conftrace_

maximum likelihood

255 papers

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Also known as

ML

Co-occurring keywords

maximum likelihood estimation (233) generative model (2892) variational inference (2069) parameter estimation (274) neural network (6616) expectation maximization (255) energy-based model (251) probabilistic modeling (852) markov chain monte carlo (725) normalizing flow (354)

Papers

Belief space planning assuming maximum likelihood observations RSS 2010
Stochastic Composite Likelihood JMLR 2010
Maximum-likelihood learning of cumulative distribution functions on graphs AISTATS 2010
On the Convexity of Latent Social Network Inference NIPS 2010
Inductive Principles for Restricted Boltzmann Machine Learning AISTATS 2010
Learning in Markov Random Fields using Tempered Transitions NIPS 2009
Maximum likelihood trajectories for continuous-time Markov chains NIPS 2009
Time-rescaling methods for the estimation and assessment of non-Poisson neural encoding models NIPS 2009
Generalization from Observed to Unobserved Features by Clustering JMLR 2008
Inferring rankings under constrained sensing NIPS 2008
Characterizing neural dependencies with copula models NIPS 2008
On the Efficient Minimization of Classification Calibrated Surrogates NIPS 2008
Model Selection in Gaussian Graphical Models: High-Dimensional Consistency of \boldmath$\ell_1$-regularized MLE NIPS 2008
Modeling Short-term Noise Dependence of Spike Counts in Macaque Prefrontal Cortex NIPS 2008
A Convex Upper Bound on the Log-Partition Function for Binary Distributions NIPS 2008
Evidence Contrary to the Statistical View of Boosting JMLR 2008
Trust Region Newton Method for Logistic Regression JMLR 2008
Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models JMLR 2008
Detection of Principle Directions in Unknown Environments for Autonomous Navigation RSS 2008
Maximal Causes for Non-linear Component Extraction JMLR 2008
Covariance Estimation for High Dimensional Data Vectors Using the Sparse Matrix Transform NIPS 2008
Exponential Family Predictive Representations of State NIPS 2007
Optimal models of sound localization by barn owls NIPS 2007
Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation NIPS 2006
Stratification Learning: Detecting Mixed Density and Dimensionality in High Dimensional Point Clouds NIPS 2006