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Poster
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Thu 6:00
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Multi-Task Learning with User Preferences: Gradient Descent with Controlled Ascent in Pareto Optimization
Debabrata Mahapatra · Vaibhav Rajan
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Poster
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Thu 6:00
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Universal Asymptotic Optimality of Polyak Momentum
Damien Scieur · Fabian Pedregosa
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Poster
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Tue 9:00
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Nearly Linear Row Sampling Algorithm for Quantile Regression
Yi Li · Ruosong Wang · Lin Yang · Hanrui Zhang
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Poster
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Tue 7:00
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The Buckley-Osthus model and the block preferential attachment model: statistical analysis and application
Wenpin Tang · Xin Guo · Fengmin Tang
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Poster
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Wed 5:00
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Accelerating Large-Scale Inference with Anisotropic Vector Quantization
Ruiqi Guo · Philip Sun · Erik Lindgren · Quan Geng · David Simcha · Felix Chern · Sanjiv Kumar
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Poster
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Tue 18:00
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Logistic Regression for Massive Data with Rare Events
HaiYing Wang
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Poster
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Wed 13:00
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Growing Adaptive Multi-hyperplane Machines
Nemanja Djuric · Zhuang Wang · Slobodan Vucetic
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Poster
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Wed 8:00
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Sets Clustering
Ibrahim Jubran · Murad Tukan · Alaa Maalouf · Dan Feldman
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Poster
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Tue 14:00
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Training Neural Networks for and by Interpolation
Leonard Berrada · Andrew Zisserman · M. Pawan Kumar
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Poster
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Wed 10:00
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AdaScale SGD: A User-Friendly Algorithm for Distributed Training
Tyler Johnson · Pulkit Agrawal · Haijie Gu · Carlos Guestrin
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Poster
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Tue 13:00
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Optimal Randomized First-Order Methods for Least-Squares Problems
Jonathan Lacotte · Mert Pilanci
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Poster
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Tue 18:00
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Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal Generalization
Pan Zhou · Xiao-Tong Yuan
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