Yuling Yao

14 papers A* 3A 1Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
Pareto Smoothed Importance Sampling.
J. Mach. Learn. Res.
Aki Vehtari, Daniel Simpson, Andrew Gelman, Yuling Yao, Jonah Gabry
2024 J jnl
Predictive variational inference: Learn the predictively optimal posterior distribution.
CoRR
Jinlin Lai, Yuling Yao
2024 A conf
Simulation-Based Stacking.
AISTATS
Yuling Yao, Bruno Régaldo-Saint Blancard, Justin Domke
2023 A* conf
Discriminative Calibration: Check Bayesian Computation from Simulations and Flexible Classifier.
NeurIPS
Yuling Yao, Justin Domke
2023 J jnl
Discriminative calibration.
CoRR
Yuling Yao, Justin Domke
2023 J jnl
Locking and Quacking: Stacking Bayesian model predictions by log-pooling and superposition.
CoRR
Yuling Yao, Luiz Max Carvalho, Diego Mesquita, Yann McLatchie
2023 J jnl
Simulation based stacking.
CoRR
Yuling Yao, Bruno Régaldo-Saint Blancard, Justin Domke
2023 A* conf
Variational Inference with Gaussian Score Matching.
NeurIPS
Chirag Modi, Robert M. Gower, Charles Margossian, Yuling Yao, David M. Blei, Lawrence K. Saul
2023 J jnl
Variational Inference with Gaussian Score Matching.
CoRR
Chirag Modi, Charles Margossian, Yuling Yao, Robert M. Gower, David M. Blei, Lawrence K. Saul
2022 J jnl
Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors.
J. Mach. Learn. Res.
Yuling Yao, Aki Vehtari, Andrew Gelman
2021 J jnl
Bayesian hierarchical stacking.
CoRR
Yuling Yao, Gregor Pirs, Aki Vehtari, Andrew Gelman
2019 J jnl
Ensemble Model Patching: A Parameter-Efficient Variational Bayesian Neural Network.
CoRR
Oscar Chang, Yuling Yao, David Williams-King, Hod Lipson
2018 A* conf
Yes, but Did It Work?: Evaluating Variational Inference.
ICML
Yuling Yao, Aki Vehtari, Daniel Simpson, Andrew Gelman
2007 — conf
The Prediction of Reverberation Signals Based on Dynamic Models.
ICIC (3)
Xinmin Ren, Ning Wang, Yuling Yao