Papers
Minimax Manifold Estimation
Christopher Genovese, Marco Perone-Pacifico, Isabella Verdinelli et al.
A Geometric Approach to Sample Compression
Benjamin I.P. Rubinstein, J. Hyam Rubinstein
A Multi-Stage Framework for Dantzig Selector and LASSO
Ji Liu, Peter Wonka, Jieping Ye
Towards Integrative Causal Analysis of Heterogeneous Data Sets and Studies
Ioannis Tsamardinos, Sofia Triantafillou, Vincenzo Lagani
Analysis of a Random Forests Model
Gérard Biau
The huge Package for High-dimensional Undirected Graph Estimation in R
Tuo Zhao, Han Liu, Kathryn Roeder et al.
Consistent Model Selection Criteria on High Dimensions
Yongdai Kim, Sunghoon Kwon, Hosik Choi
Positive Semidefinite Metric Learning Using Boosting-like Algorithms
Chunhua Shen, Junae Kim, Lei Wang et al.
Sampling Methods for the Nyström Method
Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar
Mal-ID: Automatic Malware Detection Using Common Segment Analysis and Meta-Features
Gil Tahan, Lior Rokach, Yuval Shahar
Stability of Density-Based Clustering
Alessandro Rinaldo, Aarti Singh, Rebecca Nugent et al.
Algebraic Geometric Comparison of Probability Distributions
Franz J. Király, Paul von Bünau, Frank C. Meinecke et al.
NIMFA : A Python Library for Nonnegative Matrix Factorization
Marinka Žitnik, Blaž Zupan
Causal Bounds and Observable Constraints for Non-deterministic Models
Roland R. Ramsahai
Algorithms for Learning Kernels Based on Centered Alignment
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
Exact Covariance Thresholding into Connected Components for Large-Scale Graphical Lasso
Rahul Mazumder, Trevor Hastie
GPLP: A Local and Parallel Computation Toolbox for Gaussian Process Regression
Chiwoo Park, Jianhua Z. Huang, Yu Ding
A Kernel Two-Sample Test
Arthur Gretton, Karsten M. Borgwardt, Malte J. Rasch et al.
A Case Study on Meta-Generalising: A Gaussian Processes Approach
Grigorios Skolidis, Guido Sanguinetti
Structured Sparsity and Generalization
Andreas Maurer, Massimiliano Pontil
Learning Algorithms for the Classification Restricted Boltzmann Machine
Hugo Larochelle, Michael Mandel, Razvan Pascanu et al.
Non-Sparse Multiple Kernel Fisher Discriminant Analysis
Fei Yan, Josef Kittler, Krystian Mikolajczyk et al.
A Primal-Dual Convergence Analysis of Boosting
Matus Telgarsky
ML-Flex: A Flexible Toolbox for Performing Classification Analyses In Parallel
Stephen R. Piccolo, Lewis J. Frey