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Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #24
A Linearly Convergent Proximal Gradient Algorithm for Decentralized Optimization
In Algorithms -- Large Scale Learning
Sulaiman Alghunaim · Kun Yuan · Ali H Sayed
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #25
Asymptotics for Sketching in Least Squares Regression
In Algorithms -- Large Scale Learning
Edgar Dobriban · Sifan Liu
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #26
DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation
In Algorithms -- Large Scale Learning
Shashank Rajput · Hongyi Wang · Zachary Charles · Dimitris Papailiopoulos
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #27
Large-scale optimal transport map estimation using projection pursuit
In Algorithms -- Large Scale Learning
Cheng Meng · Yuan Ke · Jingyi Zhang · Mengrui Zhang · Wenxuan Zhong · Ping Ma
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #28
Locality-Sensitive Hashing for f-Divergences: Mutual Information Loss and Beyond
In Algorithms -- Large Scale Learning
Lin Chen · Hossein Esfandiari · Gang Fu · Vahab Mirrokni
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #29
Massively scalable Sinkhorn distances via the Nyström method
In Algorithms -- Large Scale Learning
Jason Altschuler · Francis Bach · Alessandro Rudi · Jonathan Niles-Weed
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #30
On the Global Convergence of (Fast) Incremental Expectation Maximization Methods
In Algorithms -- Large Scale Learning
Belhal Karimi · Hoi-To Wai · Eric Moulines · Marc Lavielle
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #31
Optimal Sparsity-Sensitive Bounds for Distributed Mean Estimation
In Algorithms -- Large Scale Learning
zengfeng Huang · Ziyue Huang · Yilei WANG · Ke Yi
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #32
Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification and Local Computations
In Algorithms -- Large Scale Learning
Debraj Basu · Deepesh Data · Can Karakus · Suhas Diggavi
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #33
Random Projections with Asymmetric Quantization
In Algorithms -- Large Scale Learning
Xiaoyun Li · Ping Li
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #34
Re-randomized Densification for One Permutation Hashing and Bin-wise Consistent Weighted Sampling
In Algorithms -- Large Scale Learning
Ping Li · Xiaoyun Li · Cun-Hui Zhang
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #35
Robust and Communication-Efficient Collaborative Learning
In Algorithms -- Large Scale Learning
Amirhossein Reisizadeh · Hossein Taheri · Aryan Mokhtari · Hamed Hassani · Ramtin Pedarsani
[ Paper]  [ Poster]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #36
Sampled Softmax with Random Fourier Features
In Algorithms -- Large Scale Learning
Ankit Singh Rawat · Jiecao Chen · Felix Xinnan Yu · Ananda Theertha Suresh · Sanjiv Kumar
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #37
Extreme Classification in Log Memory using Count-Min Sketch: A Case Study of Amazon Search with 50M Products
In Algorithms -- Large Scale Learning
Tharun Kumar Reddy Medini · Qixuan Huang · Yiqiu Wang · Vijai Mohan · Anshumali Shrivastava
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #38
Sliced Gromov-Wasserstein
In Algorithms -- Large Scale Learning
Titouan Vayer · Rémi Flamary · Nicolas Courty · Romain Tavenard · Laetitia Chapel
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #39
SySCD: A System-Aware Parallel Coordinate Descent Algorithm
In Algorithms -- Large Scale Learning
Nikolas Ioannou · Celestine Mendler-Dünner · Thomas Parnell
[ Paper]  [ Poster]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #40
GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism
In Algorithms -- Large Scale Learning
Yanping Huang · Youlong Cheng · Ankur Bapna · Orhan Firat · Dehao Chen · Mia Chen · HyoukJoong Lee · Jiquan Ngiam · Quoc V Le · Yonghui Wu · zhifeng Chen
[ Paper]  [ Poster]  [ Slides]