Papers
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
QUIC: Quadratic Approximation for Sparse Inverse Covariance Estimation
Cho-Jui Hsieh, Mátyás A. Sustik, Inderjit S. Dhillon et al.
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression
Adel Javanmard, Andrea Montanari
Bayesian Entropy Estimation for Countable Discrete Distributions
Evan Archer, Il Memming Park, Jonathan W. Pillow
Tensor Decompositions for Learning Latent Variable Models
Animashree Anandkumar, Rong Ge, Daniel Hsu et al.
Optimality of Graphlet Screening in High Dimensional Variable Selection
Jiashun Jin, Cun-Hui Zhang, Qi Zhang
Efficient Occlusive Components Analysis
Marc Henniges, Richard E. Turner, Maneesh Sahani et al.
A Truncated EM Approach for Spike-and-Slab Sparse Coding
Abdul-Saboor Sheikh, Jacquelyn A. Shelton, Jörg Lücke
Efficient and Accurate Methods for Updating Generalized Linear Models with Multiple Feature Additions
Amit Dhurandhar, Marek Petrik
Boosting Algorithms for Detector Cascade Learning
Mohammad Saberian, Nuno Vasconcelos
Contextual Bandits with Similarity Information
Aleksandrs Slivkins
One-Shot-Learning Gesture Recognition using HOG-HOF Features
Jakub Konecny, Michal Hagara