Sharp Analysis of a Simple Model for Random Forests
Jason Klusowski

Poster

Tue 14:00

A constrained risk inequality for general losses
John Duchi · Feng Ruan

Poster

Tue 14:00

SONIA: A Symmetric Blockwise Truncated Optimization Algorithm
Majid Jahani · MohammadReza Nazari · Rachael Tappenden · Albert Berahas · Martin Takac

Poster

Tue 14:00

Generalization of Quasi-Newton Methods: Application to Robust Symmetric Multisecant Updates
Damien Scieur · Lewis Liu · Thomas Pumir · Nicolas Boumal

Poster

Tue 18:30

Revisiting the Role of Euler Numerical Integration on Acceleration and Stability in Convex Optimization
Peiyuan Zhang · Antonio Orvieto · Hadi Daneshmand · Thomas Hofmann · Roy S. Smith

Poster

Tue 18:30

Generalization Bounds for Stochastic Saddle Point Problems
Junyu Zhang · Mingyi Hong · Mengdi Wang · Shuzhong Zhang

Poster

Wed 6:00

Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms
Alicia Curth · Mihaela van der Schaar

Poster

Wed 6:00

Kernel Distributionally Robust Optimization: Generalized Duality Theorem and Stochastic Approximation
Jia-Jie Zhu · Wittawat Jitkrittum · Moritz Diehl · Bernhard Schölkopf

Poster

Wed 6:00

Differentiating the Value Function by using Convex Duality
Sheheryar Mehmood · Peter Ochs

Poster

Wed 6:00

A Linearly Convergent Algorithm for Decentralized Optimization: Sending Less Bits for Free!
Dmitry Kovalev · Anastasia Koloskova · Martin Jaggi · Peter Richtarik · Sebastian Stich

Poster

Wed 6:00

Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes
Qi Lei · Sai Ganesh Nagarajan · Ioannis Panageas · xiao wang