Paulo Orenstein
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S2S reboot: An argument for greater inclusion of machine learning in subseasonal to seasonal forecasts
J Cohen, D Coumou, J Hwang, L Mackey, P Orenstein, S Totz, ...
Wiley Interdisciplinary Reviews: Climate Change 10 (2), e00567, 2019
Scalable approximate MCMC algorithms for the horseshoe prior
J Johndrow, P Orenstein, A Bhattacharya
Journal of Machine Learning Research 21 (73), 1-61, 2020
Improving subseasonal forecasting in the western US with machine learning
J Hwang, P Orenstein, J Cohen, K Pfeiffer, L Mackey
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
Online learning with optimism and delay
GE Flaspohler, F Orabona, J Cohen, S Mouatadid, M Oprescu, ...
International Conference on Machine Learning, 3363-3373, 2021
Scalable MCMC for Bayes shrinkage priors
JE Johndrow, P Orenstein, A Bhattacharya
arXiv preprint arXiv:1705.00841, 0162-8828, 2017
The sub-gaussian property of trimmed means estimators
RI Oliveira, P Orenstein
Unpubl. IMPA 0, 2019
Adaptive bias correction for improved subseasonal forecasting
S Mouatadid, P Orenstein, G Flaspohler, J Cohen, M Oprescu, E Fraenkel, ...
Nature Communications 14 (1), 3482, 2023
Split conformal prediction for dependent data
RI Oliveira, P Orenstein, T Ramos, JV Romano
arXiv preprint arXiv:2203.15885, 2022
Learned benchmarks for subseasonal forecasting
S Mouatadid, P Orenstein, G Flaspohler, M Oprescu, J Cohen, F Wang, ...
arXiv preprint arXiv:2109.10399, 2021
Robust mean estimation with the bayesian median of means
P Orenstein
arXiv preprint arXiv:1906.01204, 2019
AmnioML: amniotic fluid segmentation and volume prediction with uncertainty quantification
D Csillag, LM Paes, T Ramos, JV Romano, R Schuller, RB Seixas, ...
Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 15494 …, 2023
SubseasonalClimateUSA: a dataset for subseasonal forecasting and benchmarking
S Mouatadid, P Orenstein, G Flaspohler, M Oprescu, J Cohen, F Wang, ...
Advances in Neural Information Processing Systems 36, 2024
A métrica de Hilbert e aplicaçoes
P Orenstein
Trabalho de iniciaçao cientıfica. orientador: Jairo Bochi, Departamento de …, 2009
Deep Hashing via Householder Quantization
LR Schwengber, L Resende, P Orenstein, RI Oliveira
arXiv preprint arXiv:2311.04207, 2023
Robust importance sampling with adaptive winsorization
P Orenstein
Bernoulli 28 (4), 2862-2873, 2022
Supplement to “Robust importance sampling with adaptive winsorization.”
P Orenstein
Finite-sample Guarantees for Winsorized Importance Sampling
P Orenstein
arXiv preprint arXiv:1810.11130, 2018
BlockBoost: Scalable and Efficient Blocking through Boosting
T Ramos, RL Schuller, AA Okuno, L Nissenbaum, RI Oliveira, P Orenstein
International Conference on Artificial Intelligence and Statistics, 2575-2583, 2024
OP06. 03: Machine learning for amniotic fluid volume prediction
H Werner, G Ribeiro, P Orenstein, R Oliveira, R Seixas, J Lopes
Ultrasound in Obstetrics & Gynecology 62, 61-61, 2023
Advancing Ensemble Subseasonal Forecasting with Machine Learning
S Totz, J Cohen, G Flaspohler, S Mouatadid, P Orenstein, L Mackey, ...
103rd AMS Annual Meeting, 2023
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