Papers
4,122 papers found
Neyman-Pearson Classification, Convexity and Stochastic Constraints
Philippe Rigollet, Xin Tong
Non-Parametric Estimation of Topic Hierarchies from Texts with Hierarchical Dirichlet Processes
Elias Zavitsanos, Georgios Paliouras, George A. Vouros
-Norm Multiple Kernel Learning
Marius Kloft, Ulf Brefeld, Sören Sonnenburg et al.
On Equivalence Relationships Between Classification and Ranking Algorithms
Şeyda Ertekin, Cynthia Rudin
Operator Norm Convergence of Spectral Clustering on Level Sets
Bruno Pelletier, Pierre Pudlo
Parallel Algorithm for Learning Optimal Bayesian Network Structure
Yoshinori Tamada, Seiya Imoto, Satoru Miyano
Parameter Screening and Optimisation for ILP using Designed Experiments
Ashwin Srinivasan, Ganesh Ramakrishnan
Posterior Sparsity in Unsupervised Dependency Parsing
Jennifer Gillenwater, Kuzman Ganchev, Joã
Producing Power-Law Distributions and Damping Word Frequencies with Two-Stage Language Models
Sharon Goldwater, Thomas L. Griffiths, Mark Johnson
Proximal Methods for Hierarchical Sparse Coding
Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski et al.
Regression on Fixed-Rank Positive Semidefinite Matrices: A Riemannian Approach
Gilles Meyer, Silvère Bonnabel, Rodolphe Sepulchre
Robust Approximate Bilinear Programming for Value Function Approximation
Marek Petrik, Shlomo Zilberstein
Robust Gaussian Process Regression with a Student- Likelihood
Pasi Jylänki, Jarno Vanhatalo, Aki Vehtari
Scikit-learn: Machine Learning in Python
Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort et al.
Semi-Supervised Learning with Measure Propagation
Amarnag Subramanya, Jeff Bilmes
Sparse Linear Identifiable Multivariate Modeling
Ricardo Henao, Ole Winther
Stochastic Methods for -regularized Loss Minimization
Shai Shalev-Shwartz, Ambuj Tewari
Structured Variable Selection with Sparsity-Inducing Norms
Rodolphe Jenatton, Jean-Yves Audibert, Francis Bach
Super-Linear Convergence of Dual Augmented Lagrangian Algorithm for Sparsity Regularized Estimation
Ryota Tomioka, Taiji Suzuki, Masashi Sugiyama
The arules R-Package Ecosystem: Analyzing Interesting Patterns from Large Transaction Data Sets
Michael Hahsler, Sudheer Chelluboina, Kurt Hornik et al.
The Indian Buffet Process: An Introduction and Review
Thomas L. Griffiths, Zoubin Ghahramani
Theoretical Analysis of Bayesian Matrix Factorization
Shinichi Nakajima, Masashi Sugiyama