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maximum likelihood estimation

233 papers

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Also known as

MLE

Co-occurring keywords

maximum likelihood (255) parameter estimation (274) neural network (6616) generative model (2892) generalized linear model (138) graphical model (864) maximum likelihood estimator (30) text generation (2913) gaussian graphical model (106) expectation maximization (255)

Papers

Consistent estimation of dynamic and multi-layer block models ICML 2015
Newton-Stein Method: A Second Order Method for GLMs via Stein's Lemma NIPS 2015
Human Memory Search as Initial-Visit Emitting Random Walk NIPS 2015
Empirical Localization of Homogeneous Divergences on Discrete Sample Spaces NIPS 2015
Robust RGB-D Odometry Using Point and Line Features ICCV 2015
Convergence Rates of Active Learning for Maximum Likelihood Estimation NIPS 2015
Fixed-point algorithms for learning determinantal point processes ICML 2015
Open Problem: Tightness of maximum likelihood semidefinite relaxations COLT 2014
Learning Time-Varying Coverage Functions NIPS 2014
Non-Asymptotic Analysis of Relational Learning with One Network AISTATS 2014
Minimax-optimal Inference from Partial Rankings NIPS 2014
Elementary Estimators for Graphical Models NIPS 2014
Distributed Estimation, Information Loss and Exponential Families NIPS 2014
Probabilistic Label Trees for Efficient Large Scale Image Classification CVPR 2013
Spectral methods for neural characterization using generalized quadratic models NIPS 2013
BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables NIPS 2013
Extrinsic Calibration from Per-Sensor Egomotion RSS 2012
Mixing Properties of Conditional Markov Chains with Unbounded Feature Functions NIPS 2012
Generative Modeling for Maximizing Precision and Recall in Information Visualization AISTATS 2011
Comparative Analysis of Viterbi Training and Maximum Likelihood Estimation for HMMs NIPS 2011
Asymptotic Theory for Linear-Chain Conditional Random Fields AISTATS 2011
Relational Learning with One Network: An Asymptotic Analysis AISTATS 2011
Bayesian Spike-Triggered Covariance Analysis NIPS 2011
On the Convexity of Latent Social Network Inference NIPS 2010
-Nested Symmetric Distributions JMLR 2010