Statistics

On the Estimation of α-Divergences AISTATS 2011 Quasi-Newton Methods for Markov Chain Monte Carlo NeurIPS 2011 Signal Estimation Under Random Time-Warpings and Nonlinear Signal Alignment NeurIPS 2011 Sparse Linear Identifiable Multivariate Modeling JMLR 2011 Statistical Performance of Convex Tensor Decomposition NeurIPS 2011 Structural equations and divisive normalization for energy-dependent component analysis NeurIPS 2011 A generalization of the Multiple-try Metropolis algorithm for Bayesian estimation and model selection AISTATS 2010 An Exponential Model for Infinite Rankings JMLR 2010 A novel family of non-parametric cumulative based divergences for point processes NeurIPS 2010 Collaborative Filtering via Rating Concentration AISTATS 2010 Composite Binary Losses JMLR 2010 Deterministic Bayesian inference for the $p*$ model AISTATS 2010 Empirical Bernstein Inequalities for U-Statistics NeurIPS 2010 Model Selection: Beyond the Bayesian/Frequentist Divide JMLR 2010 Scrambled Objects for Least-Squares Regression NeurIPS 2010 Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models NeurIPS 2010 Stochastic Composite Likelihood JMLR 2010 Adaptive False Discovery Rate Control under Independence and Dependence JMLR 2009 A Fast, Consistent Kernel Two-Sample Test NeurIPS 2009 A General Projection Property for Distribution Families NeurIPS 2009 Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing NeurIPS 2009 A unified framework for high-dimensional analysis of M-estimators with decomposable regularizers NeurIPS 2009 Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies NeurIPS 2009 Efficient Moments-based Permutation Tests NeurIPS 2009 Entropy Inference and the James-Stein Estimator, with Application to Nonlinear Gene Association Networks JMLR 2009