Tiancong Chen

11 papers A* 3A 1Journal 7
YearRankTypeTitle / Venue / Authors
2024 A* conf
DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models.
NeurIPS
Hengkang Wang, Xu Zhang, Taihui Li, Yuxiang Wan, Tiancong Chen, Ju Sun
2024 J jnl
DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models.
CoRR
Hengkang Wang, Xu Zhang, Taihui Li, Yuxiang Wan, Tiancong Chen, Ju Sun
2023 J jnl
Early Stopping for Deep Image Prior.
Trans. Mach. Learn. Res.
Hengkang Wang, Taihui Li, Zhong Zhuang, Tiancong Chen, Hengyue Liang, Ju Sun
2022 A* conf
Stability Based Generalization Bounds for Exponential Family Langevin Dynamics.
ICML
Arindam Banerjee, Tiancong Chen, Xinyan Li, Yingxue Zhou
2022 J jnl
Stability Based Generalization Bounds for Exponential Family Langevin Dynamics.
CoRR
Arindam Banerjee, Tiancong Chen, Xinyan Li, Yingxue Zhou
2021 J jnl
Early Stopping for Deep Image Prior.
CoRR
Hengkang Wang, Taihui Li, Zhong Zhuang, Tiancong Chen, Hengyue Liang, Ju Sun
2020 J jnl
De-randomized PAC-Bayes Margin Bounds: Applications to Non-convex and Non-smooth Predictors.
CoRR
Arindam Banerjee, Tiancong Chen, Yingxue Zhou
2020 A* conf
Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms.
NeurIPS
Xiangyi Chen, Tiancong Chen, Haoran Sun, Zhiwei Steven Wu, Mingyi Hong
2020 A conf
Hessian based analysis of SGD for Deep Nets: Dynamics and Generalization.
SDM
Xinyan Li, Qilong Gu, Yingxue Zhou, Tiancong Chen, Arindam Banerjee
2019 J jnl
Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms.
CoRR
Xiangyi Chen, Tiancong Chen, Haoran Sun, Zhiwei Steven Wu, Mingyi Hong
2019 J jnl
Hessian based analysis of SGD for Deep Nets: Dynamics and Generalization.
CoRR
Xinyan Li, Qilong Gu, Yingxue Zhou, Tiancong Chen, Arindam Banerjee