Yuling Yao

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 11

Top Topics

Variational Inference

Top Venues

J. Mach. Learn. Res.

Publications

Yuling Yao, Bruno Régaldo-Saint Blancard, Justin Domke
Simulation-Based Stacking. AISTATS (2024)
Yuling Yao, Luiz Max Carvalho, Diego Mesquita, Yann McLatchie
Locking and Quacking: Stacking Bayesian model predictions by log-pooling and superposition. CoRR (2023)
Yuling Yao, Bruno Régaldo-Saint Blancard, Justin Domke
Simulation based stacking. CoRR (2023)
Chirag Modi, Robert Gower, Charles Margossian, Yuling Yao, David M. Blei, Lawrence K. Saul
Variational Inference with Gaussian Score Matching. NeurIPS (2023)
Yuling Yao, Justin Domke
Discriminative calibration. CoRR (2023)
Chirag Modi, Charles Margossian, Yuling Yao, Robert Gower, David M. Blei, Lawrence K. Saul
Variational Inference with Gaussian Score Matching. CoRR (2023)
Yuling Yao, Justin Domke
Discriminative Calibration: Check Bayesian Computation from Simulations and Flexible Classifier. NeurIPS (2023)
Yuling Yao, Aki Vehtari, Andrew Gelman
Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors. J. Mach. Learn. Res. 23 (2022)
Yuling Yao, Gregor Pirs, Aki Vehtari, Andrew Gelman
Bayesian hierarchical stacking. CoRR (2021)
Oscar Chang, Yuling Yao, David Williams-King, Hod Lipson
Ensemble Model Patching: A Parameter-Efficient Variational Bayesian Neural Network. CoRR (2019)
Yuling Yao, Aki Vehtari, Daniel Simpson, Andrew Gelman
Yes, but Did It Work?: Evaluating Variational Inference. ICML (2018)
Xinmin Ren, Ning Wang, Yuling Yao
The Prediction of Reverberation Signals Based on Dynamic Models. ICIC (3) (2007)