hellinger distance

Density estimation for Hellinger via minimum-distance estimators: mixtures of Gaussians, log-concave, and more COLT 2026 On the Minimax Regret of Sequential Probability Assignment via Square-Root Entropy COLT 2025 Eluder-based Regret for Stochastic Contextual MDPs ICML 2024 HELA-VFA: A Hellinger Distance-Attention-Based Feature Aggregation Network for Few-Shot Classification WACV 2024 Optimal score estimation via empirical Bayes smoothing COLT 2024 Computing Divergences between Discrete Decomposable Models AAAI 2023 Entropic characterization of optimal rates for learning Gaussian mixtures COLT 2023 Maximum likelihood estimation in Gaussian process regression is ill-posed JMLR 2023 Certifying Out-of-Domain Generalization for Blackbox Functions ICML 2022 Changing the Basis of Contextual Representations with Explicit Semantics ACL 2021 Non-asymptotic Performance Guarantees for Neural Estimation of f-Divergences AISTATS 2021 Robust hypothesis testing and distribution estimation in Hellinger distance AISTATS 2021 Inter-node Hellinger Distance based Decision Tree IJCAI 2019 Universal Boosting Variational Inference NeurIPS 2019 Learning and Testing Causal Models with Interventions NeurIPS 2018 Sensing and Recognizing Surface Textures Using a GelSight Sensor CVPR 2013 Lower Bounds and Aggregation in Density Estimation JMLR 2006