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Spotlight
Thu Jul 21 12:30 PM -- 12:35 PM (PDT) @ Room 310
Global Optimization Networks
In Optimization/Probabilistic Methods
Sen Zhao · Erez Louidor · Maya Gupta
Spotlight
Thu Jul 21 12:35 PM -- 12:40 PM (PDT) @ 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
Thu Jul 21 12:40 PM -- 12:45 PM (PDT) @ Room 310
Delay-Adaptive Step-sizes for Asynchronous Learning
In Optimization/Probabilistic Methods
Xuyang Wu · Sindri Magnusson · Hamid Reza Feyzmahdavian · Mikael Johansson
Spotlight
Thu Jul 21 12:45 PM -- 12:50 PM (PDT) @ 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
Thu Jul 21 12:50 PM -- 12:55 PM (PDT) @ Room 310
Learning Augmented Binary Search Trees
In Optimization/Probabilistic Methods
Honghao Lin · Tian Luo · David Woodruff
Spotlight
Thu Jul 21 12:55 PM -- 01:00 PM (PDT) @ Room 310
Communication-efficient Distributed Learning for Large Batch Optimization
In Optimization/Probabilistic Methods
Rui Liu · Barzan Mozafari
Oral
Thu Jul 21 01:00 PM -- 01:20 PM (PDT) @ Room 310
Born-Infeld (BI) for AI: Energy-Conserving Descent (ECD) for Optimization
In Optimization/Probabilistic Methods
Giuseppe Bruno De Luca · Eva Silverstein
Spotlight
Thu Jul 21 01:20 PM -- 01:25 PM (PDT) @ Room 310
A Simple Guard for Learned Optimizers
In Optimization/Probabilistic Methods
Isabeau Prémont-Schwarz · Jaroslav Vítků · Jan Feyereisl
Spotlight
Thu Jul 21 01:25 PM -- 01:30 PM (PDT) @ 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
Thu Jul 21 01:30 PM -- 01:35 PM (PDT) @ Room 310
Multi-Level Branched Regularization for Federated Learning
In Optimization/Probabilistic Methods
Jinkyu Kim · Geeho Kim · Bohyung Han
Spotlight
Thu Jul 21 01:35 PM -- 01:40 PM (PDT) @ Room 310
Revisiting the Effects of Stochasticity for Hamiltonian Samplers
In Optimization/Probabilistic Methods
Giulio Franzese · Dimitrios Milios · Maurizio Filippone · Pietro Michiardi
Spotlight
Thu Jul 21 01:40 PM -- 01:45 PM (PDT) @ Room 310
Scaling Structured Inference with Randomization
In Optimization/Probabilistic Methods
Yao Fu · John Cunningham · Mirella Lapata
Spotlight
Thu Jul 21 01:45 PM -- 01:50 PM (PDT) @ Room 310
Discrete Tree Flows via Tree-Structured Permutations
In Optimization/Probabilistic Methods
Mai Elkady · Jim Lim · David I. Inouye
Spotlight
Thu Jul 21 01:50 PM -- 01:55 PM (PDT) @ Room 310
Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation
In Optimization/Probabilistic Methods
Volodymyr Kuleshov · Shachi Deshpande