relative entropy

Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors ICLR 2025 Archetypes and Entropy: Theory-Driven Extraction of Evidence for Suicide Risk EACL 2024 DE-Lite - a New Corpus of Easy German: Compilation, Exploration, Analysis EACL 2024 Diachronic Analysis of Multi-word Expression Functional Categories in Scientific English COLING 2024 REMEDI: Corrective Transformations for Improved Neural Entropy Estimation ICML 2024 EPiDA: An Easy Plug-in Data Augmentation Framework for High Performance Text Classification NAACL 2022 Tighter Expected Generalization Error Bounds via Wasserstein Distance NeurIPS 2021 Chaining Meets Chain Rule: Multilevel Entropic Regularization and Training of Neural Networks JMLR 2020 Divergence-Based Motivation for Online EM and Combining Hidden Variable Models UAI 2020 Low-dimensional statistical manifold embedding of directed graphs ICLR 2020 Accelerated Flow for Probability Distributions ICML 2019 Grammar and Meaning: Analysing the Topology of Diachronic Word Embeddings ACL 2019 Self-Paced Contextual Reinforcement Learning CoRL 2019 Maximum a Posteriori Policy Optimisation ICLR 2018 Stylistic variation over 200 years of court proceedings according to gender and social class NAACL 2018 Using relative entropy for detection and analysis of periods of diachronic linguistic change COLING 2018 Hierarchical Relative Entropy Policy Search JMLR 2016 Online Relative Entropy Policy Search using Reproducing Kernel Hilbert Space Embeddings AISTATS 2016 Model-Based Relative Entropy Stochastic Search NeurIPS 2015 Symmetric Iterative Proportional Fitting AISTATS 2015 Hierarchical Relative Entropy Policy Search AISTATS 2012 Relative Entropy Inverse Reinforcement Learning AISTATS 2011 On the Complexity of Linear Prediction: Risk Bounds, Margin Bounds, and Regularization NeurIPS 2008 Boosting Algorithms for Maximizing the Soft Margin NeurIPS 2007 Learning Probabilistic Models: An Expected Utility Maximization Approach JMLR 2003