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Geng Ji 0001

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

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2020 – today

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2024
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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)
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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)
2022
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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
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  - journals/corr/abs-2203-06801
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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)
2021
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Geng Ji, Debora Sujono, Erik B. Sudderth:
Marginalized Stochastic Natural Gradients for Black-Box Variational Inference. ICML 2021: 4870-4881

2010 – 2019

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2019
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Geng Ji:
Efficient Variational Inference for Hierarchical Models of Images, Text, and Networks. University of California, Irvine, USA, 2019
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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
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Geng Ji, Michael C. Hughes, Erik B. Sudderth:
From Patches to Images: A Nonparametric Generative Model. ICML 2017: 1675-1683
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  - journals/corr/abs-1711-03946
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Geng Ji, Robert Bamler, Erik B. Sudderth, Stephan Mandt:
Bayesian Paragraph Vectors. CoRR abs/1711.03946 (2017)

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