Yao, Yuling

7 publications

JMLR 2024 Pareto Smoothed Importance Sampling Aki Vehtari, Daniel Simpson, Andrew Gelman, Yuling Yao, Jonah Gabry

AISTATS 2024 Simulation-Based Stacking Yuling Yao, Bruno Régaldo-Saint Blancard, Justin Domke

NeurIPS 2023 Discriminative Calibration: Check Bayesian Computation from Simulations and Flexible Classifier Yuling Yao, Justin Domke

NeurIPS 2023 Variational Inference with Gaussian Score Matching Chirag Modi, Robert Gower, Charles Margossian, Yuling Yao, David M. Blei, Lawrence K. Saul

NeurIPSW 2022 Locking and Quacking: Stacking Bayesian Models Predictions by Log-Pooling and Superposition Yuling Yao, Luiz Max Carvalho, Diego Mesquita

JMLR 2022 Stacking for Non-Mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors Yuling Yao, Aki Vehtari, Andrew Gelman

ICML 2018 Yes, but Did It Work?: Evaluating Variational Inference Yuling Yao, Aki Vehtari, Daniel Simpson, Andrew Gelman