Improving Subseasonal Forecasting in the Western U.S. with Machine Learning. - Jessica Hwang; Paulo Orenstein; Judah Cohen; Karl Pfeiffer; Lester Mackey (KDD, 2019)

Scalable Approximate MCMC Algorithms for the Horseshoe Prior. - James E. Johndrow; Paulo Orenstein; Anirban Bhattacharya (J. Mach. Learn. Res., 2020)

Online Learning with Optimism and Delay. - Genevieve Flaspohler; Francesco Orabona; Judah Cohen; Soukayna Mouatadid; Miruna Oprescu; Paulo Orenstein; Lester Mackey (ICML, 2021)

Learned Benchmarks for Subseasonal Forecasting. - Soukayna Mouatadid; Paulo Orenstein; Genevieve Flaspohler; Miruna Oprescu; Judah Cohen; Franklyn Wang; Sean Knight; Maria Geogdzhayeva; Sam Levang; Ernest Fraenkel; Lester Mackey (CoRR, 2021)

ExactBoost: Directly Boosting the Margin in Combinatorial and Non-decomposable Metrics. - Daniel Csillag; Carolina Piazza; Thiago Ramos; João Vitor Romano; Roberto I. Oliveira 001; Paulo Orenstein (AISTATS, 2022)

Adaptive Bias Correction for Improved Subseasonal Forecasting. - Soukayna Mouatadid; Paulo Orenstein; Genevieve Flaspohler; Judah Cohen; Miruna Oprescu; Ernest Fraenkel; Lester Mackey (CoRR, 2022)

AmnioML: Amniotic Fluid Segmentation and Volume Prediction with Uncertainty Quantification. - Daniel Csillag; Lucas Monteiro Paes; Thiago Ramos; João Vitor Romano; Rodrigo Schuller; Roberto de Beauclair Seixas; Roberto I. Oliveira 001; Paulo Orenstein (AAAI, 2023)

SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking. - Soukayna Mouatadid; Paulo Orenstein; Genevieve Flaspohler; Miruna Oprescu; Judah Cohen; Franklyn Wang; Sean Knight; Maria Geogdzhayeva; Sam Levang; Ernest Fraenkel; Lester Mackey (NeurIPS, 2023)

Deep Hashing via Householder Quantization. - Lucas R. Schwengber; Lucas Resende; Paulo Orenstein; Roberto I. Oliveira 001 (CoRR, 2023)

BlockBoost: Scalable and Efficient Blocking through Boosting. - Thiago Ramos; Rodrigo Loro Schuller; Alex Akira Okuno; Lucas Nissenbaum; Roberto I Oliveira; Paulo Orenstein (AISTATS, 2024)

Split Conformal Prediction and Non-Exchangeable Data. - Roberto I. Oliveira 001; Paulo Orenstein; Thiago Ramos; João Vitor Romano (J. Mach. Learn. Res., 2024)