score function

Optimal Variance Control of the Score-Function Gradient Estimator for Importance-Weighted Bounds NeurIPS 2020 Structure Learning from Related Data Sets with a Hierarchical Bayesian Score PGM 2020 VarGrad: A Low-Variance Gradient Estimator for Variational Inference NeurIPS 2020 Your GAN is Secretly an Energy-based Model and You Should Use Discriminator Driven Latent Sampling NeurIPS 2020 Learning One-hidden-layer Neural Networks under General Input Distributions AISTATS 2019 Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Gradient Estimators for Reinforcement Learning NeurIPS 2019 Variance reduction properties of the reparameterization trick AISTATS 2019 High-dimensional Non-Gaussian Single Index Models via Thresholded Score Function Estimation ICML 2017 Provable Tensor Methods for Learning Mixtures of Generalized Linear Models AISTATS 2016 Learning Bayesian Networks with Thousands of Variables NeurIPS 2015 Efficient Structure Learning of Bayesian Networks using Constraints JMLR 2011 Anomaly Detection with Score functions based on Nearest Neighbor Graphs NeurIPS 2009 Free energy score space NeurIPS 2009 Reconciling Real Scores with Binary Comparisons: A New Logistic Based Model for Ranking NeurIPS 2008 A Scoring Function for Learning Bayesian Networks based on Mutual Information and Conditional Independence Tests JMLR 2006