Validating Conditional Density Models and Bayesian Inference Algorithms D Zhao, N Dalmasso, R Izbicki, AB Lee arXiv preprint arXiv:2102.10473 (UAI 2021 Spotlight Talk), 2021 | 23* | 2021 |
Calibrated Predictive Distributions via Diagnostics for Conditional Coverage B Dey, D Zhao, JA Newman, BH Andrews, R Izbicki, AB Lee arXiv preprint arXiv:2205.14568, 2022 | 13 | 2022 |
Likelihood-free frequentist inference: Confidence sets with correct conditional coverage N Dalmasso, L Masserano, D Zhao, R Izbicki, AB Lee arXiv e-prints, arXiv: 2107.03920, 2021 | 12 | 2021 |
Likelihood-free frequentist inference: Bridging classical statistics and machine learning in simulation and uncertainty quantification N Dalmasso, D Zhao, R Izbicki, AB Lee arXiv preprint arXiv:2107.03920, 2021 | 12 | 2021 |
Cryptocurrency Price Prediction and Trading Strategies Using Support Vector Machines D Zhao, A Rinaldo, C Brookins arXiv preprint arXiv:1911.11819, 2019 | 12 | 2019 |
MD-split+: Practical Local Conformal Inference in High Dimensions B LeRoy, D Zhao arXiv preprint arXiv:2107.03280 (ICML 2021 Workshop on Distribution-Free …, 2021 | 3 | 2021 |
Re-calibrating Photometric Redshift Probability Distributions Using Feature-space Regression B Dey, JA Newman, BH Andrews, R Izbicki, AB Lee, D Zhao, MM Rau, ... arXiv preprint arXiv:2110.15209 (NeurIPS 2021 Workshop on Machine Learning …, 2021 | 1 | 2021 |
Calibrated Conditional Density Models and Predictive Inference via Local Diagnostics D Zhao Carnegie Mellon University, 2023 | | 2023 |
Calibrated Predictive Distributions B Dey, D Zhao, J Newman, B Andrews, A Lee, R Izbicki APS April Meeting Abstracts 2023, Q12. 004, 2023 | | 2023 |
Conditionally Calibrated Predictive Distributions by Probability-Probability Map: Application to Galaxy Redshift Estimation and Probabilistic Forecasting B Dey, D Zhao, JA Newman, BH Andrews, R Izbicki, AB Lee arXiv preprint arXiv:2205.14568, 2022 | | 2022 |
Likelihood-Free Frequentist Inference: Bridging Classical Statistics and Machine Learning for Reliable Simulator-Based Inference N Dalmasso, L Masserano, D Zhao, R Izbicki, AB Lee arXiv preprint arXiv:2107.03920, 2021 | | 2021 |
Calibrated Predictive Distributions for Photometric Redshifts B Dey, D Zhao, JA Newman, BH Andrews, R Izbicki, AB Lee (ICML 2022 Workshop on Machine Learning for Astrophysics), 0 | | |