Statistics

Linear readout from a neural population with partial correlation data NeurIPS 2010 Multi-Stage Dantzig Selector NeurIPS 2010 On the relation between universality, characteristic kernels and RKHS embedding of measures AISTATS 2010 Rates of convergence for the cluster tree NeurIPS 2010 Rescaling, thinning or complementing? On goodness-of-fit procedures for point process models and Generalized Linear Models NeurIPS 2010 Scrambled Objects for Least-Squares Regression NeurIPS 2010 Smoothness, Low Noise and Fast Rates NeurIPS 2010 Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models NeurIPS 2010 A Fast, Consistent Kernel Two-Sample Test NeurIPS 2009 Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing NeurIPS 2009 AUC optimization and the two-sample problem NeurIPS 2009 Canonical Time Warping for Alignment of Human Behavior NeurIPS 2009 Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies NeurIPS 2009 Data-driven calibration of linear estimators with minimal penalties NeurIPS 2009 Distribution-Calibrated Hierarchical Classification NeurIPS 2009 Distribution Matching for Transduction NeurIPS 2009 Efficient Moments-based Permutation Tests NeurIPS 2009 Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions NeurIPS 2009 Lower bounds on minimax rates for nonparametric regression with additive sparsity and smoothness NeurIPS 2009 Submanifold density estimation NeurIPS 2009 The Wisdom of Crowds in the Recollection of Order Information NeurIPS 2009 Thresholding Procedures for High Dimensional Variable Selection and Statistical Estimation NeurIPS 2009 Time-rescaling methods for the estimation and assessment of non-Poisson neural encoding models NeurIPS 2009 A Convex Upper Bound on the Log-Partition Function for Binary Distributions NeurIPS 2008 An improved estimator of Variance Explained in the presence of noise NeurIPS 2008