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Geng Ji

Affiliations:
  • Meta AI, USA
  • Brown University, Providence, RI, USA (former)


According to our database1, Geng Ji authored at least 7 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Correction to: Learning to bid and rank together in recommendation systems.
[BibTeX]
[DOI]
Geng Ji
,
Wentao Jiang
,
Jiang Li
,
Fahmid Morshed Fahid
,
Zhengxing Chen
,
Yinghua Li
,
Jun Xiao
,
Chongxi Bao
,
Zheqing Zhu
Mach. Learn., 2024

2022
MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks.
[BibTeX]
[DOI]
Yun He
,
Xue Feng
,
Cheng Cheng
,
Geng Ji
,
Yunsong Guo
,
James Caverlee
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

2021
Marginalized Stochastic Natural Gradients for Black-Box Variational Inference.
[BibTeX]
[DOI]
Geng Ji
,
Debora Sujono
,
Erik B. Sudderth
Proceedings of the 38th International Conference on Machine Learning, 2021

2019
Efficient Variational Inference for Hierarchical Models of Images, Text, and Networks.
[BibTeX]
[DOI]
Geng Ji
PhD thesis, 2019

Variational Training for Large-Scale Noisy-OR Bayesian Networks.
[BibTeX]
[DOI]
Geng Ji
,
Dehua Cheng
,
Huazhong Ning
,
Changhe Yuan
,
Hanning Zhou
,
Liang Xiong
,
Erik B. Sudderth
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

2017
Bayesian Paragraph Vectors.
[BibTeX]
[DOI]
Geng Ji
,
Robert Bamler
,
Erik B. Sudderth
,
Stephan Mandt
CoRR, 2017

From Patches to Images: A Nonparametric Generative Model.
[BibTeX]
[DOI]
Geng Ji
,
Michael C. Hughes
,
Erik B. Sudderth
Proceedings of the 34th International Conference on Machine Learning, 2017


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