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Poster
Tue 7:00 All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference
Rob Brekelmans · Vaden Masrani · Frank Wood · Greg Ver Steeg · Aram Galstyan
Poster
Tue 7:00 Online Learning for Active Cache Synchronization
Andrey Kolobov · Sebastien Bubeck · Julian Zimmert
Poster
Tue 7:00 Maximum-and-Concatenation Networks
Xingyu Xie · Hao Kong · Jianlong Wu · Wayne Zhang · Guangcan Liu · Zhouchen Lin
Poster
Tue 8:00 Is Local SGD Better than Minibatch SGD?
Blake Woodworth · Kumar Kshitij Patel · Sebastian Stich · Zhen Dai · Brian Bullins · Brendan McMahan · Ohad Shamir · Nati Srebro
Poster
Tue 9:00 Retrieval Augmented Language Model Pre-Training
Kelvin Guu · Kenton Lee · Zora Tung · Panupong Pasupat · Mingwei Chang
Poster
Tue 9:00 Fast OSCAR and OWL Regression via Safe Screening Rules
Runxue Bao · Bin Gu · Heng Huang
Poster
Tue 10:00 SCAFFOLD: Stochastic Controlled Averaging for Federated Learning
Sai Praneeth Reddy Karimireddy · Satyen Kale · Mehryar Mohri · Sashank Jakkam Reddi · Sebastian Stich · Ananda Theertha Suresh
Poster
Tue 13:00 StochasticRank: Global Optimization of Scale-Free Discrete Functions
Aleksei Ustimenko · Liudmila Prokhorenkova
Poster
Tue 14:00 Why Are Learned Indexes So Effective?
Paolo Ferragina · Fabrizio Lillo · Giorgio Vinciguerra
Poster
Tue 15:00 When deep denoising meets iterative phase retrieval
Yaotian Wang · Xiaohang Sun · Jason Fleischer
Poster
Tue 15:00 Invertible generative models for inverse problems: mitigating representation error and dataset bias
Muhammad Asim · Grady Daniels · Oscar Leong · Ali Ahmed · Paul Hand
Poster
Tue 18:00 Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal Generalization
Pan Zhou · Xiao-Tong Yuan