Geng Ji
Menlo Park, United States
Geng Ji is a research scientist at Facebook AI since 2019. His research interests include reinforcement learning, counterfactual reasoning, large-scale Bayesian inference and their applications in Facebook products ranging from recommendation systems to text understanding. He got his PhD in computer science from UC Irvine, and finished his undergrad in engineering physics in Tsinghua University, China.
Research Areas
Geng's Work
Geng's Publications
July 18, 2021
Core Machine Learning
Marginalized Stochastic Natural Gradients for Black-Box Variational Inference
Geng Ji, Debora Sujono, Erik B. Sudderth
July 18, 2021
June 30, 2019
Research
NLP
Variational Training for Large-Scale Noisy-OR Bayesian Networks
Geng Ji, Dehua Cheng, Huazhong Ning, Changhe Yuan, Hanning Zhou, Liang Xiong, Erik B. Sudderth
June 30, 2019
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