| Lipschitz continuous autoencoders in application to anomaly detection Y Kim, Y Kwon, H Chang, MC Paik International Conference on Artificial Intelligence and Statistics, 2507-2517, 2020 | 15 | 2020 |
| Complexity analysis of Bayesian learning of high-dimensional DAG models and their equivalence classes Q Zhou, H Chang The Annals of Statistics 51 (3), 1058-1085, 2023 | 13 | 2023 |
| Rapidly mixing multiple-try Metropolis algorithms for model selection problems H Chang, C Lee, ZT Luo, H Sang, Q Zhou Advances in Neural Information Processing Systems 35, 25842-25855, 2022 | 7 | 2022 |
| A non-convex regularization approach for stable estimation of loss development factors H Jeong, H Chang, EA Valdez Scandinavian Actuarial Journal 2021 (9), 779-803, 2021 | 5 | 2021 |
| Dimension-free Relaxation Times of Informed MCMC Samplers on Discrete Spaces H Chang, Q Zhou arXiv preprint arXiv:2404.03867, 2024 | 3 | 2024 |
| Order-based structure learning without score equivalence H Chang, JJ Cai, Q Zhou Biometrika, asad052, 2023 | 3 | 2023 |
| BPNAS: Bayesian Progressive Neural Architecture Search H Chang, A Samaddar, S Madireddy ICML 2024 Workshop on Differentiable Almost Everything: Differentiable …, 0 | | |