Search Results for author: Yiping Ke

Found 5 papers, 1 papers with code

Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions

1 code implementation7 Jul 2021 Tianbo Li, Tianze Luo, Yiping Ke, Sinno Jialin Pan

Neural marked point processes possess good interpretability of probabilistic models as well as the representational power of neural networks.

Model Selection Point Processes

Subdomain Adaptation with Manifolds Discrepancy Alignment

no code implementations6 May 2020 Pengfei Wei, Yiping Ke, Xinghua Qu, Tze-Yun Leong

Specifically, we propose to use low-dimensional manifold to represent subdomain, and align the local data distribution discrepancy in each manifold across domains.

Transfer Learning

Thinning for Accelerating the Learning of Point Processes

no code implementations NeurIPS 2019 Tianbo Li, Yiping Ke

Experimental results on synthetic and real-world datasets validate the effectiveness of thinning in the tasks of parameter and gradient estimation, as well as stochastic optimization.

Point Processes Stochastic Optimization

Stochastic Variance Reduced Riemannian Eigensolver

no code implementations26 May 2016 Zhiqiang Xu, Yiping Ke

We generalize it to Riemannian manifolds and realize it to solve the non-convex eigen-decomposition problem.

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