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.

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



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