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parameter estimation

274 papers

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Co-occurring keywords

bayesian inference (1904) expectation maximization (254) graphical model (863) mixture model (262) maximum likelihood (255) maximum likelihood estimation (233) sample complexity (1158) latent variable model (564) tensor decomposition (374) exponential family (124)

Papers

Sparse Recovery with Brownian Sensing NIPS 2011
A General Linear Non-Gaussian State-Space Model: Identifiability, Identification, and Applications ACML 2011
Automated Refinement of Bayes Networks' Parameters based on Test Ordering Constraints NIPS 2011
Learning Attribute-weighted Voter Model over Social Networks ACML 2011
Mixed Cumulative Distribution Networks AISTATS 2011
A Dirty Model for Multi-task Learning NIPS 2010
Identifying Dendritic Processing NIPS 2010
Inference and Learning in Networks of Queues AISTATS 2010
On the Convergence Properties of Contrastive Divergence AISTATS 2010
Learning with Blocks: Composite Likelihood and Contrastive Divergence AISTATS 2010
Noise-contrastive estimation: A new estimation principle for unnormalized statistical models AISTATS 2010
Deterministic Bayesian inference for the $p*$ model AISTATS 2010
Shadow Dirichlet for Restricted Probability Modeling NIPS 2010
Sensitivity analysis in HMMs with application to likelihood maximization NIPS 2009
Using the distribution theory to simultaneously calibrate the sensors of a mobile robot RSS 2009
Identification of Recurrent Neural Networks by Bayesian Interrogation Techniques JMLR 2009
Robustness of the Unscented Kalman filter for state and parameter estimation in an elastic transmission RSS 2009
A Probabilistic Analysis of EM for Mixtures of Separated, Spherical Gaussians JMLR 2007
Continuous Time Particle Filtering for fMRI NIPS 2007
Variational inference for Markov jump processes NIPS 2007
Estimating the “Wrong” Graphical Model: Benefits in the Computation-Limited Setting JMLR 2006
Real-time adaptive information-theoretic optimization of neurophysiology experiments NIPS 2006
Learning to be Bayesian without Supervision NIPS 2006
Learning Factor Graphs in Polynomial Time and Sample Complexity JMLR 2006