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42 Results
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Poster
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Tue 9:00 |
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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Tue 9:00 |
Adaptive Newton Method for Empirical Risk Minimization to Statistical Accuracy Aryan Mokhtari · Hadi Daneshmand · Aurelien Lucchi · Thomas Hofmann · Alejandro Ribeiro |
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Poster
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Wed 9:00 |
Single Pass PCA of Matrix Products Shanshan Wu · Srinadh Bhojanapalli · Sujay Sanghavi · Alex Dimakis |
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Poster
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Wed 9:00 |
The Sound of APALM Clapping: Faster Nonsmooth Nonconvex Optimization with Stochastic Asynchronous PALM Damek Davis · Brent Edmunds · Madeleine Udell |
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Poster
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Tue 9:00 |
Coresets for Scalable Bayesian Logistic Regression Jonathan Huggins · Trevor Campbell · Tamara Broderick |
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Poster
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Mon 9:00 |
Dual Space Gradient Descent for Online Learning Trung Le · Tu Nguyen · Vu Nguyen · Dinh Phung |
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Poster
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Mon 9:00 |
Tensor Switching Networks Chuan-Yung Tsai · Andrew M Saxe · David Cox |
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Poster
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Tue 9:00 |
Stochastic Gradient Geodesic MCMC Methods Chang Liu · Jun Zhu · Yang Song |
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Poster
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Wed 9:00 |
Orthogonal Random Features Felix Xinnan Yu · Ananda Theertha Suresh · Krzysztof M Choromanski · Daniel Holtmann-Rice · Sanjiv Kumar |
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Oral
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Wed 2:00 |
Orthogonal Random Features Felix Xinnan Yu · Ananda Theertha Suresh · Krzysztof M Choromanski · Daniel Holtmann-Rice · Sanjiv Kumar |
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Poster
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Wed 9:00 |
Discriminative Gaifman Models Mathias Niepert |
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Poster
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Mon 9:00 |
Learning brain regions via large-scale online structured sparse dictionary learning Elvis DOHMATOB · Arthur Mensch · Gael Varoquaux · Bertrand Thirion |