| Forward thinking: Building deep random forests K Miller, C Hettinger, J Humpherys, T Jarvis, D Kartchner arXiv preprint arXiv:1705.07366, 2017 | 49 | 2017 |
| Graph-based active learning for semi-supervised classification of SAR data K Miller, J Mauro, J Setiadi, X Baca, Z Shi, J Calder, AL Bertozzi Algorithms for Synthetic Aperture Radar Imagery XXIX 12095, 126-139, 2022 | 17 | 2022 |
| Efficient and reliable overlay networks for decentralized federated learning Y Hua, K Miller, AL Bertozzi, C Qian, B Wang SIAM Journal on Applied Mathematics 82 (4), 1558-1586, 2022 | 16 | 2022 |
| Efficient graph-based active learning with probit likelihood via Gaussian approximations K Miller, H Li, AL Bertozzi arXiv preprint arXiv:2007.11126, 2020 | 13 | 2020 |
| Posterior consistency of semi-supervised regression on graphs AL Bertozzi, B Hosseini, H Li, K Miller, AM Stuart Inverse Problems 37 (10), 105011, 2021 | 12 | 2021 |
| Model Change Active Learning in Graph-Based Semi-supervised Learning KS Miller, AL Bertozzi Communications on Applied Mathematics and Computation, 1-29, 2024 | 11 | 2024 |
| Novel batch active learning approach and its application on the synthetic aperture radar datasets J Chapman, B Chen, Z Tan, J Calder, K Miller, AL Bertozzi Algorithms for Synthetic Aperture Radar Imagery XXX 12520, 96-111, 2023 | 4 | 2023 |
| Batch active learning for multispectral and hyperspectral image segmentation using similarity graphs B Chen, K Miller, AL Bertozzi, J Schwenk Communications on Applied Mathematics and Computation, 1-21, 2023 | 3 | 2023 |
| Poisson Reweighted Laplacian Uncertainty Sampling for Graph-Based Active Learning K Miller, J Calder SIAM Journal on Mathematics of Data Science 5 (4), 1160-1190, 2023 | 2 | 2023 |
| Pre-processing and classification of hyperspectral imagery via selective inpainting V Chayes, K Miller, R Bhalerao, J Luo, W Zhu, AL Bertozzi, W Liao, ... 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 2 | 2017 |
| Graph-based active learning for surface water and sediment detection in multispectral images B Chen, K Miller, AL Bertozzi, J Schwenk IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | 1 | 2023 |
| Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering Y Dong, K Miller, Q Lei, R Ward Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| Dirichlet Active Learning K Miller, R Murray arXiv preprint arXiv:2311.05501, 2023 | | 2023 |
| Active Learning and Uncertainty in Graph-Based Semi-Supervised Learning KS Miller University of California, Los Angeles, 2022 | | 2022 |
| Novel Batch Active Learning Approach and Its Application to Synthetic Aperture Radar Datasets J Calder, K Miller, AL Bertozzi | | |
| Ensuring Exploration and Exploitation in Graph-Based Active Learning K Miller 2023 Joint Mathematics Meetings (JMM 2023), 0 | | |
Andrea BertozziProf. of Math. and Mech. & Aero. Eng., Betsy Wood Knapp Chair for Innovation and Creativity, UCLAVerified email at math.ucla.edu
