Papers
High-Dimensional Covariance Decomposition into Sparse Markov and Independence Models
Majid Janzamin, Animashree Anandkumar
Iteration Complexity of Feasible Descent Methods for Convex Optimization
Po-Wei Wang, Chih-Jen Lin
Locally Adaptive Factor Processes for Multivariate Time Series
Daniele Durante, Bruno Scarpa, David B. Dunson
Training Highly Multiclass Classifiers
Maya R. Gupta, Samy Bengio, Jason Weston
Manopt, a Matlab Toolbox for Optimization on Manifolds
Nicolas Boumal, Bamdev Mishra, P.-A. Absil et al.
Adaptive Sampling for Large Scale Boosting
Charles Dubout, Francois Fleuret
Towards Ultrahigh Dimensional Feature Selection for Big Data
Mingkui Tan, Ivor W. Tsang, Li Wang
Structured Prediction via Output Space Search
Janardhan Rao Doppa, Alan Fern, Prasad Tadepalli
Follow the Leader If You Can, Hedge If You Must
Steven de Rooij, Tim van Erven, Peter D. Grünwald et al.
Robust Near-Separable Nonnegative Matrix Factorization Using Linear Optimization
Nicolas Gillis, Robert Luce
Bayesian Nonparametric Comorbidity Analysis of Psychiatric Disorders
Francisco J. R. Ruiz, Isabel Valera, Carlos Blanco et al.
Prediction and Clustering in Signed Networks: A Local to Global Perspective
Kai-Yang Chiang, Cho-Jui Hsieh, Nagarajan Natarajan et al.
New Learning Methods for Supervised and Unsupervised Preference Aggregation
Maksims N. Volkovs, Richard S. Zemel
A Reliable Effective Terascale Linear Learning System
Alekh Agarwal, Oliveier Chapelle, Miroslav Dudík et al.
Gibbs Max-margin Topic Models with Data Augmentation
Jun Zhu, Ning Chen, Hugh Perkins et al.
Improving Prediction from Dirichlet Process Mixtures via Enrichment
Sara Wade, David B. Dunson, Sonia Petrone et al.
Conditional Random Field with High-order Dependencies for Sequence Labeling and Segmentation
Nguyen Viet Cuong, Nan Ye, Wee Sun Lee et al.
Natural Evolution Strategies
Daan Wierstra, Tom Schaul, Tobias Glasmachers et al.
An Extension of Slow Feature Analysis for Nonlinear Blind Source Separation
Henning Sprekeler, Tiziano Zito, Laurenz Wiskott
Active Learning Using Smooth Relative Regret Approximations with Applications
Nir Ailon, Ron Begleiter, Esther Ezra
Policy Evaluation with Temporal Differences: A Survey and Comparison
Christoph Dann, Gerhard Neumann, Jan Peters
A Novel M-Estimator for Robust PCA
Teng Zhang, Gilad Lerman
Clustering Hidden Markov Models with Variational HEM
Emanuele Coviello, Antoni B. Chan, Gert R.G. Lanckriet