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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

Comparison of Glottal Source Parameter Values in Emotional Vowels INTERSPEECH 2020
Estimation and Imputation in Probabilistic Principal Component Analysis with Missing Not At Random Data NIPS 2020
Cloth in the Wind: A Case Study of Physical Measurement Through Simulation CVPR 2020
Efficient Parameter Estimation of Truncated Boolean Product Distributions COLT 2020
Matrix Inference and Estimation in Multi-Layer Models NIPS 2020
Discriminative Method to Extract Coarse Prosodic Structure and its Application for Statistical Phrase/Accent Command Estimation INTERSPEECH 2020
Quantum Expectation-Maximization for Gaussian mixture models ICML 2020
Learning Entangled Single-Sample Gaussians in the Subset-of-Signals Model COLT 2020
On the Theoretical Guarantees for Parameter Estimation of Gaussian Random Field Models: A Sparse Precision Matrix Approach JMLR 2020
Polishing the Classical Likelihood Ratio Test by Supervised Learning for Voice Activity Detection INTERSPEECH 2020
Stable Prediction with Model Misspecification and Agnostic Distribution Shift AAAI 2020
Optimal Estimation of Sparse Topic Models JMLR 2020
High-dimensional quantile tensor regression JMLR 2020
Minimax Rate for Learning From Pairwise Comparisons in the BTL Model ICML 2020
Uncertainty Based Camera Model Selection CVPR 2020
Transfer Learning via $\ell_1$ Regularization NIPS 2020
Co-Occurrence Estimation from Aggregated Data with Auxiliary Information AAAI 2020
Learning Mixed Latent Tree Models JMLR 2020
Learning Restricted Boltzmann Machines with Sparse Latent Variables NIPS 2020
EM Converges for a Mixture of Many Linear Regressions AISTATS 2020
Optimal Learning of Mallows Block Model COLT 2019
Differentially Private Algorithms for Learning Mixtures of Separated Gaussians NIPS 2019
Exemplar Based Mixture Models with Censored Data ACML 2019
AReS and MaRS Adversarial and MMD-Minimizing Regression for SDEs ICML 2019
A Block Coordinate Descent Proximal Method for Simultaneous Filtering and Parameter Estimation ICML 2019