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2020 – today
- 2024
[j2]Aki Vehtari, Daniel Simpson, Andrew Gelman, Yuling Yao, Jonah Gabry:
Pareto Smoothed Importance Sampling. J. Mach. Learn. Res. 25: 72:1-72:58 (2024)- [c5]Yuling Yao, Bruno Régaldo-Saint Blancard, Justin Domke:
Simulation-Based Stacking. AISTATS 2024: 4267-4275 - 2023
- [c4]Chirag Modi, Robert M. Gower, Charles Margossian, Yuling Yao, David M. Blei, Lawrence K. Saul:
Variational Inference with Gaussian Score Matching. NeurIPS 2023 - [c3]Yuling Yao, Justin Domke:
Discriminative Calibration: Check Bayesian Computation from Simulations and Flexible Classifier. NeurIPS 2023 - [i6]Yuling Yao, Luiz Max Carvalho, Diego Mesquita, Yann McLatchie:
Locking and Quacking: Stacking Bayesian model predictions by log-pooling and superposition. CoRR abs/2305.07334 (2023) - [i5]Yuling Yao, Justin Domke:
Discriminative calibration. CoRR abs/2305.14593 (2023) - [i4]Chirag Modi
, Charles Margossian, Yuling Yao, Robert M. Gower, David M. Blei, Lawrence K. Saul:
Variational Inference with Gaussian Score Matching. CoRR abs/2307.07849 (2023) - [i3]Yuling Yao, Bruno Régaldo-Saint Blancard, Justin Domke:
Simulation based stacking. CoRR abs/2310.17009 (2023) - 2022
- [j1]Yuling Yao, Aki Vehtari, Andrew Gelman:
Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors. J. Mach. Learn. Res. 23: 79:1-79:45 (2022) - 2021
- [i2]Yuling Yao, Gregor Pirs, Aki Vehtari, Andrew Gelman:
Bayesian hierarchical stacking. CoRR abs/2101.08954 (2021)
2010 – 2019
- 2019
- [i1]Oscar Chang, Yuling Yao, David Williams-King, Hod Lipson:
Ensemble Model Patching: A Parameter-Efficient Variational Bayesian Neural Network. CoRR abs/1905.09453 (2019) - 2018
- [c2]Yuling Yao, Aki Vehtari, Daniel Simpson, Andrew Gelman:
Yes, but Did It Work?: Evaluating Variational Inference. ICML 2018: 5577-5586
2000 – 2009
- 2007
- [c1]Xinmin Ren, Ning Wang, Yuling Yao:
The Prediction of Reverberation Signals Based on Dynamic Models. ICIC (3) 2007: 1317-1326
Coauthor Index
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