Statistics

On the Sample Complexity of Robust PCA NeurIPS 2012 Optimal kernel choice for large-scale two-sample tests NeurIPS 2012 Reconstruction from Anisotropic Random Measurements COLT 2012 Robust Kernel Density Estimation JMLR 2012 Semiparametric Principal Component Analysis NeurIPS 2012 Smooth-projected Neighborhood Pursuit for High-dimensional Nonparanormal Graph Estimation NeurIPS 2012 Sparse Approximate Manifolds for Differential Geometric MCMC NeurIPS 2012 State Estimation for Legged Robots - Consistent Fusion of Leg Kinematics and IMU RSS 2012 Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses NeurIPS 2012 Testing for Membership to the IFRA and the NBU Classes of Distributions AISTATS 2012 The Banana Distribution is Gaussian: A Localization Study with Exponential Coordinates RSS 2012 The Perturbed Variation NeurIPS 2012 Transelliptical Component Analysis NeurIPS 2012 Universal Measurement Bounds for Structured Sparse Signal Recovery AISTATS 2012 Wavelet based multi-scale shape features on arbitrary surfaces for cortical thickness discrimination NeurIPS 2012 Wilks’ phenomenon and penalized likelihood-ratio test for nonparametric curve registration AISTATS 2012 A More Powerful Two-Sample Test in High Dimensions using Random Projection NeurIPS 2011 An Asymptotic Behaviour of the Marginal Likelihood for General Markov Models JMLR 2011 Comparative Analysis of Viterbi Training and Maximum Likelihood Estimation for HMMs NeurIPS 2011 Domain Decomposition Approach for Fast Gaussian Process Regression of Large Spatial Data Sets JMLR 2011 Finite Time Analysis of Stratified Sampling for Monte Carlo NeurIPS 2011 Group Lasso Estimation of High-dimensional Covariance Matrices JMLR 2011 Learning Auto-regressive Models from Sequence and Non-sequence Data NeurIPS 2011 Mapping Kernels Defined Over Countably Infinite Mapping Systems and their Application ACML 2011 Multi-Label Output Codes using Canonical Correlation Analysis AISTATS 2011