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