Papers
Principal Component Analysis on non-Gaussian Dependent Data
Fang Han, Han Liu
Fast Conical Hull Algorithms for Near-separable Non-negative Matrix Factorization
Abhishek Kumar, Vikas Sindhwani, Prabhanjan Kambadur
Connecting the Dots with Landmarks: Discriminatively Learning Domain-Invariant Features for Unsupervised Domain Adaptation
Boqing Gong, Kristen Grauman, Fei Sha
Fixed-Point Model For Structured Labeling
Quannan Li, Jingdong Wang, David Wipf et al.
The Pairwise Piecewise-Linear Embedding for Efficient Non-Linear Classification
Ofir Pele, Ben Taskar, Amir Globerson et al.
Discriminatively Activated Sparselets
Ross Girshick, Hyun Oh Song, Trevor Darrell
A Machine Learning Framework for Programming by Example
Aditya Menon, Omer Tamuz, Sumit Gulwani et al.
Modelling Sparse Dynamical Systems with Compressed Predictive State Representations
William L. Hamilton, Mahdi Milani Fard, Joelle Pineau
Convex formulations of radius-margin based Support Vector Machines
Huyen Do, Alexandros Kalousis
Near-optimal Batch Mode Active Learning and Adaptive Submodular Optimization
Yuxin Chen, Andreas Krause
Combinatorial Multi-Armed Bandit: General Framework and Applications
Wei Chen, Yajun Wang, Yang Yuan
Learning Hash Functions Using Column Generation
Xi Li, Guosheng Lin, Chunhua Shen et al.
Cost-Sensitive Tree of Classifiers
Zhixiang Xu, Matt Kusner, Kilian Weinberger et al.
Gibbs Max-Margin Topic Models with Fast Sampling Algorithms
Jun Zhu, Ning Chen, Hugh Perkins et al.
Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures
James Bergstra, Daniel Yamins, David Cox
Risk Bounds and Learning Algorithms for the Regression Approach to Structured Output Prediction
Sébastien Giguère, François Laviolette, Mario Marchand et al.
Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models
Sinead Williamson, Avinava Dubey, Eric Xing
Noisy Sparse Subspace Clustering
Yu-Xiang Wang, Huan Xu
Stochastic Alternating Direction Method of Multipliers
Hua Ouyang, Niao He, Long Tran et al.
Fast Probabilistic Optimization from Noisy Gradients
Philipp Hennig
Block-Coordinate Frank-Wolfe Optimization for Structural SVMs
Simon Lacoste-Julien, Martin Jaggi, Mark Schmidt et al.
Sparse Uncorrelated Linear Discriminant Analysis
Xiaowei Zhang, Delin Chu
Sparsity-Based Generalization Bounds for Predictive Sparse Coding
Nishant Mehta, Alexander Gray
Near-Optimal Bounds for Cross-Validation via Loss Stability
Ravi Kumar, Daniel Lokshtanov, Sergei Vassilvitskii et al.