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David Zhao
David Zhao
Two Sigma Investments LP
Verified email at twosigma.com - Homepage
Title
Cited by
Cited by
Year
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
132022
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
122021
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
122021
Cryptocurrency Price Prediction and Trading Strategies Using Support Vector Machines
D Zhao, A Rinaldo, C Brookins
arXiv preprint arXiv:1911.11819, 2019
122019
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
32021
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
12021
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
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Articles 1–12