Probability

-Nested Symmetric Distributions JMLR 2010 On Finding Predictors for Arbitrary Families of Processes JMLR 2010 On the relation between universality, characteristic kernels and RKHS embedding of measures AISTATS 2010 Scrambled Objects for Least-Squares Regression NeurIPS 2010 Stochastic Modeling of the Expected Time to Search for an Intermittent Signal Source Under a Limited Sensing Range RSS 2010 Worst-case bounds on the quality of max-product fixed-points NeurIPS 2010 A General Projection Property for Distribution Families NeurIPS 2009 A joint maximum-entropy model for binary neural population patterns and continuous signals NeurIPS 2009 Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies NeurIPS 2009 Hierarchical Modeling of Local Image Features through L_p-Nested Symmetric Distributions NeurIPS 2009 Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions NeurIPS 2009 Marginal Likelihood Integrals for Mixtures of Independence Models JMLR 2009 Neurometric function analysis of population codes NeurIPS 2009 Reproducing Kernel Banach Spaces for Machine Learning JMLR 2009 Riffled Independence for Ranked Data NeurIPS 2009 Sensitivity analysis in HMMs with application to likelihood maximization NeurIPS 2009 Which graphical models are difficult to learn? NeurIPS 2009 Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes NeurIPS 2008 Characteristic Kernels on Groups and Semigroups NeurIPS 2008 Characterizing neural dependencies with copula models NeurIPS 2008 Estimation of Information Theoretic Measures for Continuous Random Variables NeurIPS 2008 Inferring rankings under constrained sensing NeurIPS 2008 Metastable Walking on Stochastically Rough Terrain RSS 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