Orenstein, Paulo

9 publications

AISTATS 2024 BlockBoost: Scalable and Efficient Blocking Through Boosting Thiago Ramos, Rodrigo Loro Schuller, Alex Akira Okuno, Lucas Nissenbaum, Roberto I Oliveira, Paulo Orenstein

JMLR 2024 Split Conformal Prediction and Non-Exchangeable Data Roberto I. Oliveira, Paulo Orenstein, Thiago Ramos, João Vitor Romano

ICMLW 2023 Adaptive Bias Correction for Improved Subseasonal Forecasting Soukayna Mouatadid, Paulo Orenstein, Genevieve Elaine Flaspohler, Judah Cohen, Miruna Oprescu, Ernest Fraenkel, Lester Mackey

AAAI 2023 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, Paulo Orenstein

NeurIPS 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 W. Mackey

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

NeurIPSW 2022 Adaptive Bias Correction for Improved Subseasonal Forecast Soukayna Mouatadid, Paulo Orenstein, Genevieve Elaine Flaspohler, Judah Cohen, Miruna Oprescu, Ernest Fraenkel, Lester Mackey

ICML 2021 Online Learning with Optimism and Delay Genevieve E Flaspohler, Francesco Orabona, Judah Cohen, Soukayna Mouatadid, Miruna Oprescu, Paulo Orenstein, Lester Mackey

JMLR 2020 Scalable Approximate MCMC Algorithms for the Horseshoe Prior James Johndrow, Paulo Orenstein, Anirban Bhattacharya