black-box inference

Benefits of Non-Linear Scale Parameterizations in Black Box Variational Inference through Smoothness Results and Gradient Variance Bounds AISTATS 2024 FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models ICML 2024 Joint control variate for faster black-box variational inference AISTATS 2024 Sample Average Approximation for Black-Box Variational Inference UAI 2024 Marginalized Stochastic Natural Gradients for Black-Box Variational Inference ICML 2021 Advances in Black-Box VI: Normalizing Flows, Importance Weighting, and Optimization NeurIPS 2020 Provable Smoothness Guarantees for Black-Box Variational Inference ICML 2020 Generic Inference in Latent Gaussian Process Models JMLR 2019 Black-Box Variational Inference for Stochastic Differential Equations ICML 2018 Fast Black-box Variational Inference through Stochastic Trust-Region Optimization NeurIPS 2017 Variational Inference via χ Upper Bound Minimization NeurIPS 2017 Local Expectation Gradients for Black Box Variational Inference NeurIPS 2015 Automated Variational Inference for Gaussian Process Models NeurIPS 2014