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Judah Cohen
Publication Activity (10 Years)
Years Active: 2018-2023
Publications (10 Years): 7
Top Topics
Unsupervised Manner
E Learning
Intensity Inhomogeneity
Bias Correction
Top Venues
CoRR
KDD
ICML
NeurIPS
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Publications
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Soukayna Mouatadid
,
Paulo Orenstein
,
Genevieve Flaspohler
,
Miruna Oprescu
,
Judah Cohen
,
Franklyn Wang
,
Sean Knight
,
Maria Geogdzhayeva
,
Sam Levang
,
Ernest Fraenkel
,
Lester Mackey
SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking.
NeurIPS
(2023)
Soukayna Mouatadid
,
Paulo Orenstein
,
Genevieve Flaspohler
,
Judah Cohen
,
Miruna Oprescu
,
Ernest Fraenkel
,
Lester Mackey
Adaptive Bias Correction for Improved Subseasonal Forecasting.
CoRR
(2022)
Soukayna Mouatadid
,
Paulo Orenstein
,
Genevieve Flaspohler
,
Miruna Oprescu
,
Judah Cohen
,
Franklyn Wang
,
Sean Knight
,
Maria Geogdzhayeva
,
Sam Levang
,
Ernest Fraenkel
,
Lester Mackey
Learned Benchmarks for Subseasonal Forecasting.
CoRR
(2021)
Genevieve Flaspohler
,
Francesco Orabona
,
Judah Cohen
,
Soukayna Mouatadid
,
Miruna Oprescu
,
Paulo Orenstein
,
Lester Mackey
Online Learning with Optimism and Delay.
CoRR
(2021)
Genevieve Flaspohler
,
Francesco Orabona
,
Judah Cohen
,
Soukayna Mouatadid
,
Miruna Oprescu
,
Paulo Orenstein
,
Lester Mackey
Online Learning with Optimism and Delay.
ICML
(2021)
Jessica Hwang
,
Paulo Orenstein
,
Judah Cohen
,
Karl Pfeiffer
,
Lester Mackey
Improving Subseasonal Forecasting in the Western U.S. with Machine Learning.
KDD
(2019)
Jessica Hwang
,
Paulo Orenstein
,
Karl Pfeiffer
,
Judah Cohen
,
Lester Mackey
Improving Subseasonal Forecasting in the Western U.S. with Machine Learning.
CoRR
(2018)