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

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)

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

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)