Probability

Quilting Stochastic Kronecker Product Graphs to Generate Multiplicative Attribute Graphs AISTATS 2012 Random Utility Theory for Social Choice NeurIPS 2012 Rare Probability Estimation under Regularly Varying Heavy Tails COLT 2012 Scalable Inference on Kingman’s Coalescent using Pair Similarity AISTATS 2012 Sparse Approximate Manifolds for Differential Geometric MCMC NeurIPS 2012 Statistical Consistency of Ranking Methods in A Rank-Differentiable Probability Space NeurIPS 2012 Stick-Breaking Beta Processes and the Poisson Process AISTATS 2012 The Coloured Noise Expansion and Parameter Estimation of Diffusion Processes NeurIPS 2012 Transelliptical Graphical Models NeurIPS 2012 Accelerated Adaptive Markov Chain for Partition Function Computation NeurIPS 2011 A General Linear Non-Gaussian State-Space Model: Identifiability, Identification, and Applications ACML 2011 Analytical Results for the Error in Filtering of Gaussian Processes NeurIPS 2011 Bounds on Individual Risk for Log-loss Predictors COLT 2011 Does an Efficient Calibrated Forecasting Strategy Exist? COLT 2011 Finite Time Analysis of Stratified Sampling for Monte Carlo NeurIPS 2011 Gaussian process modulated renewal processes NeurIPS 2011 Generalized Beta Mixtures of Gaussians NeurIPS 2011 How biased are maximum entropy models? NeurIPS 2011 Inference in continuous-time change-point models NeurIPS 2011 On the Estimation of α-Divergences AISTATS 2011 Switch-Reset Models : Exact and Approximate Inference AISTATS 2011 A novel family of non-parametric cumulative based divergences for point processes NeurIPS 2010 Approximate inference in continuous time Gaussian-Jump processes NeurIPS 2010 b-Bit Minwise Hashing for Estimating Three-Way Similarities NeurIPS 2010 Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning NeurIPS 2010