parameter estimation

Spectral Methods for Supervised Topic Models NeurIPS 2014 Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing NeurIPS 2014 The More, the Merrier: the Blessing of Dimensionality for Learning Large Gaussian Mixtures COLT 2014 Uniqueness of Tensor Decompositions with Applications to Polynomial Identifiability COLT 2014 Bayesian Estimation of Latently-grouped Parameters in Undirected Graphical Models NeurIPS 2013 Can a Fully Unconstrained Imaging Model Be Applied Effectively to Central Cameras? CVPR 2013 EDML for Learning Parameters in Directed and Undirected Graphical Models NeurIPS 2013 Enhanced Continuous Tabu Search for Parameter Estimation in Multiview Geometry ICCV 2013 Generalized Method-of-Moments for Rank Aggregation NeurIPS 2013 Group Norm for Learning Structured SVMs with Unstructured Latent Variables ICCV 2013 Hierarchical Tensor Decomposition of Latent Tree Graphical Models ICML 2013 Online Learning of Dynamic Parameters in Social Networks NeurIPS 2013 The Extended Parameter Filter ICML 2013 Using multiple samples to learn mixture models NeurIPS 2013 Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks AISTATS 2012 AIC and BIC based approaches for SVM parameter value estimation with RBF kernels ACML 2012 A Method of Moments for Mixture Models and Hidden Markov Models COLT 2012 Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning NeurIPS 2012 A Spectral Algorithm for Latent Dirichlet Allocation NeurIPS 2012 Forward-Backward Activation Algorithm for Hierarchical Hidden Markov Models NeurIPS 2012 Identifiability and Unmixing of Latent Parse Trees NeurIPS 2012 Multi-Stage Multi-Task Feature Learning NeurIPS 2012 Multi-Task Averaging NeurIPS 2012 Simultaneously Leveraging Output and Task Structures for Multiple-Output Regression NeurIPS 2012 The Coloured Noise Expansion and Parameter Estimation of Diffusion Processes NeurIPS 2012