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8 Program Highlights »
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Oral
Wed Dec 6th 02:50 -- 03:05 PM @ Hall C
The Marginal Value of Adaptive Gradient Methods in Machine Learning
Ashia C Wilson · Rebecca Roelofs · Mitchell Stern · Nati Srebro · Benjamin Recht
Oral
Wed Dec 6th 03:05 -- 03:20 PM @ Hall C
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent
Xiangru Lian · Ce Zhang · Huan Zhang · Cho-Jui Hsieh · Wei Zhang · Ji Liu
Spotlight
Wed Dec 6th 03:20 -- 03:25 PM @ Hall C
Breaking the Nonsmooth Barrier: A Scalable Parallel Method for Composite Optimization
Fabian Pedregosa · RĂ©mi Leblond · Simon Lacoste-Julien
Spotlight
Wed Dec 6th 03:25 -- 03:30 PM @ Hall C
Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite Sum Structure
Alberto Bietti · Julien Mairal
Spotlight
Wed Dec 6th 03:30 -- 03:35 PM @ Hall C
Process-constrained batch Bayesian optimisation
Pratibha Vellanki · Santu Rana · Sunil Gupta · David Rubin · Alessandra Sutti · Thomas Dorin · Murray Height · Paul Sanders · Svetha Venkatesh
Spotlight
Wed Dec 6th 03:35 -- 03:40 PM @ Hall C
Safe Adaptive Importance Sampling
Sebastian Stich · Anant Raj · Martin Jaggi
Spotlight
Wed Dec 6th 03:40 -- 03:45 PM @ Hall C
Beyond Worst-case: A Probabilistic Analysis of Affine Policies in Dynamic Optimization
Omar El Housni · Vineet Goyal
Spotlight
Wed Dec 6th 03:45 -- 03:50 PM @ Hall C
Straggler Mitigation in Distributed Optimization Through Data Encoding
Can Karakus · Yifan Sun · Suhas Diggavi · Wotao Yin