Orbit: Probabilistic Forecast with Exponential Smoothing

1 code implementation • 18 Apr 2020 • Edwin Ng, Zhishi Wang, Huigang Chen, Steve Yang, Slawek Smyl

Time series forecasting is an active research topic in academia as well as industry.

Computation Methodology

Adversarial Validation Approach to Concept Drift Problem in User Targeting Automation Systems at Uber

no code implementations • 7 Apr 2020 • Jing Pan, Vincent Pham, Mohan Dorairaj, Huigang Chen, Jeong-Yoon Lee

Here, we introduce an adversarial validation approach to concept drift problems in user targeting automation systems.

CausalML: Python Package for Causal Machine Learning

2 code implementations • 25 Feb 2020 • Huigang Chen, Totte Harinen, Jeong-Yoon Lee, Mike Yung, Zhenyu Zhao

CausalML is a Python implementation of algorithms related to causal inference and machine learning.

BIG-bench Machine Learning Causal Inference