Geng Ji

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 8

Top Topics

Accelerated Proximal Gradient

Variational Inference

Recommendation Systems

Supervised Learning

Top Venues

Publications

Geng Ji, Wentao Jiang, Jiang Li, Fahmid Morshed Fahid, Zhengxing Chen, Yinghua Li, Jun Xiao, Chongxi Bao, Zheqing Zhu
Learning to bid and rank together in recommendation systems. Mach. Learn. 113 (5) (2024)
Geng Ji, Wentao Jiang, Jiang Li, Fahmid Morshed Fahid, Zhengxing Chen, Yinghua Li, Jun Xiao, Chongxi Bao, Zheqing Zhu
Correction to: Learning to bid and rank together in recommendation systems. Mach. Learn. 113 (3) (2024)
Yun He, Xue Feng, Cheng Cheng, Geng Ji, Yunsong Guo, James Caverlee
MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks. WWW (2022)
Yun He, Xue Feng, Cheng Cheng, Geng Ji, Yunsong Guo, James Caverlee
MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks. CoRR (2022)
Geng Ji, Debora Sujono, Erik B. Sudderth
Marginalized Stochastic Natural Gradients for Black-Box Variational Inference. ICML (2021)
Geng Ji, Dehua Cheng, Huazhong Ning, Changhe Yuan, Hanning Zhou, Liang Xiong, Erik B. Sudderth
Variational Training for Large-Scale Noisy-OR Bayesian Networks. UAI (2019)
Geng Ji, Michael C. Hughes, Erik B. Sudderth
From Patches to Images: A Nonparametric Generative Model. ICML (2017)
Geng Ji, Robert Bamler, Erik B. Sudderth, Stephan Mandt
Bayesian Paragraph Vectors. CoRR (2017)