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

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

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

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

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

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

Improving Subseasonal Forecasting in the Western U.S. with Machine Learning. - Hwang, Jessica; Orenstein, Paulo; Pfeiffer, Karl; Cohen, Judah; Mackey, Lester (CoRR, 2018)