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

Learning a Translation Model from Word Lattices INTERSPEECH 2016
On the Consistency of the Likelihood Maximization Vertex Nomination Scheme: Bridging the Gap Between Maximum Likelihood Estimation and Graph Matching JMLR 2016
Maximum Likelihood for Variance Estimation in High-Dimensional Linear Models AISTATS 2016
Acoustic-to-Articulatory Inversion Mapping Based on Latent Trajectory Gaussian Mixture Model INTERSPEECH 2016
Scaled Least Squares Estimator for GLMs in Large-Scale Problems NIPS 2016
Probabilistic Low-Rank Matrix Completion from Quantized Measurements JMLR 2016
Global Analysis of Expectation Maximization for Mixtures of Two Gaussians NIPS 2016
A Locally Adaptive Normal Distribution NIPS 2016
Reward Augmented Maximum Likelihood for Neural Structured Prediction NIPS 2016
Conditional Probability Estimation PGM 2016
Data modeling with the elliptical gamma distribution AISTATS 2015
Human Memory Search as Initial-Visit Emitting Random Walk NIPS 2015
Fixed-point algorithms for learning determinantal point processes ICML 2015
Newton-Stein Method: A Second Order Method for GLMs via Stein's Lemma NIPS 2015
b-bit Marginal Regression NIPS 2015
Learning the Structure and Parameters of Large-Population Graphical Games from Behavioral Data JMLR 2015
Consistent estimation of dynamic and multi-layer block models ICML 2015
Closed-form Estimators for High-dimensional Generalized Linear Models NIPS 2015
A Convex Optimization Framework for Bi-Clustering ICML 2015
Maximum Likelihood Learning With Arbitrary Treewidth via Fast-Mixing Parameter Sets NIPS 2015
Fast and Accurate Inference of Plackett–Luce Models NIPS 2015
Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images ICCV 2015
Convolutional spike-triggered covariance analysis for neural subunit models NIPS 2015
High Dimensional EM Algorithm: Statistical Optimization and Asymptotic Normality NIPS 2015
Unbiased Generative Semi-Supervised Learning JMLR 2014