Artificial Intelligence

Improving posterior marginal approximations in latent Gaussian models AISTATS 2010 Inference and communication in the game of Password NeurIPS 2010 Inference and Learning in Networks of Queues AISTATS 2010 Inference with Multivariate Heavy-Tails in Linear Models NeurIPS 2010 Inferring Stimulus Selectivity from the Spatial Structure of Neural Network Dynamics NeurIPS 2010 Infinite Predictor Subspace Models for Multitask Learning AISTATS 2010 Inter-time segment information sharing for non-homogeneous dynamic Bayesian networks NeurIPS 2010 Interval Estimation for Reinforcement-Learning Algorithms in Continuous-State Domains NeurIPS 2010 Joint Analysis of Time-Evolving Binary Matrices and Associated Documents NeurIPS 2010 Large Margin Multi-Task Metric Learning NeurIPS 2010 Layered image motion with explicit occlusions, temporal consistency, and depth ordering NeurIPS 2010 Layer-wise analysis of deep networks with Gaussian kernels NeurIPS 2010 Learning Causal Structure from Overlapping Variable Sets AISTATS 2010 Learning concept graphs from text with stick-breaking priors NeurIPS 2010 Learning Efficient Markov Networks NeurIPS 2010 Learning from Logged Implicit Exploration Data NeurIPS 2010 Learning invariant features using the Transformed Indian Buffet Process NeurIPS 2010 Learning Multiple Tasks using Manifold Regularization NeurIPS 2010 Learning Multiple Tasks with a Sparse Matrix-Normal Penalty NeurIPS 2010 Learning Non-Stationary Dynamic Bayesian Networks JMLR 2010 Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors NeurIPS 2010 Learning the context of a category NeurIPS 2010 Learning to combine foveal glimpses with a third-order Boltzmann machine NeurIPS 2010 Learning to localise sounds with spiking neural networks NeurIPS 2010 libDAI: A Free and Open Source C++ Library for Discrete Approximate Inference in Graphical Models JMLR 2010