Probability

Toward Information Theoretic Human-Robot Dialog RSS 2012 Transelliptical Graphical Models NeurIPS 2012 A Model for Temporal Dependencies in Event Streams NeurIPS 2011 Confidence Sets for Network Structure NeurIPS 2011 Directional Statistics on Permutations AISTATS 2011 Finite Time Analysis of Stratified Sampling for Monte Carlo NeurIPS 2011 From Stochastic Nonlinear Integrate-and-Fire to Generalized Linear Models NeurIPS 2011 Generalization Bound for Infinitely Divisible Empirical Process AISTATS 2011 Inference in continuous-time change-point models NeurIPS 2011 Learning Eigenvectors for Free NeurIPS 2011 Phase transition in the family of p-resistances NeurIPS 2011 Probabilistic amplitude and frequency demodulation NeurIPS 2011 Query-Aware MCMC NeurIPS 2011 Sparse Recovery with Brownian Sensing NeurIPS 2011 Universality, Characteristic Kernels and RKHS Embedding of Measures JMLR 2011 A novel family of non-parametric cumulative based divergences for point processes NeurIPS 2010 b-Bit Minwise Hashing for Estimating Three-Way Similarities NeurIPS 2010 Empirical Bernstein Inequalities for U-Statistics NeurIPS 2010 Exact inference and learning for cumulative distribution functions on loopy graphs NeurIPS 2010 Exact learning curves for Gaussian process regression on large random graphs NeurIPS 2010 Fractionally Predictive Spiking Neurons NeurIPS 2010 Getting lost in space: Large sample analysis of the resistance distance NeurIPS 2010 Hilbert Space Embeddings and Metrics on Probability Measures JMLR 2010 Inference with Multivariate Heavy-Tails in Linear Models NeurIPS 2010 Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors NeurIPS 2010