maximum likelihood

General Purpose MRF Learning with Neural Network Potentials IJCAI 2020 Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation AISTATS 2020 Imputing typological values via phylogenetic inference EMNLP 2020 Joint Stochastic Approximation and Its Application to Learning Discrete Latent Variable Models UAI 2020 Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns AAAI 2020 Learning from Aggregate Observations NeurIPS 2020 Learning Latent Space Energy-Based Prior Model NeurIPS 2020 Mark-Evaluate: Assessing Language Generation using Population Estimation Methods COLING 2020 Maximum Likelihood Embedding of Logistic Random Dot Product Graphs AAAI 2020 Maximum Likelihood with Bias-Corrected Calibration is Hard-To-Beat at Label Shift Adaptation ICML 2020 Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes NeurIPS 2020 Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns AAAI 2020 Naive Feature Selection: Sparsity in Naive Bayes AISTATS 2020 On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models AAAI 2020 On the Theoretical Guarantees for Parameter Estimation of Gaussian Random Field Models: A Sparse Precision Matrix Approach JMLR 2020 PCMC-Net: Feature-based Pairwise Choice Markov Chains ICLR 2020 PEP: Parameter Ensembling by Perturbation NeurIPS 2020 Perceptual Generative Autoencoders ICML 2020 Probabilistic Learning on Graphs via Contextual Architectures JMLR 2020 Quantum Expectation-Maximization for Gaussian mixture models ICML 2020 Targeted Fused Ridge Estimation of Inverse Covariance Matrices from Multiple High-Dimensional Data Classes JMLR 2020 Training Deep Energy-Based Models with f-Divergence Minimization ICML 2020 WaveFlow: A Compact Flow-based Model for Raw Audio ICML 2020 A Multi-Speaker Emotion Morphing Model Using Highway Networks and Maximum Likelihood Objective Interspeech 2019 A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families NeurIPS 2019