Papers
Seeded Graph Matching for Correlated Erdos-Renyi Graphs
Vince Lyzinski, Donniell E. Fishkind, Carey E. Priebe
Multi-Objective Reinforcement Learning using Sets of Pareto Dominating Policies
Kristof Van Moffaert, Ann Nowé
Revisiting Stein's Paradox: Multi-Task Averaging
Sergey Feldman, Maya R. Gupta, Bela A. Frigyik
Efficient Learning and Planning with Compressed Predictive States
William Hamilton, Mahdi Milani Fard, Joelle Pineau
SPMF: A Java Open-Source Pattern Mining Library
Philippe Fournier-Viger, Antonio Gomariz, Ted Gueniche et al.
On the Bayes-Optimality of F-Measure Maximizers
Willem Waegeman, Krzysztof Dembczyński, Arkadiusz Jachnik et al.
Convolutional Nets and Watershed Cuts for Real-Time Semantic Labeling of RGBD Videos
Camille Couprie, Clément Farabet, Laurent Najman et al.
The Gesture Recognition Toolkit
Nicholas Gillian, Joseph A. Paradiso
Alternating Linearization for Structured Regularization Problems
Xiaodong Lin, Minh Pham, Andrzej Ruszczyński
Statistical Analysis of Metric Graph Reconstruction
Fabrizio Lecci, Alessandro Rinaldo, Larry Wasserman
Matrix Completion with the Trace Norm: Learning, Bounding, and Transducing
Ohad Shamir, Shai Shalev-Shwartz
Active Contextual Policy Search
Alexander Fabisch, Jan Hendrik Metzen
Inconsistency of Pitman-Yor Process Mixtures for the Number of Components
Jeffrey W. Miller, Matthew T. Harrison
Learning Graphical Models With Hubs
Kean Ming Tan, Palma London, Karthik Mohan et al.
Set-Valued Approachability and Online Learning with Partial Monitoring
Shie Mannor, Vianney Perchet, Gilles Stoltz
Accelerating t-SNE using Tree-Based Algorithms
Laurens van der Maaten
Robust Online Gesture Recognition with Crowdsourced Annotations
Long-Van Nguyen-Dinh, Alberto Calatroni, Gerhard Tröster
ooDACE Toolbox: A Flexible Object-Oriented Kriging Implementation
Ivo Couckuyt, Tom Dhaene, Piet Demeester
Do we Need Hundreds of Classifiers to Solve Real World Classification Problems?
Manuel Fernández-Delgado, Eva Cernadas, Senén Barro et al.
Recursive Teaching Dimension, VC-Dimension and Sample Compression
Thorsten Doliwa, Gaojian Fan, Hans Ulrich Simon et al.
High-Dimensional Learning of Linear Causal Networks via Inverse Covariance Estimation
Po-Ling Loh, Peter Bühlmann
Effective String Processing and Matching for Author Disambiguation
Wei-Sheng Chin, Yong Zhuang, Yu-Chin Juan et al.
Bayesian Co-Boosting for Multi-modal Gesture Recognition
Jiaxiang Wu, Jian Cheng
Optimal Data Collection For Informative Rankings Expose Well-Connected Graphs
Braxton Osting, Christoph Brune, Stanley J. Osher
Multimodal Learning with Deep Boltzmann Machines
Nitish Srivastava, Ruslan Salakhutdinov