Paulo Orenstein

14 papers A* 4A 2Journal 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Precipitation nowcasting of satellite data using physically-aligned neural networks. CoRR Antônio Catão, Melvin Poveda, Leonardo Voltarelli, Paulo Orenstein
2024	A	`conf`	BlockBoost: Scalable and Efficient Blocking through Boosting. AISTATS Thiago Ramos, Rodrigo Loro Schuller, Alex Akira Okuno, Lucas Nissenbaum, Roberto I. Oliveira, Paulo Orenstein
2024	J	`jnl`	Split Conformal Prediction and Non-Exchangeable Data. J. Mach. Learn. Res. Roberto I. Oliveira, Paulo Orenstein, Thiago Ramos, João Vitor Romano
2023	A*	`conf`	AmnioML: Amniotic Fluid Segmentation and Volume Prediction with Uncertainty Quantification. AAAI Daniel Csillag, Lucas Monteiro Paes, Thiago Ramos, João Vitor Romano, Rodrigo Schuller, Roberto de Beauclair Seixas, Roberto I. Oliveira, Paulo Orenstein
2023	J	`jnl`	Deep Hashing via Householder Quantization. CoRR Lucas R. Schwengber, Lucas Resende, Paulo Orenstein, Roberto I. Oliveira
2023	A*	`conf`	SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking. NeurIPS Soukayna Mouatadid, Paulo Orenstein, Genevieve Flaspohler, Miruna Oprescu, Judah Cohen, Franklyn Wang, Sean Knight, Maria Geogdzhayeva, Sam Levang, Ernest Fraenkel, Lester Mackey
2022	J	`jnl`	Adaptive Bias Correction for Improved Subseasonal Forecasting. CoRR Soukayna Mouatadid, Paulo Orenstein, Genevieve Flaspohler, Judah Cohen, Miruna Oprescu, Ernest Fraenkel, Lester Mackey
2022	A	`conf`	ExactBoost: Directly Boosting the Margin in Combinatorial and Non-decomposable Metrics. AISTATS Daniel Csillag, Carolina Piazza, Thiago Ramos, João Vitor Romano, Roberto I. Oliveira, Paulo Orenstein
2021	J	`jnl`	Learned Benchmarks for Subseasonal Forecasting. CoRR Soukayna Mouatadid, Paulo Orenstein, Genevieve Flaspohler, Miruna Oprescu, Judah Cohen, Franklyn Wang, Sean Knight, Maria Geogdzhayeva, Sam Levang, Ernest Fraenkel, Lester Mackey
2021	A*	`conf`	Online Learning with Optimism and Delay. ICML Genevieve Flaspohler, Francesco Orabona, Judah Cohen, Soukayna Mouatadid, Miruna Oprescu, Paulo Orenstein, Lester Mackey
2021	J	`jnl`	Online Learning with Optimism and Delay. CoRR Genevieve Flaspohler, Francesco Orabona, Judah Cohen, Soukayna Mouatadid, Miruna Oprescu, Paulo Orenstein, Lester Mackey
2020	J	`jnl`	Scalable Approximate MCMC Algorithms for the Horseshoe Prior. J. Mach. Learn. Res. James E. Johndrow, Paulo Orenstein, Anirban Bhattacharya
2019	A*	`conf`	Improving Subseasonal Forecasting in the Western U.S. with Machine Learning. KDD Jessica Hwang, Paulo Orenstein, Judah Cohen, Karl Pfeiffer, Lester Mackey
2018	J	`jnl`	Improving Subseasonal Forecasting in the Western U.S. with Machine Learning. CoRR Jessica Hwang, Paulo Orenstein, Karl Pfeiffer, Judah Cohen, Lester Mackey