Papers
Nonlinear causal discovery with additive noise models
Patrik O. Hoyer, Dominik Janzing, Joris M. Mooij et al.
Non-stationary dynamic Bayesian networks
Joshua W. Robinson, Alexander J. Hartemink
On the Design of Loss Functions for Classification: theory, robustness to outliers, and SavageBoost
Hamed Masnadi-shirazi, Nuno Vasconcelos
Variational Mixture of Gaussian Process Experts
Chao Yuan, Claus Neubauer
Online Optimization in X-Armed Bandits
Sébastien Bubeck, Gilles Stoltz, Csaba Szepesvári et al.
Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text
Yi Zhang, Artur Dubrawski, Jeff G. Schneider
Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction
Shay B. Cohen, Kevin Gimpel, Noah A. Smith
Playing Pinball with non-invasive BCI
Matthias Krauledat, Konrad Grzeska, Max Sagebaum et al.
Partially Observed Maximum Entropy Discrimination Markov Networks
Jun Zhu, Eric P. Xing, Bo Zhang
Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM
Kentaro Katahira, Jun Nishikawa, Kazuo Okanoya et al.
Adaptive Template Matching with Shift-Invariant Semi-NMF
Jonathan L. Roux, Alain D. Cheveigné, Lucas C. Parra
Learning a discriminative hidden part model for human action recognition
Yang Wang, Greg Mori
Improving on Expectation Propagation
Manfred Opper, Ulrich Paquet, Ole Winther
Global Ranking Using Continuous Conditional Random Fields
Tao Qin, Tie-yan Liu, Xu-dong Zhang et al.
Interpreting the neural code with Formal Concept Analysis
Dominik Endres, Peter Foldiak
Self-organization using synaptic plasticity
Vicençc Gómez, Andreas Kaltenbrunner, Vicente López et al.
Implicit Mixtures of Restricted Boltzmann Machines
Vinod Nair, Geoffrey E. Hinton
Extended Grassmann Kernels for Subspace-Based Learning
Jihun Hamm, Daniel D. Lee
Unsupervised Learning of Visual Sense Models for Polysemous Words
Kate Saenko, Trevor Darrell
Non-parametric Regression Between Manifolds
Florian Steinke, Matthias Hein
Near-optimal Regret Bounds for Reinforcement Learning
Peter Auer, Thomas Jaksch, Ronald Ortner
Localized Sliced Inverse Regression
Qiang Wu, Sayan Mukherjee, Feng Liang
Goal-directed decision making in prefrontal cortex: a computational framework
Matthew Botvinick, James An
Finding Latent Causes in Causal Networks: an Efficient Approach Based on Markov Blankets
Jean-philippe Pellet, André Elisseeff