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(10 events)   Timezone: America/Chicago  
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Oral
Tue Dec 05 12:40 PM -- 12:55 PM (CST) @ Hall A
Diffusion Approximations for Online Principal Component Estimation and Global Convergence
Chris Junchi Li · Mengdi Wang · Tong Zhang
Oral
Tue Dec 05 12:55 PM -- 01:10 PM (CST) @ Hall A
Positive-Unlabeled Learning with Non-Negative Risk Estimator
Ryuichi Kiryo · Gang Niu · Marthinus C du Plessis · Masashi Sugiyama
Oral
Tue Dec 05 01:10 PM -- 01:25 PM (CST) @ Hall A
Approximation Bounds for Hierarchical Clustering: Average Linkage, Bisecting K-means, and Local Search
Benjamin Moseley · Joshua Wang
Spotlight
Tue Dec 05 01:25 PM -- 01:30 PM (CST) @ 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 05 01:30 PM -- 01:35 PM (CST) @ 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 05 01:35 PM -- 01:40 PM (CST) @ Hall A
Inhomogoenous Hypergraph Clustering with Applications
Pan Li · Olgica Milenkovic
Spotlight
Tue Dec 05 01:40 PM -- 01:45 PM (CST) @ Hall A
K-Medoids For K-Means Seeding
James Newling · François Fleuret
Spotlight
Tue Dec 05 01:45 PM -- 01:50 PM (CST) @ Hall A
Online Learning with Transductive Regret
Scott Yang · Mehryar Mohri
Spotlight
Tue Dec 05 01:50 PM -- 01:55 PM (CST) @ Hall A
Matrix Norm Estimation from a Few Entries
Ashish Khetan · Sewoong Oh
Spotlight
Tue Dec 05 01:55 PM -- 02:00 PM (CST) @ Hall A
Semisupervised Clustering, AND-Queries and Locally Encodable Source Coding
Arya Mazumdar · Soumyabrata Pal