asymptotic analysis

Achievability of Asymptotic Minimax Regret in Online and Batch Prediction ACML 2013 Asymptotic Results on Adaptive False Discovery Rate Controlling Procedures Based on Kernel Estimators JMLR 2013 Distributions of Angles in Random Packing on Spheres JMLR 2013 Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture NeurIPS 2013 Factorized Asymptotic Bayesian Inference for Latent Feature Models NeurIPS 2013 Factorized Asymptotic Bayesian Inference for Mixture Modeling AISTATS 2012 Learning curves for multi-task Gaussian process regression NeurIPS 2012 Wilks’ phenomenon and penalized likelihood-ratio test for nonparametric curve registration AISTATS 2012 Comparative Analysis of Viterbi Training and Maximum Likelihood Estimation for HMMs NeurIPS 2011 Information Rates and Optimal Decoding in Large Neural Populations NeurIPS 2011 Relational Learning with One Network: An Asymptotic Analysis AISTATS 2011 Asymptotically Optimal Regularization in Smooth Parametric Models NeurIPS 2009 Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing NeurIPS 2009 Discrete MDL Predicts in Total Variation NeurIPS 2009 On the Reliability of Clustering Stability in the Large Sample Regime NeurIPS 2008 Posterior Consistency of the Silverman g-prior in Bayesian Model Choice NeurIPS 2008 Sparseness vs Estimating Conditional Probabilities: Some Asymptotic Results JMLR 2007 Active learning for misspecified generalized linear models NeurIPS 2006 Asymptotic Model Selection for Naive Bayesian Networks JMLR 2005