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Poster
Wed 12:45 A Deterministic Streaming Sketch for Ridge Regression
Benwei Shi · Jeff Phillips
Poster
Wed 12:45 Large Scale K-Median Clustering for Stable Clustering Instances
Konstantin Voevodski
Poster
Tue 18:30 One-Round Communication Efficient Distributed M-Estimation
Yajie Bao · Weijia Xiong
Poster
Thu 7:30 Critical Parameters for Scalable Distributed Learning with Large Batches and Asynchronous Updates
Sebastian Stich · Amirkeivan Mohtashami · Martin Jaggi
Poster
Tue 14:00 Convergence and Accuracy Trade-Offs in Federated Learning and Meta-Learning
Zachary Charles · Jakub Konečný
Poster
Tue 18:30 vqSGD: Vector Quantized Stochastic Gradient Descent
Venkata Gandikota · Daniel Kane · Raj Kumar Maity · Arya Mazumdar
Poster
Wed 12:45 Towards Flexible Device Participation in Federated Learning
Yichen Ruan · Xiaoxi Zhang · Shu-Che Liang · Carlee Joe-Wong
Poster
Wed 12:45 Completing the Picture: Randomized Smoothing Suffers from the Curse of Dimensionality for a Large Family of Distributions
Yihan Wu · Aleksandar Bojchevski · Aleksei Kuvshinov · Stephan Günnemann
Poster
Tue 18:30 Communication Efficient Primal-Dual Algorithm for Nonconvex Nonsmooth Distributed Optimization
Congliang Chen · Jiawei Zhang · Li Shen · Peilin Zhao · Zhiquan Luo
Poster
Tue 18:30 Bayesian Model Averaging for Causality Estimation and its Approximation based on Gaussian Scale Mixture Distributions
Shunsuke Horii
Poster
Wed 12:45 Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors
Nikhil Mehta · Kevin Liang · Vinay Kumar Verma · Lawrence Carin Duke
Poster
Tue 14:00 Sharp Analysis of a Simple Model for Random Forests
Jason Klusowski