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Oral
Tue Dec 05 10:40 AM -- 10:55 AM (PST) @ Hall A
Diffusion Approximations for Online Principal Component Estimation and Global Convergence
In
Algorithms
Oral
Tue Dec 05 10:55 AM -- 11:10 AM (PST) @ Hall A
Positive-Unlabeled Learning with Non-Negative Risk Estimator
In
Algorithms
Oral
Tue Dec 05 11:10 AM -- 11:25 AM (PST) @ Hall A
Approximation Bounds for Hierarchical Clustering: Average Linkage, Bisecting K-means, and Local Search
In
Algorithms
Spotlight
Tue Dec 05 11:25 AM -- 11:30 AM (PST) @ Hall A
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
In
Algorithms
Spotlight
Tue Dec 05 11:30 AM -- 11:35 AM (PST) @ Hall A
Communication-Efficient Stochastic Gradient Descent, with Applications to Neural Networks
In
Algorithms
Spotlight
Tue Dec 05 11:35 AM -- 11:40 AM (PST) @ Hall A
Inhomogoenous Hypergraph Clustering with Applications
In
Algorithms
Spotlight
Tue Dec 05 11:40 AM -- 11:45 AM (PST) @ Hall A
K-Medoids For K-Means Seeding
In
Algorithms
Spotlight
Tue Dec 05 11:45 AM -- 11:50 AM (PST) @ Hall A
Online Learning with Transductive Regret
In
Algorithms
Spotlight
Tue Dec 05 11:50 AM -- 11:55 AM (PST) @ Hall A
Matrix Norm Estimation from a Few Entries
In
Algorithms
Spotlight
Tue Dec 05 11:55 AM -- 12:00 PM (PST) @ Hall A
Semisupervised Clustering, AND-Queries and Locally Encodable Source Coding
In
Algorithms