Papers
The Large Margin Mechanism for Differentially Private Maximization
Kamalika Chaudhuri, Daniel J. Hsu, Shuang Song
The limits of squared Euclidean distance regularization
Michal Derezinski, Manfred K. Warmuth
The Noisy Power Method: A Meta Algorithm with Applications
Moritz Hardt, Eric Price
Tight Bounds for Influence in Diffusion Networks and Application to Bond Percolation and Epidemiology
Remi Lemonnier, Kevin Scaman, Nicolas Vayatis
Tight Continuous Relaxation of the Balanced k-Cut Problem
Syama Sundar Rangapuram, Pramod Kaushik Mudrakarta, Matthias Hein
Tight convex relaxations for sparse matrix factorization
Emile Richard, Guillaume R. Obozinski, Jean-Philippe Vert
Tighten after Relax: Minimax-Optimal Sparse PCA in Polynomial Time
Zhaoran Wang, Huanran Lu, Han Liu
Time--Data Tradeoffs by Aggressive Smoothing
John J Bruer, Joel A Tropp, Volkan Cevher et al.
Top Rank Optimization in Linear Time
Nan Li, Rong Jin, Zhi-Hua Zhou
Transportability from Multiple Environments with Limited Experiments: Completeness Results
Elias Bareinboim, Judea Pearl
Tree-structured Gaussian Process Approximations
Thang D Bui, Richard E Turner
Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets
Jie Wang, Jieping Ye
Two-Stream Convolutional Networks for Action Recognition in Videos
Karen Simonyan, Andrew Zisserman
Universal Option Models
hengshuai yao, Csaba Szepesvari, Richard S. Sutton et al.
Unsupervised Deep Haar Scattering on Graphs
Xu Chen, Xiuyuan Cheng, Stephane Mallat
Unsupervised learning of an efficient short-term memory network
Pietro Vertechi, Wieland Brendel, Christian K. Machens
Unsupervised Transcription of Piano Music
Taylor Berg-Kirkpatrick, Jacob Andreas, Dan Klein
Using Convolutional Neural Networks to Recognize Rhythm Stimuli from Electroencephalography Recordings
Sebastian Stober, Daniel J Cameron, Jessica A Grahn
Variational Gaussian Process State-Space Models
Roger Frigola, Yutian Chen, Carl Edward Rasmussen
Weakly-supervised Discovery of Visual Pattern Configurations
Hyun Oh Song, Yong Jae Lee, Stefanie Jegelka et al.
Weighted importance sampling for off-policy learning with linear function approximation
A. Rupam Mahmood, Hado P van Hasselt, Richard S. Sutton
Zero-shot recognition with unreliable attributes
Dinesh Jayaraman, Kristen Grauman
Zeta Hull Pursuits: Learning Nonconvex Data Hulls
Yuanjun Xiong, Wei Liu, Deli Zhao et al.
Accelerated Mini-Batch Stochastic Dual Coordinate Ascent
Shai Shalev-Shwartz, Tong Zhang
Accelerating Stochastic Gradient Descent using Predictive Variance Reduction
Rie Johnson, Tong Zhang