JMLR 2016

236 papers

A Bounded p-norm Approximation of Max-Convolution for Sub-Quadratic Bayesian Inference on Additive Factors

Julianus Pfeuffer, Oliver Serang

OLPS: A Toolbox for On-Line Portfolio Selection

Bin Li, Doyen Sahoo, Steven C.H. Hoi

MLlib: Machine Learning in Apache Spark

Xiangrui Meng, Joseph Bradley, Burak Yavuz, Evan Sparks, Shivaram Venkataraman

Multi-task Sparse Structure Learning with Gaussian Copula Models

Andre R. Goncalves, Fernando J. Von Zuben, Arindam Banerjee

Distinguishing Cause from Effect Using Observational Data: Methods and Benchmarks

Joris M. Mooij, Jonas Peters, Dominik Janzing, Jakob Zscheischler, Bernhard Schölkopf

Dimension-free Concentration Bounds on Hankel Matrices for Spectral Learning

François Denis, Mattias Gybels, Amaury Habrard

A Gibbs Sampler for Learning DAGs

Robert J. B. Goudie, Sach Mukherjee

Consistent Distribution-Free K-Sample and Independence Tests for Univariate Random Variables

Ruth Heller, Yair Heller, Shachar Kaufman, Barak Brill, Malka Gorfine

Non-linear Causal Inference using Gaussianity Measures

Daniel Hernández-lobato, Pablo Morales-Mombiela, David Lopez-paz, Alberto Suárez

Statistical-Computational Tradeoffs in Planted Problems and Submatrix Localization with a Growing Number of Clusters and Submatrices

Yudong Chen, Jiaming Xu

Quantifying Uncertainty in Random Forests via Confidence Intervals and Hypothesis Tests

Lucas Mentch, Giles Hooker

A Unifying Framework in Vector-valued Reproducing Kernel Hilbert Spaces for Manifold Regularization and Co-Regularized Multi-view Learning

Ha Quang Minh, Loris Bazzani, Vittorio Murino

Learning Using Anti-Training with Sacrificial Data

Michael L. Valenzuela, Jerzy W. Rozenblit

A Closer Look at Adaptive Regret

Dmitry Adamskiy, Wouter M. Koolen, Alexey Chernov, Vladimir Vovk

Gradients Weights improve Regression and Classification

Samory Kpotufe, Abdeslam Boularias, Thomas Schultz, Kyoungok Kim

MEKA: A Multi-label/Multi-target Extension to WEKA

Jesse Read, Peter Reutemann, Bernhard Pfahringer, Geoff Holmes

Operator-valued Kernels for Learning from Functional Response Data

Hachem Kadri, Emmanuel Duflos, Philippe Preux, Stéphane Canu, Alain Rakotomamonjy

Analysis of Classification-based Policy Iteration Algorithms

Alessandro Lazaric, Mohammad Ghavamzadeh, Rémi Munos

Loss Minimization and Parameter Estimation with Heavy Tails

Daniel Hsu, Sivan Sabato

Extremal Mechanisms for Local Differential Privacy

Peter Kairouz, Sewoong Oh, Pramod Viswanath

A Consistent Information Criterion for Support Vector Machines in Diverging Model Spaces

Xiang Zhang, Yichao Wu, Lan Wang, Runze Li

LLORMA: Local Low-Rank Matrix Approximation

Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer, Samy Bengio

Convex Calibration Dimension for Multiclass Loss Matrices

Harish G. Ramaswamy, Shivani Agarwal

Learning the Variance of the Reward-To-Go

Aviv Tamar, Dotan Di Castro, Shie Mannor

Noisy Sparse Subspace Clustering

Yu-Xiang Wang, Huan Xu

Complexity of Representation and Inference in Compositional Models with Part Sharing

Alan Yuille, Roozbeh Mottaghi

Herded Gibbs Sampling

Yutian Chen, Luke Bornn, Nando de Freitas, Mareija Eskelin, Jing Fang

Harry: A Tool for Measuring String Similarity

Konrad Rieck, Christian Wressnegger

Knowledge Matters: Importance of Prior Information for Optimization

Caglar Gulcehre, Yoshua Bengio

Consistency and Fluctuations For Stochastic Gradient Langevin Dynamics

Yee Whye Teh, Alexandre H. Thiery, Sebastian J. Vollmer

Minimax Rates in Permutation Estimation for Feature Matching

Olivier Collier, Arnak S. Dalalyan

Should We Really Use Post-Hoc Tests Based on Mean-Ranks?

Alessio Benavoli, Giorgio Corani, Francesca Mangili

Random Rotation Ensembles

Rico Blaser, Piotr Fryzlewicz

Consistent Algorithms for Clustering Time Series

Azadeh Khaleghi, Daniil Ryabko, Jeremie Mary, Philippe Preux

Multiscale Dictionary Learning: Non-Asymptotic Bounds and Robustness

Mauro Maggioni, Stanislav Minsker, Nate Strawn

On the Complexity of Best-Arm Identification in Multi-Armed Bandit Models

Emilie Kaufmann, Olivier Cappe, Aurélien Garivier