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Oral
Wed Dec 06 02:50 PM -- 03:05 PM (PST) @ Hall C
The Marginal Value of Adaptive Gradient Methods in Machine Learning
In Optimization
Ashia C Wilson · Becca Roelofs · Mitchell Stern · Nati Srebro · Benjamin Recht
Oral
Wed Dec 06 03:05 PM -- 03:20 PM (PST) @ Hall C
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent
In Optimization
Xiangru Lian · Ce Zhang · Huan Zhang · Cho-Jui Hsieh · Wei Zhang · Ji Liu
Spotlight
Wed Dec 06 03:20 PM -- 03:25 PM (PST) @ Hall C
Breaking the Nonsmooth Barrier: A Scalable Parallel Method for Composite Optimization
In Optimization
Fabian Pedregosa · Rémi Leblond · Simon Lacoste-Julien
Spotlight
Wed Dec 06 03:25 PM -- 03:30 PM (PST) @ Hall C
Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite Sum Structure
In Optimization
Alberto Bietti · Julien Mairal
Spotlight
Wed Dec 06 03:30 PM -- 03:35 PM (PST) @ Hall C
Process-constrained batch Bayesian optimisation
In Optimization
Pratibha Vellanki · Santu Rana · Sunil Gupta · David Rubin · Alessandra Sutti · Thomas Dorin · Murray Height · Paul Sanders · Svetha Venkatesh
Spotlight
Wed Dec 06 03:35 PM -- 03:40 PM (PST) @ Hall C
Safe Adaptive Importance Sampling
In Optimization
Sebastian Stich · Anant Raj · Martin Jaggi
Spotlight
Wed Dec 06 03:40 PM -- 03:45 PM (PST) @ Hall C
Beyond Worst-case: A Probabilistic Analysis of Affine Policies in Dynamic Optimization
In Optimization
Omar El Housni · Vineet Goyal
Spotlight
Wed Dec 06 03:45 PM -- 03:50 PM (PST) @ Hall C
Straggler Mitigation in Distributed Optimization Through Data Encoding
In Optimization
Can Karakus · Yifan Sun · Suhas Diggavi · Wotao Yin