46 citations · 46 across the 1 of their papers we have counts for
3 papers
stat.CO2020
Orbit: Probabilistic Forecast with Exponential Smoothing
Edwin Ng, Zhishi Wang, Huigang Chen +2
Time series forecasting is an active research topic in academia as well as industry. Although we see an increasing amount of adoptions of machine learning methods in solving some o…
cs.LG2020
Adversarial Validation Approach to Concept Drift Problem in User Targeting Automation Systems at Uber
Jing Pan, Vincent Pham, Mohan Dorairaj +2
In user targeting automation systems, concept drift in input data is one of the main challenges. It deteriorates model performance on new data over time. Previous research on conce…
cs.CY2020★ 46 cited
CausalML: Python Package for Causal Machine Learning
Huigang Chen, Totte Harinen, Jeong-Yoon Lee +2
CausalML is a Python implementation of algorithms related to causal inference and machine learning. Algorithms combining causal inference and machine learning have been a trending…