140 citations · 228 across the 18 of their papers we have counts for
11 papers · 1 filter
AlphaD3M: Machine Learning Pipeline Synthesis
Iddo Drori, Yamuna Krishnamurthy, Remi Rampin +5
We introduce AlphaD3M, an automatic machine learning (AutoML) system based on meta reinforcement learning using sequence models with self play. AlphaD3M is based on edit operations…
Predicting Critical Biogeochemistry of the Southern Ocean for Climate Monitoring
Ellen Park, Jae Deok Kim, Nadege Aoki +5
The Biogeochemical-Argo (BGC-Argo) program is building a network of globally distributed, sensor-equipped robotic profiling floats, improving our understanding of the climate syste…
Predicting Atlantic Multidecadal Variability
Glenn Liu, Peidong Wang, Matthew Beveridge +2
Atlantic Multidecadal Variability (AMV) describes variations of North Atlantic sea surface temperature with a typical cycle of between 60 and 70 years. AMV strongly impacts local c…
Pedestrian Wind Factor Estimation in Complex Urban Environments
Sarah Mokhtar, Matthew Beveridge, Yumeng Cao +1
Urban planners and policy makers face the challenge of creating livable and enjoyable cities for larger populations in much denser urban conditions. While the urban microclimate ho…
Solving Machine Learning Problems
Sunny Tran, Pranav Krishna, Ishan Pakuwal +4
Can a machine learn Machine Learning? This work trains a machine learning model to solve machine learning problems from a University undergraduate level course. We generate a new t…
Privileged Zero-Shot AutoML
Nikhil Singh, Brandon Kates, Jeff Mentch +3
This work improves the quality of automated machine learning (AutoML) systems by using dataset and function descriptions while significantly decreasing computation time from minute…