Papers
Variance Reduction for Stochastic Gradient Optimization
Chong Wang, Xi Chen, Alexander J Smola et al.
Sketching Structured Matrices for Faster Nonlinear Regression
Haim Avron, Vikas Sindhwani, David Woodruff
Marginals-to-Models Reducibility
Tim Roughgarden, Michael Kearns
Direct 0-1 Loss Minimization and Margin Maximization with Boosting
Shaodan Zhai, Tian Xia, Ming Tan et al.
Real-Time Inference for a Gamma Process Model of Neural Spiking
David E Carlson, Vinayak Rao, Joshua T Vogelstein et al.
Learning with Invariance via Linear Functionals on Reproducing Kernel Hilbert Space
Xinhua Zhang, Wee Sun Lee, Yee Whye Teh
Polar Operators for Structured Sparse Estimation
Xinhua Zhang, Yao-Liang Yu, Dale Schuurmans
Top-Down Regularization of Deep Belief Networks
Hanlin Goh, Nicolas Thome, Matthieu Cord et al.
More data speeds up training time in learning halfspaces over sparse vectors
Amit Daniely, Nati Linial, Shai Shalev-Shwartz
Scalable Influence Estimation in Continuous-Time Diffusion Networks
Nan Du, Le Song, Manuel Gomez Rodriguez et al.
Compete to Compute
Rupesh K Srivastava, Jonathan Masci, Sohrob Kazerounian et al.
Online Robust PCA via Stochastic Optimization
Jiashi Feng, Huan Xu, Shuicheng Yan
Higher Order Priors for Joint Intrinsic Image, Objects, and Attributes Estimation
Vibhav Vineet, Carsten Rother, Philip Torr
Generalizing Analytic Shrinkage for Arbitrary Covariance Structures
Daniel Bartz, Klaus-Robert Müller
High-Dimensional Gaussian Process Bandits
Josip Djolonga, Andreas Krause, Volkan Cevher
A* Lasso for Learning a Sparse Bayesian Network Structure for Continuous Variables
Jing Xiang, Seyoung Kim
Exact and Stable Recovery of Pairwise Interaction Tensors
Shouyuan Chen, Michael R Lyu, Irwin King et al.
Dirty Statistical Models
Eunho Yang, Pradeep K Ravikumar
Multiscale Dictionary Learning for Estimating Conditional Distributions
Francesca Petralia, Joshua T Vogelstein, David B Dunson
Lasso Screening Rules via Dual Polytope Projection
Jie Wang, Jiayu Zhou, Peter Wonka et al.
The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited
Matthias Hein, Simon Setzer, Leonardo Jost et al.
Sensor Selection in High-Dimensional Gaussian Trees with Nuisances
Daniel S Levine, Jonathan P How
A Deep Architecture for Matching Short Texts
Zhengdong Lu, Hang Li