Probabilistic Modeling

Bayesian Exponential Family PCA NeurIPS 2008 Bayesian Model of Behaviour in Economic Games NeurIPS 2008 Characterizing neural dependencies with copula models NeurIPS 2008 Characterizing response behavior in multisensory perception with conflicting cues NeurIPS 2008 Continuously-adaptive discretization for message-passing algorithms NeurIPS 2008 Correlated Bigram LSA for Unsupervised Language Model Adaptation NeurIPS 2008 Counting Solution Clusters in Graph Coloring Problems Using Belief Propagation NeurIPS 2008 Covariance Estimation for High Dimensional Data Vectors Using the Sparse Matrix Transform NeurIPS 2008 Dependent Dirichlet Process Spike Sorting NeurIPS 2008 Efficient Direct Density Ratio Estimation for Non-stationarity Adaptation and Outlier Detection NeurIPS 2008 Efficient Exact Inference in Planar Ising Models NeurIPS 2008 Efficient Sampling for Gaussian Process Inference using Control Variables NeurIPS 2008 Evaluating probabilities under high-dimensional latent variable models NeurIPS 2008 Exact Convex Confidence-Weighted Learning NeurIPS 2008 Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM NeurIPS 2008 Fast Computation of Posterior Mode in Multi-Level Hierarchical Models NeurIPS 2008 Gates NeurIPS 2008 Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity NeurIPS 2008 Generative and Discriminative Learning with Unknown Labeling Bias NeurIPS 2008 Hierarchical Fisher Kernels for Longitudinal Data NeurIPS 2008 How memory biases affect information transmission: A rational analysis of serial reproduction NeurIPS 2008 Implicit Mixtures of Restricted Boltzmann Machines NeurIPS 2008 Learning Transformational Invariants from Natural Movies NeurIPS 2008 Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction NeurIPS 2008 MAS: a multiplicative approximation scheme for probabilistic inference NeurIPS 2008