Yi Liu 0062

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

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Publications

2023
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Peng Liu, Yi Liu, Rui Zhu, Linglong Kong, Bei Jiang, Di Niu:
Optimal Smooth Approximation for Quantile Matrix Factorization. SDM 2023: 595-603
2022
[c3]
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  - conf/nips/00620JK22
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Yi Liu, Ke Sun, Bei Jiang, Linglong Kong:
Identification, Amplification and Measurement: A bridge to Gaussian Differential Privacy. NeurIPS 2022
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  - journals/corr/abs-2202-00769
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Ke Sun, Yingnan Zhao, Yi Liu, Bei Jiang, Linglong Kong:
Distributional Reinforcement Learning via Sinkhorn Iterations. CoRR abs/2202.00769 (2022)
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  - journals/corr/abs-2210-09269
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Yi Liu, Ke Sun, Linglong Kong, Bei Jiang:
Identification, Amplification and Measurement: A bridge to Gaussian Differential Privacy. CoRR abs/2210.09269 (2022)
2021
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  - conf/nips/SunWLZPJJK21
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Ke Sun, Yafei Wang, Yi Liu, Yingnan Zhao, Bo Pan, Shangling Jui, Bei Jiang, Linglong Kong:
Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization. NeurIPS 2021: 3732-3743
[i3]
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  - journals/corr/abs-2109-08776
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Ke Sun, Yi Liu, Yingnan Zhao, Hengshuai Yao, Shangling Jui, Linglong Kong:
Exploring the Robustness of Distributional Reinforcement Learning against Noisy State Observations. CoRR abs/2109.08776 (2021)
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  - journals/corr/abs-2110-03155
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Ke Sun, Yingnan Zhao, Yi Liu, Enze Shi, Yafei Wang, Aref Sadeghi, Xiaodong Yan, Bei Jiang, Linglong Kong:
Towards Understanding Distributional Reinforcement Learning: Regularization, Optimization, Acceleration and Sinkhorn Algorithm. CoRR abs/2110.03155 (2021)
[i1]
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  - journals/corr/abs-2110-08896
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Ke Sun, Yafei Wang, Yi Liu, Yingnan Zhao, Bo Pan, Shangling Jui, Bei Jiang, Linglong Kong:
Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization. CoRR abs/2110.08896 (2021)
2020
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  - journals/entropy/SuWLBAPJKT20
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Tong Su, Yafei Wang, Yi Liu, William G. Branton, Eugene Asahchop, Christopher Power, Bei Jiang, Linglong Kong, Niansheng Tang:
Sparse Multicategory Generalized Distance Weighted Discrimination in Ultra-High Dimensions. Entropy 22(11): 1257 (2020)
2019
[c1]
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  - conf/icdm/TuLZLKLJTY19
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Wei Tu, Peng Liu, Jingyu Zhao, Yi Liu, Linglong Kong, Guodong Li, Bei Jiang, Guangjian Tian, Hengshuai Yao:
M-estimation in Low-Rank Matrix Factorization: A General Framework. ICDM 2019: 568-577

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