| On posterior contraction of parameters and interpretability in Bayesian mixture modeling A Guha, N Ho, XL Nguyen Bernoulli, 2020, 2019 | 51 | 2019 |
| Outlier-Robust Optimal Transport D Mukherjee, A Guha, J Solomon, Y Sun, M Yurochkin International Conference on Machine Learning (ICML), 2020 | 46 | 2020 |
| Conic Scan-and-Cover algorithms for nonparametric topic modeling M Yurochkin, A Guha, XL Nguyen Advances in Neural Information Processing Systems, 3878-3887, 2017 | 20 | 2017 |
| Scalable inference of topic evolution via models for latent geometric structures M Yurochkin, Z Fan, A Guha, P Koutris, XL Nguyen Advances in Neural Information Processing Systems 32, pp. 5949-5959, 2019 | 13 | 2019 |
| Dirichlet Simplex Nest and Geometric Inference M Yurochkin*, A Guha*, Y Sun, XL Nguyen International Conference on Machine Learning, 7262-7271, 2019 | 5 | 2019 |
| Robust unsupervised learning of temporal dynamic vehicle-to-vehicle interactions A Guha, R Lei, J Zhu, XL Nguyen, D Zhao Transportation research part C: emerging technologies 142, 103768, 2022 | 4 | 2022 |
| Functional Optimal Transport: Mapping Estimation and Domain Adaptation for Functional data J Zhu*, A Guha*, D Do*, M Xu, XL Nguyen, D Zhao https://arxiv.org/pdf/2102.03895v2.pdf, 2021 | 4 | 2021 |
| Interpolation for Robust Learning: Data Augmentation on Geodesics J Zhu, J Qiu, A Guha, Z Yang, X Nguyen, B Li, D Zhao International Conference on Machine Learning (ICML), 2023 | 3 | 2023 |
| On Excess Mass Behavior in Gaussian Mixture Models with Orlicz-Wasserstein Distances A Guha, N Ho, XL Nguyen International Conference on Machine Learning (ICML), 2023 | 2 | 2023 |
| Scalable nonparametric Bayesian learning for dynamic velocity fields S Chakraborty, A Guha, R Lei, XL Nguyen Uncertainty in Artificial Intelligence, 282-292, 2023 | 1* | 2023 |
| Simulating training data to mitigate biases in machine learning models A Guha, Z Zhengyi, B Krishnamurthy US Patent App. 17/661,026, 2023 | | 2023 |
| Towards Algorithmic Fairness in Space-Time: Filling in Black Holes C Brooks, A Guha, S Majumdar, D Srivastava, Z Zhou Workshop on Trustworthy and Socially Responsible Machine Learning, NeurIPS, 2022 | | 2022 |
| Inference and Interpretability in Latent Variable Modeling A Guha | | 2020 |
| Supplementary material for Scalable inference of topic evolution via models for latent geometric structures M Yurochkin, Z Fan, A Guha, P Koutris, XL Nguyen | | |
| Supplementary material for Conic Scan-and-Cover algorithms for nonparametric topic modeling M Yurochkin, A Guha, XL Nguyen | | |
XuanLong NguyenUniversity of MichiganGeverifieerd e-mailadres voor umich.edu
