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Yansong Gao
Yansong Gao
TikTok | University of Pennsylvania, SJTU
Verified email at sas.upenn.edu - Homepage
Title
Cited by
Cited by
Year
An information-geometric distance on the space of tasks
Y Gao, P Chaudhari
ICML 2021, 3553-3563, 2021
222021
A free-energy principle for representation learning
Y Gao, P Chaudhari
ICML 2020, 3367-3376, 2020
132020
Smoothed and average-case approximation ratios of mechanisms: Beyond the worst-case analysis
X Deng, Y Gao, J Zhang
arXiv preprint arXiv:1705.07200, 2017
72017
Fast diffusion probabilistic model sampling through the lens of backward error analysis
Y Gao, Z Pan, X Zhou, L Kang, P Chaudhari
arXiv preprint arXiv:2304.11446, 2023
32023
Beyond the worst-case analysis of random priority: Smoothed and average-case approximation ratios in mechanism design
X Deng, Y Gao, J Zhang
Information and Computation 285, 104920, 2022
32022
Deep Reference Priors: What is the best way to pretrain a model?
Y Gao, R Ramesh, P Chaudhari
ICML 2022 arXiv:2202.00187, 2022
32022
Average-case analysis of the assignment problem with independent preferences
Y Gao, J Zhang
IJCAI 2019, 2019
32019
On Scheduling Mechanisms Beyond the Worst Case
Y Gao, J Zhang
arXiv preprint arXiv:2204.07223, 2022
2022
A free-energy principle for representation learning (extended version)
PC Yansong Gao
Machine Learning: Science and Technology, 2021
2021
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Articles 1–9