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Journal Articles
- 2024
[j6]Hengrui Luo, Jeremy E. Purvis, Didong Li:
Spherical Rotation Dimension Reduction with Geometric Loss Functions. J. Mach. Learn. Res. 25: 175:1-175:55 (2024)- 2023
- [j5]Didong Li, Wenpin Tang, Sudipto Banerjee:
Inference for Gaussian Processes with Matern Covariogram on Compact Riemannian Manifolds. J. Mach. Learn. Res. 24: 101:1-101:26 (2023) - 2022
- [j4]Emmanuel Chevallier, Didong Li, Yulong Lu, David B. Dunson:
Exponential-Wrapped Distributions on Symmetric Spaces. SIAM J. Math. Data Sci. 4(4): 1347-1368 (2022) - 2021
- [j3]Yueqi Cao
, Didong Li, Huafei Sun, Amir H. Assadi, Shiqiang Zhang:
Efficient Weingarten map and curvature estimation on manifolds. Mach. Learn. 110(6): 1319-1344 (2021) - 2020
- [j2]Mingming Li, Huafei Sun, Didong Li:
A Geometric Approach to Average Problems on Multinomial and Negative Multinomial Models. Entropy 22(3): 306 (2020) - 2017
- [j1]Jing Wang, Huafei Sun, Didong Li:
A Geodesic-Based Riemannian Gradient Approach to Averaging on the Lorentz Group. Entropy 19(12): 698 (2017)
Conference and Workshop Papers
- 2023
- [c1]Jiawen Chen, Wancen Mu, Yun Li, Didong Li:
On the Identifiability and Interpretability of Gaussian Process Models. NeurIPS 2023
Informal and Other Publications
- 2024
- [i11]Yun Jin Park, Didong Li:
Lower Ricci Curvature for Efficient Community Detection. CoRR abs/2401.10124 (2024) - [i10]Jiawen Chen, Muqing Zhou, Wenrong Wu, Jinwei Zhang, Yun Li, Didong Li:
STimage-1K4M: A histopathology image-gene expression dataset for spatial transcriptomics. CoRR abs/2406.06393 (2024) - [i9]Buxin Su, Jiayao Zhang, Natalie Collina, Yuling Yan, Didong Li, Kyunghyun Cho, Jianqing Fan, Aaron Roth, Weijie J. Su:
Analysis of the ICML 2023 Ranking Data: Can Authors' Opinions of Their Own Papers Assist Peer Review in Machine Learning? CoRR abs/2408.13430 (2024) - 2023
- [i8]Aishwarya Mandyam, Didong Li, Diana Cai, Andrew Jones, Barbara E. Engelhardt:
Kernel Density Bayesian Inverse Reinforcement Learning. CoRR abs/2303.06827 (2023) - [i7]Sam Hawke, Hengrui Luo, Didong Li:
Contrastive inverse regression for dimension reduction. CoRR abs/2305.12287 (2023) - [i6]Jiawen Chen, Wancen Mu, Yun Li, Didong Li:
On the Identifiability and Interpretability of Gaussian Process Models. CoRR abs/2310.17023 (2023) - 2022
- [i5]Hengrui Luo, Didong Li:
Spherical Rotation Dimension Reduction with Geometric Loss Functions. CoRR abs/2204.10975 (2022) - 2021
- [i4]Tianyu Wang, Yifeng Huang, Didong Li:
From the Greene-Wu Convolution to Gradient Estimation over Riemannian Manifolds. CoRR abs/2108.07406 (2021) - 2020
- [i3]Didong Li, Andrew Jones, Barbara E. Engelhardt:
Probabilistic Contrastive Principal Component Analysis. CoRR abs/2012.07977 (2020) - 2019
- [i2]Didong Li, David B. Dunson:
Classification via local manifold approximation. CoRR abs/1903.00985 (2019) - [i1]Yueqi Cao, Didong Li, Huafei Sun, Amir H. Assadi, Shiqiang Zhang:
Efficient Curvature Estimation for Oriented Point Clouds. CoRR abs/1905.10725 (2019)
Coauthor Index
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last updated on 2024-10-01 21:38 CEST by the dblp team
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