| Connecting GANs, MFGs, and OT H Cao, X Guo, M Laurière arXiv e-prints, arXiv: 2002.04112, 2020 | 32* | 2020 |
| Identifiability in inverse reinforcement learning H Cao, S Cohen, L Szpruch Advances in Neural Information Processing Systems 34, 2021 | 27 | 2021 |
| Nonzero-sum stochastic games and mean-field games with impulse controls M Basei, H Cao, X Guo Mathematics of Operations Research, 2021 | 25* | 2021 |
| MFGs for partially reversible investment H Cao, X Guo Stochastic Processes and their Applications, 2020 | 15 | 2020 |
| Stationary discounted and ergodic mean field games of singular control H Cao, J Dianetti, G Ferrari arXive preprint arXiv:2105.07213, 2021 | 12 | 2021 |
| SDE approximations of GANs training and its long-run behavior H Cao, X Guo arXiv preprint arXiv:2006.02047, 2020 | 9* | 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 | 7 | 2017 |
| 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 | 6 | 2022 |
| 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 | 2 | 2022 |
| Generative Adversarial Network: Some Analytical Perspectives H Cao, X Guo Machine Learning for Financial Markets: A Guide to Contemporary Practices …, 2021 | 2 | 2021 |
| Feasibility of Transfer Learning: A Mathematical Framework H Cao, H Gu, X Guo arXiv preprint arXiv:2305.12985, 2023 | 1 | 2023 |
| Feasibility and Transferability of Transfer Learning: A Mathematical Framework H Cao, H Gu, X Guo, M Rosenbaum arXiv preprint arXiv:2301.11542, 2023 | 1 | 2023 |
| 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 |
| 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 | | 2023 |
Xin GuoUC Berkeley, Cornell Univeristy, IBMVerified email at berkeley.edu
