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ORCIDGeng Ji 0001
Person information
- affiliation: Meta AI, USA
- affiliation (former): Brown University, Providence, RI, USA
Other persons with the same name
- Geng Ji 0002 — Taizhou University, Linhai, China
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Books and Theses
- 2019
[b1]Geng Ji:
Efficient Variational Inference for Hierarchical Models of Images, Text, and Networks. University of California, Irvine, USA, 2019
Journal Articles
- 2024
- [j2]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): 1509 (2024) - [j1]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): 2559-2573 (2024)
Conference and Workshop Papers
- 2022
- [c4]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: 2205-2215 - 2021
- [c3]Geng Ji, Debora Sujono, Erik B. Sudderth:
Marginalized Stochastic Natural Gradients for Black-Box Variational Inference. ICML 2021: 4870-4881 - 2019
- [c2]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: 873-882 - 2017
- [c1]Geng Ji, Michael C. Hughes
, Erik B. Sudderth:
From Patches to Images: A Nonparametric Generative Model. ICML 2017: 1675-1683
Informal and Other Publications
- 2022
- [i2]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 abs/2203.06801 (2022) - 2017
- [i1]Geng Ji, Robert Bamler, Erik B. Sudderth, Stephan Mandt:
Bayesian Paragraph Vectors. CoRR abs/1711.03946 (2017)
Coauthor Index
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