Probability

Copula Processes NeurIPS 2010 Empirical Risk Minimization with Approximations of Probabilistic Grammars NeurIPS 2010 Exact learning curves for Gaussian process regression on large random graphs NeurIPS 2010 Fractionally Predictive Spiking Neurons NeurIPS 2010 Improving the Asymptotic Performance of Markov Chain Monte-Carlo by Inserting Vortices NeurIPS 2010 REGO: Rank-based Estimation of Renyi Information using Euclidean Graph Optimization AISTATS 2010 Risk Bounds for Levy Processes in the PAC-Learning Framework AISTATS 2010 Throttling Poisson Processes NeurIPS 2010 A General Projection Property for Distribution Families NeurIPS 2009 A Stochastic approximation method for inference in probabilistic graphical models NeurIPS 2009 Construction of Nonparametric Bayesian Models from Parametric Bayes Equations NeurIPS 2009 Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies NeurIPS 2009 Know Thy Neighbour: A Normative Theory of Synaptic Depression NeurIPS 2009 Learning with Compressible Priors NeurIPS 2009 Maximum likelihood trajectories for continuous-time Markov chains NeurIPS 2009 Non-stationary continuous dynamic Bayesian networks NeurIPS 2009 Optimal context separation of spiking haptic signals by second-order somatosensory neurons NeurIPS 2009 Perceptual Multistability as Markov Chain Monte Carlo Inference NeurIPS 2009 Riffled Independence for Ranked Data NeurIPS 2009 Sensitivity analysis in HMMs with application to likelihood maximization NeurIPS 2009 Characteristic Kernels on Groups and Semigroups NeurIPS 2008 Characterizing neural dependencies with copula models NeurIPS 2008 Modeling Short-term Noise Dependence of Spike Counts in Macaque Prefrontal Cortex NeurIPS 2008 Near-minimax recursive density estimation on the binary hypercube NeurIPS 2008 Short-Term Depression in VLSI Stochastic Synapse NeurIPS 2008