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10 Program Highlights »
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Oral
Tue Dec 5th 10:40 -- 10:55 AM @ Hall A
Diffusion Approximations for Online Principal Component Estimation and Global Convergence
Chris Junchi Li · Mengdi Wang · Tong Zhang
Oral
Tue Dec 5th 10:55 -- 11:10 AM @ Hall A
Positive-Unlabeled Learning with Non-Negative Risk Estimator
Ryuichi Kiryo · Gang Niu · Marthinus C du Plessis · Masashi Sugiyama
Oral
Tue Dec 5th 11:10 -- 11:25 AM @ Hall A
Approximation Bounds for Hierarchical Clustering: Average Linkage, Bisecting K-means, and Local Search
Benjamin Moseley · Joshua Wang
Spotlight
Tue Dec 5th 11:25 -- 11:30 AM @ Hall A
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen · Harri Valpola
Spotlight
Tue Dec 5th 11:30 -- 11:35 AM @ Hall A
Communication-Efficient Stochastic Gradient Descent, with Applications to Neural Networks
Dan Alistarh · Demjan Grubic · Jerry Li · Ryota Tomioka · Milan Vojnovic
Spotlight
Tue Dec 5th 11:35 -- 11:40 AM @ Hall A
Inhomogoenous Hypergraph Clustering with Applications
Pan Li · Olgica Milenkovic
Spotlight
Tue Dec 5th 11:40 -- 11:45 AM @ Hall A
K-Medoids For K-Means Seeding
James Newling · Fran├žois Fleuret
Spotlight
Tue Dec 5th 11:45 -- 11:50 AM @ Hall A
Online Learning with Transductive Regret
Scott Yang · Mehryar Mohri
Spotlight
Tue Dec 5th 11:50 -- 11:55 AM @ Hall A
Matrix Norm Estimation from a Few Entries
Ashish Khetan · Sewoong Oh
Spotlight
Tue Dec 5th 11:55 AM -- 12:00 PM @ Hall A
Semisupervised Clustering, AND-Queries and Locally Encodable Source Coding
Arya Mazumdar · Soumyabrata Pal