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Oral
Wed Jun 12 11:00 AM -- 11:20 AM (PDT) @ Room 103
Distributed Learning with Sublinear Communication
Jayadev Acharya · Christopher De Sa · Dylan Foster · Karthik Sridharan
Oral
Wed Jun 12 11:20 AM -- 11:25 AM (PDT) @ Room 103
On the Linear Speedup Analysis of Communication Efficient Momentum SGD for Distributed Non-Convex Optimization
Hao Yu · rong jin · Sen Yang
Oral
Wed Jun 12 11:25 AM -- 11:30 AM (PDT) @ Room 103
Stochastic Gradient Push for Distributed Deep Learning
Mahmoud Assran · Nicolas Loizou · Nicolas Ballas · Michael Rabbat
Oral
Wed Jun 12 11:30 AM -- 11:35 AM (PDT) @ Room 103
Collective Model Fusion for Multiple Black-Box Experts
Minh Hoang · Nghia Hoang · Bryan Kian Hsiang Low · Carleton Kingsford
Oral
Wed Jun 12 11:35 AM -- 11:40 AM (PDT) @ Room 103
Trading Redundancy for Communication: Speeding up Distributed SGD for Non-convex Optimization
Farzin Haddadpour · Mohammad Mahdi Kamani · Mehrdad Mahdavi · Viveck Cadambe
Oral
Wed Jun 12 11:40 AM -- 12:00 PM (PDT) @ Room 103
Trimming the $\ell_1$ Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning
Jihun Yun · Peng Zheng · Eunho Yang · Aurelie Lozano · Aleksandr Aravkin
Oral
Wed Jun 12 12:00 PM -- 12:05 PM (PDT) @ Room 103
Compressed Factorization: Fast and Accurate Low-Rank Factorization of Compressively-Sensed Data
Vatsal Sharan · Kai Sheng Tai · Peter Bailis · Gregory Valiant
Oral
Wed Jun 12 12:05 PM -- 12:10 PM (PDT) @ Room 103
Noisy Dual Principal Component Pursuit
Tianyu Ding · Zhihui Zhu · Tianjiao Ding · Yunchen Yang · Daniel Robinson · Manolis Tsakiris · Rene Vidal
Oral
Wed Jun 12 12:10 PM -- 12:15 PM (PDT) @ Room 103
Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling
Shanshan Wu · Alexandros Dimakis · Sujay Sanghavi · Felix Xinnan Yu · Daniel Holtmann-Rice · Dmitry Storcheus · Afshin Rostamizadeh · Sanjiv Kumar
Oral
Wed Jun 12 12:15 PM -- 12:20 PM (PDT) @ Room 103
Screening rules for Lasso with non-convex Sparse Regularizers
alain rakotomamonjy · Gilles Gasso · Joseph Salmon