Skip to yearly menu bar Skip to main content


(14 events)   Timezone:  
Show all
Toggle Poster Visibility
Spotlight
Fri Jul 22 04:30 AM -- 04:35 AM (KST) @ Room 310
Global Optimization Networks
In Optimization/Probabilistic Methods
Sen Zhao · Erez Louidor · Maya Gupta
Spotlight
Fri Jul 22 04:35 AM -- 04:40 AM (KST) @ Room 310
Generalized Federated Learning via Sharpness Aware Minimization
In Optimization/Probabilistic Methods
Zhe Qu · Xingyu Li · Rui Duan · Yao Liu · Bo Tang · Zhuo Lu
Spotlight
Fri Jul 22 04:40 AM -- 04:45 AM (KST) @ Room 310
Delay-Adaptive Step-sizes for Asynchronous Learning
In Optimization/Probabilistic Methods
Xuyang Wu · Sindri Magnusson · Hamid Reza Feyzmahdavian · Mikael Johansson
Spotlight
Fri Jul 22 04:45 AM -- 04:50 AM (KST) @ Room 310
FedScale: Benchmarking Model and System Performance of Federated Learning at Scale
In Optimization/Probabilistic Methods
Fan Lai · Yinwei Dai · Sanjay Singapuram · Jiachen Liu · Xiangfeng Zhu · Harsha Madhyastha · Mosharaf Chowdhury
Spotlight
Fri Jul 22 04:50 AM -- 04:55 AM (KST) @ Room 310
Learning Augmented Binary Search Trees
In Optimization/Probabilistic Methods
Honghao Lin · Tian Luo · David Woodruff
Spotlight
Fri Jul 22 04:55 AM -- 05:00 AM (KST) @ Room 310
Communication-efficient Distributed Learning for Large Batch Optimization
In Optimization/Probabilistic Methods
Rui Liu · Barzan Mozafari
Oral
Fri Jul 22 05:00 AM -- 05:20 AM (KST) @ Room 310
Born-Infeld (BI) for AI: Energy-Conserving Descent (ECD) for Optimization
In Optimization/Probabilistic Methods
Giuseppe Bruno De Luca · Eva Silverstein
Spotlight
Fri Jul 22 05:20 AM -- 05:25 AM (KST) @ Room 310
A Simple Guard for Learned Optimizers
In Optimization/Probabilistic Methods
Isabeau Prémont-Schwarz · Jaroslav Vítků · Jan Feyereisl
Spotlight
Fri Jul 22 05:25 AM -- 05:30 AM (KST) @ Room 310
An Exact Symbolic Reduction of Linear Smart Predict+Optimize to Mixed Integer Linear Programming
In Optimization/Probabilistic Methods
Jihwan Jeong · Parth Jaggi · Andrew Butler · Scott Sanner
Spotlight
Fri Jul 22 05:30 AM -- 05:35 AM (KST) @ Room 310
Multi-Level Branched Regularization for Federated Learning
In Optimization/Probabilistic Methods
Jinkyu Kim · Geeho Kim · Bohyung Han
Spotlight
Fri Jul 22 05:35 AM -- 05:40 AM (KST) @ Room 310
Revisiting the Effects of Stochasticity for Hamiltonian Samplers
In Optimization/Probabilistic Methods
Giulio Franzese · Dimitrios Milios · Maurizio Filippone · Pietro Michiardi
Spotlight
Fri Jul 22 05:40 AM -- 05:45 AM (KST) @ Room 310
Scaling Structured Inference with Randomization
In Optimization/Probabilistic Methods
Yao Fu · John Cunningham · Mirella Lapata
Spotlight
Fri Jul 22 05:45 AM -- 05:50 AM (KST) @ Room 310
Discrete Tree Flows via Tree-Structured Permutations
In Optimization/Probabilistic Methods
Mai Elkady · Jim Lim · David I. Inouye
Spotlight
Fri Jul 22 05:50 AM -- 05:55 AM (KST) @ Room 310
Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation
In Optimization/Probabilistic Methods
Volodymyr Kuleshov · Shachi Deshpande