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