Papers
GPstuff: Bayesian Modeling with Gaussian Processes
Jarno Vanhatalo, Jaakko Riihimäki, Jouni Hartikainen et al.
Stress Functions for Nonlinear Dimension Reduction, Proximity Analysis, and Graph Drawing
Lisha Chen, Andreas Buja
Sparse Activity and Sparse Connectivity in Supervised Learning
Markus Thom, Günther Palm
Beyond Fano's Inequality: Bounds on the Optimal F-Score, BER, and Cost-Sensitive Risk and Their Implications
Ming-Jie Zhao, Narayanan Edakunni, Adam Pocock et al.
Bayesian Canonical Correlation Analysis
Arto Klami, Seppo Virtanen, Samuel Kaski
Query Induction with Schema-Guided Pruning Strategies
Joachim Niehren, Jérôme Champavère, Aurélien Lemay et al.
Truncated Power Method for Sparse Eigenvalue Problems
Xiao-Tong Yuan, Tong Zhang
A Widely Applicable Bayesian Information Criterion
Sumio Watanabe
Quasi-Newton Method: A New Direction
Philipp Hennig, Martin Kiefel
Greedy Sparsity-Constrained Optimization
Sohail Bahmani, Bhiksha Raj, Petros T. Boufounos
MLPACK: A Scalable C++ Machine Learning Library
Ryan R. Curtin, James R. Cline, N. P. Slagle et al.
Semi-Supervised Learning Using Greedy Max-Cut
Jun Wang, Tony Jebara, Shih-Fu Chang
Sparsity Regret Bounds for Individual Sequences in Online Linear Regression
Sébastien Gerchinovitz
Differential Privacy for Functions and Functional Data
Rob Hall, Alessandro Rinaldo, Larry Wasserman
Bayesian Nonparametric Hidden Semi-Markov Models
Matthew J. Johnson, Alan S. Willsky
CODA: High Dimensional Copula Discriminant Analysis
Fang Han, Tuo Zhao, Han Liu
A C++ Template-Based Reinforcement Learning Library: Fitting the Code to the Mathematics
Hervé Frezza-Buet, Matthieu Geist
Optimal Discovery with Probabilistic Expert Advice: Finite Time Analysis and Macroscopic Optimality
Sébastien Bubeck, Damien Ernst, Aurélien Garivier
Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization
Shai Shalev-Shwartz, Tong Zhang
Algorithms for Discovery of Multiple Markov Boundaries
Alexander Statnikov, Nikita I. Lytkin, Jan Lemeire et al.
A Theory of Multiclass Boosting
Indraneel Mukherjee, Robert E. Schapire
Ranked Bandits in Metric Spaces: Learning Diverse Rankings over Large Document Collections
Aleksandrs Slivkins, Filip Radlinski, Sreenivas Gollapudi
Fast Generalized Subset Scan for Anomalous Pattern Detection
Edward McFowland III, Skyler Speakman, Daniel B. Neill