parameter estimation

Empirical Localization of Homogeneous Divergences on Discrete Sample Spaces NeurIPS 2015 Estimating Mixture Models via Mixtures of Polynomials NeurIPS 2015 High Dimensional EM Algorithm: Statistical Optimization and Asymptotic Normality NeurIPS 2015 Human Memory Search as Initial-Visit Emitting Random Walk NeurIPS 2015 Learning Parametric-Output HMMs with Two Aliased States ICML 2015 Learning with Relaxed Supervision NeurIPS 2015 Matrix Manifold Optimization for Gaussian Mixtures NeurIPS 2015 Parameter Estimation of Generalized Linear Models without Assuming their Link Function AISTATS 2015 Super-Resolution Off the Grid NeurIPS 2015 The Likelihood-Ratio Test and Efficient Robust Estimation ICCV 2015 Alternating Minimization for Mixed Linear Regression ICML 2014 A Statistical Perspective on Algorithmic Leveraging ICML 2014 Decomposing Parameter Estimation Problems NeurIPS 2014 Distributed Parameter Estimation in Probabilistic Graphical Models NeurIPS 2014 Gaussian Processes for Bayesian Estimation in Ordinary Differential Equations ICML 2014 Hardness of parameter estimation in graphical models NeurIPS 2014 Large-scale L-BFGS using MapReduce NeurIPS 2014 Learning the Parameters of Determinantal Point Process Kernels ICML 2014 Learning with Maximum A-Posteriori Perturbation Models AISTATS 2014 Multi-scale Graphical Models for Spatio-Temporal Processes NeurIPS 2014 Multivariate Regression with Calibration NeurIPS 2014 Near-Optimal-Sample Estimators for Spherical Gaussian Mixtures NeurIPS 2014 On Communication Cost of Distributed Statistical Estimation and Dimensionality NeurIPS 2014 Recursive Inversion Models for Permutations NeurIPS 2014 Spectral Learning of Mixture of Hidden Markov Models NeurIPS 2014