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Poster
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Mon 9:00
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The non-convex Burer-Monteiro approach works on smooth semidefinite programs
Nicolas Boumal · Vlad Voroninski · Afonso Bandeira
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Poster
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Mon 9:00
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Scaled Least Squares Estimator for GLMs in Large-Scale Problems
Murat Erdogdu · Lee H Dicker · Mohsen Bayati
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Poster
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Tue 9:00
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Simple and Efficient Weighted Minwise Hashing
Anshumali Shrivastava
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Poster
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Tue 9:00
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Minimizing Quadratic Functions in Constant Time
Kohei Hayashi · Yuichi Yoshida
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Workshop
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Sat 5:50
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Invited Talk: Optimizing Large-Scale Machine Learning Pipelines with KeystoneML (Tomer Kaftan, UW)
Tomer Kaftan
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Poster
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Tue 9:00
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Coresets for Scalable Bayesian Logistic Regression
Jonathan Huggins · Trevor Campbell · Tamara Broderick
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Poster
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Mon 9:00
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Gradient-based Sampling: An Adaptive Importance Sampling for Least-squares
Rong Zhu
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Poster
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Wed 9:00
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A Probabilistic Framework for Deep Learning
Ankit Patel · Tan Nguyen · Richard Baraniuk
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Poster
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Tue 9:00
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Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images
Junhua Mao · Jiajing Xu · Kevin Jing · Alan Yuille
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Poster
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Tue 9:00
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Sub-sampled Newton Methods with Non-uniform Sampling
Peng Xu · Jiyan Yang · Farbod Roosta-Khorasani · Christopher Ré · Michael Mahoney
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Poster
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Mon 9:00
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Learning brain regions via large-scale online structured sparse dictionary learning
Elvis DOHMATOB · Arthur Mensch · Gael Varoquaux · Bertrand Thirion
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Poster
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Mon 9:00
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A Multi-Batch L-BFGS Method for Machine Learning
Albert Berahas · Jorge Nocedal · Martin Takac
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