Papers
Classifier Selection using the Predicate Depth
Ran Gilad-Bachrach, Christopher J.C. Burges
Classifying With Confidence From Incomplete Information
Nathan Parrish, Hyrum S. Anderson, Maya R. Gupta et al.
Lovasz theta function, SVMs and Finding Dense Subgraphs
Vinay Jethava, Anders Martinsson, Chiranjib Bhattacharyya et al.
Learning Theory Analysis for Association Rules and Sequential Event Prediction
Cynthia Rudin, Benjamin Letham, David Madigan
Consistent Selection of Tuning Parameters via Variable Selection Stability
Wei Sun, Junhui Wang, Yixin Fang
Sparse Matrix Inversion with Scaled Lasso
Tingni Sun, Cun-Hui Zhang
PC Algorithm for Nonparanormal Graphical Models
Naftali Harris, Mathias Drton
Communication-Efficient Algorithms for Statistical Optimization
Yuchen Zhang, John C. Duchi, Martin J. Wainwright
Fast MCMC Sampling for Markov Jump Processes and Extensions
Vinayak Rao, Yee Whye Teh
Multivariate Convex Regression with Adaptive Partitioning
Lauren A. Hannah, David B. Dunson
Counterfactual Reasoning and Learning Systems: The Example of Computational Advertising
Léon Bottou, Jonas Peters, Joaquin Quiñonero-Candela et al.
GURLS: A Least Squares Library for Supervised Learning
Andrea Tacchetti, Pavan K. Mallapragada, Matteo Santoro et al.
Divvy: Fast and Intuitive Exploratory Data Analysis
Joshua M. Lewis, Virginia R. de Sa, Laurens van der Maaten
QuantMiner for Mining Quantitative Association Rules
Ansaf Salleb-Aouissi, Christel Vrain, Cyril Nortet et al.
Large-scale SVD and Manifold Learning
Ameet Talwalkar, Sanjiv Kumar, Mehryar Mohri et al.
Algorithms and Hardness Results for Parallel Large Margin Learning
Philip M. Long, Rocco A. Servedio
Stationary-Sparse Causality Network Learning
Yuejia He, Yiyuan She, Dapeng Wu
Experiment Selection for Causal Discovery
Antti Hyttinen, Frederick Eberhardt, Patrik O. Hoyer
Multi-Stage Multi-Task Feature Learning
Pinghua Gong, Jieping Ye, Changshui Zhang
Parallel Vector Field Embedding
Binbin Lin, Xiaofei He, Chiyuan Zhang et al.
A Near-Optimal Algorithm for Differentially-Private Principal Components
Kamalika Chaudhuri, Anand D. Sarwate, Kaushik Sinha
The CAM Software for Nonnegative Blind Source Separation in R-Java
Niya Wang, Fan Meng, Li Chen et al.