Publications

(2022). Calibrated Predictive Distributions for Photometric Redshifts. 39th International Conference on Machine Learning (ICML 2022). Workshop on Machine Learning for Astrophysics.

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(2021). Diagnostics for Conditional Density Models and Bayesian Inference Algorithms. 37th Conference on Uncertainty in Artificial Intelligence (UAI 2021). Spotlight Talk.

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(2021). MD-split+: Practical Local Conformal Inference in High Dimensions. 38th International Conference on Machine Learning (ICML 2021). Workshop on Distribution-Free Uncertainty Quantification.

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(2019). Cryptocurrency Price Prediction and Trading Strategies Using Support Vector Machines. arXiv preprint.

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