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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

On Fenchel Mini-Max Learning NIPS 2019
Exponential Family Estimation via Adversarial Dynamics Embedding NIPS 2019
Sentence-Wise Smooth Regularization for Sequence to Sequence Learning AAAI 2019
Differentiated Distribution Recovery for Neural Text Generation AAAI 2019
Neural Machine Translation with Adequacy-Oriented Learning AAAI 2019
Model-Free IRL Using Maximum Likelihood Estimation AAAI 2019
Experimenting with Power Divergences for Language Modeling EMNLP 2019
FilterReg: Robust and Efficient Probabilistic Point-Set Registration Using Gaussian Filter and Twist Parameterization CVPR 2019
Fast Algorithm for Generalized Multinomial Models with Ranking Data ICML 2019
ARAML: A Stable Adversarial Training Framework for Text Generation EMNLP 2019
The Impact of Regularization on High-dimensional Logistic Regression NIPS 2019
Teacher Improves Learning by Selecting a Training Subset AISTATS 2018
Ranking Distributions based on Noisy Sorting ICML 2018
Generative Bridging Network for Neural Sequence Prediction NAACL 2018
Learning with Noise-Contrastive Estimation: Easing training by learning to scale COLING 2018
Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning IJCAI 2018
Generalized Rank-Breaking: Computational and Statistical Tradeoffs JMLR 2018
Leveraging the Exact Likelihood of Deep Latent Variable Models NIPS 2018
Maximum Likelihood Estimation for Mixtures of Spherical Gaussians is NP-hard JMLR 2018
Near-Optimal Sample Complexity Bounds for Maximum Likelihood Estimation of Multivariate Log-concave Densities COLT 2018
Learning Registered Point Processes from Idiosyncratic Observations ICML 2018
Bootstrapping EM via Power EM and Convergence in the Naive Bayes Model AISTATS 2018
Neural Math Word Problem Solver with Reinforcement Learning COLING 2018
Nonparametric Sharpe Ratio Function Estimation in Heteroscedastic Regression Models via Convex Optimization AISTATS 2018
Estimation with Incomplete Data: The Linear Case IJCAI 2018