Statistics

CAKE: Convex Adaptive Kernel Density Estimation AISTATS 2011 Competitive Closeness Testing COLT 2011 From Stochastic Nonlinear Integrate-and-Fire to Generalized Linear Models NeurIPS 2011 How biased are maximum entropy models? NeurIPS 2011 Minimax Localization of Structural Information in Large Noisy Matrices NeurIPS 2011 Noise Thresholds for Spectral Clustering NeurIPS 2011 Statistical Performance of Convex Tensor Decomposition NeurIPS 2011 A novel family of non-parametric cumulative based divergences for point processes NeurIPS 2010 Estimation of Rényi Entropy and Mutual Information Based on Generalized Nearest-Neighbor Graphs NeurIPS 2010 Fast detection of multiple change-points shared by many signals using group LARS NeurIPS 2010 Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable NeurIPS 2010 Rate Minimaxity of the Lasso and Dantzig Selector for the Loss in Balls JMLR 2010 The LASSO risk: asymptotic results and real world examples NeurIPS 2010 Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies NeurIPS 2009 Efficient Moments-based Permutation Tests NeurIPS 2009 Submanifold density estimation NeurIPS 2009 Thresholding Procedures for High Dimensional Variable Selection and Statistical Estimation NeurIPS 2009 An improved estimator of Variance Explained in the presence of noise NeurIPS 2008 Covariance Estimation for High Dimensional Data Vectors Using the Sparse Matrix Transform NeurIPS 2008 Estimation of Information Theoretic Measures for Continuous Random Variables NeurIPS 2008 Model Selection in Gaussian Graphical Models: High-Dimensional Consistency of \boldmath$\ell_1$-regularized MLE NeurIPS 2008 On Bootstrapping the ROC Curve NeurIPS 2008 On the Reliability of Clustering Stability in the Large Sample Regime NeurIPS 2008 A Kernel Statistical Test of Independence NeurIPS 2007 Catching Change-points with Lasso NeurIPS 2007