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Haoyang Cao
Haoyang Cao
Department of Applied Mathematics and Statistics, Johns Hopkins University
Verified email at jhu.edu - Homepage
Title
Cited by
Cited by
Year
Identifiability in inverse reinforcement learning
H Cao, S Cohen, L Szpruch
Advances in Neural Information Processing Systems 34, 12362-12373, 2021
362021
Connecting gans, mfgs, and ot
H Cao, X Guo, M Laurière
arXiv preprint arXiv:2002.04112, 2020
352020
Nonzero-sum stochastic games and mean-field games with impulse controls
M Basei, H Cao, X Guo
Mathematics of Operations Research, 2021
26*2021
MFGs for partially reversible investment
H Cao, X Guo
Stochastic Processes and their Applications 150, 995-1014, 2022
172022
Stationary discounted and ergodic mean field games of singular control
H Cao, J Dianetti, G Ferrari
arXive preprint arXiv:2105.07213, 2021
152021
SDE approximations of GANs training and its long-run behavior
H Cao, X Guo
arXiv preprint arXiv:2006.02047, 2020
12*2020
Approximation of Mean Field Games to N-Player Stochastic Games, with Singular Controls
H Cao, X Guo, JS Lee
arXiv, arXiv: 1703.04437, 2017
72017
Meta-learning with GANs for anomaly detection, with deployment in high-speed rail inspection system
H Cao, X Guo, G Wang
https://arxiv.org/abs/2202.05795, 2022
52022
Approximation of N-player stochastic games with singular controls by mean field games
H Cao, X Guo, JS Lee
arXiv preprint arXiv:2202.06835, 2022
42022
Generative Adversarial Network: Some Analytical Perspectives
H Cao, X Guo
Machine Learning for Financial Markets: A Guide to Contemporary Practices …, 2021
32021
Feasibility of Transfer Learning: A Mathematical Framework
H Cao, H Gu, X Guo
arXiv preprint arXiv:2305.12985, 2023
12023
Feasibility and Transferability of Transfer Learning: A Mathematical Framework
H Cao, H Gu, X Guo, M Rosenbaum
arXiv preprint arXiv:2301.11542, 2023
12023
Stochastic differential equation approximations of generative adversarial network training and its long-run behavior
H Cao, X Guo
Journal of Applied Probability, 1-25, 2023
12023
Risk of transfer learning and its applications in finance
H Cao, H Gu, X Guo, M Rosenbaum
arXiv preprint arXiv:2311.03283, 2023
2023
Transfer Learning for Portfolio Optimization
H Cao, H Gu, X Guo, M Rosenbaum
arXiv preprint arXiv:2307.13546, 2023
2023
Towards Mapping the Contemporary Art World with Artlm: An Art-Specific Nlp Model
M EL MENNAOUI, M Rosenbaum, A Rebei, A Fosset, Q Chen, H Cao, ...
Christy and Shevchenko, Sasha, Towards Mapping the Contemporary Art World …, 0
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Articles 1–16