alpha divergence

Adaptive importance sampling for heavy-tailed distributions via $α$-divergence minimization AISTATS 2024 Rejection via Learning Density Ratios NeurIPS 2024 Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders: Methodology and Asymptotics JMLR 2023 AlphaNet: Improved Training of Supernets with Alpha-Divergence ICML 2021 On the difficulty of unbiased alpha divergence minimization ICML 2021 q-Paths: Generalizing the geometric annealing path using power means UAI 2021 Realistic evaluation of transductive few-shot learning NeurIPS 2021 Bridging Maximum Likelihood and Adversarial Learning via α-Divergence AAAI 2020 Variational Inference with Tail-adaptive f-Divergence NeurIPS 2018 Perturbative Black Box Variational Inference NeurIPS 2017 Black-Box Alpha Divergence Minimization ICML 2016 Rényi Divergence Variational Inference NeurIPS 2016 Empirical Localization of Homogeneous Divergences on Discrete Sample Spaces NeurIPS 2015 On the Estimation of α-Divergences AISTATS 2011