Mathematics

Near-optimal Differentially Private Principal Components NeurIPS 2012 Neuronal Spike Generation Mechanism as an Oversampling, Noise-shaping A-to-D converter NeurIPS 2012 Nonconvex Penalization Using Laplace Exponents and Concave Conjugates NeurIPS 2012 Nonparametric Estimation of Conditional Information and Divergences AISTATS 2012 Nyström Method vs Random Fourier Features: A Theoretical and Empirical Comparison NeurIPS 2012 On Bisubmodular Maximization AISTATS 2012 Online Sum-Product Computation Over Trees NeurIPS 2012 On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models AISTATS 2012 On the Sample Complexity of Robust PCA NeurIPS 2012 On Triangular versus Edge Representations --- Towards Scalable Modeling of Networks NeurIPS 2012 Optimal kernel choice for large-scale two-sample tests NeurIPS 2012 Optimal Neural Tuning Curves for Arbitrary Stimulus Distributions: Discrimax, Infomax and Minimum L_p Loss NeurIPS 2012 Perceptron Learning of SAT NeurIPS 2012 Persistent Homology for Learning Densities with Bounded Support NeurIPS 2012 Provable ICA with Unknown Gaussian Noise, with Implications for Gaussian Mixtures and Autoencoders NeurIPS 2012 Quilting Stochastic Kronecker Product Graphs to Generate Multiplicative Attribute Graphs AISTATS 2012 Rare Probability Estimation under Regularly Varying Heavy Tails COLT 2012 Reconstruction from Anisotropic Random Measurements COLT 2012 Refinement of Operator-valued Reproducing Kernels JMLR 2012 Regression for sets of polynomial equations AISTATS 2012 Robust Kernel Density Estimation JMLR 2012 Scaled Gradients on Grassmann Manifolds for Matrix Completion NeurIPS 2012 Semiparametric Principal Component Analysis NeurIPS 2012 Semi-supervised Eigenvectors for Locally-biased Learning NeurIPS 2012 Smooth-projected Neighborhood Pursuit for High-dimensional Nonparanormal Graph Estimation NeurIPS 2012