home.social

#nonparametric — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #nonparametric, aggregated by home.social.

  1. 'Learning causal graphs via nonlinear sufficient dimension reduction', by Eftychia Solea, Bing Li, Kyongwon Kim.

    jmlr.org/papers/v26/24-0048.ht

    #causal #nonparametric #observational

  2. 'Learning causal graphs via nonlinear sufficient dimension reduction', by Eftychia Solea, Bing Li, Kyongwon Kim.

    jmlr.org/papers/v26/24-0048.ht

    #causal #nonparametric #observational

  3. 'Learning causal graphs via nonlinear sufficient dimension reduction', by Eftychia Solea, Bing Li, Kyongwon Kim.

    jmlr.org/papers/v26/24-0048.ht

    #causal #nonparametric #observational

  4. 'Learning causal graphs via nonlinear sufficient dimension reduction', by Eftychia Solea, Bing Li, Kyongwon Kim.

    jmlr.org/papers/v26/24-0048.ht

    #causal #nonparametric #observational

  5. 'Learning causal graphs via nonlinear sufficient dimension reduction', by Eftychia Solea, Bing Li, Kyongwon Kim.

    jmlr.org/papers/v26/24-0048.ht

    #causal #nonparametric #observational

  6. 'From Sparse to Dense Functional Data in High Dimensions: Revisiting Phase Transitions from a Non-Asymptotic Perspective', by Shaojun Guo, Dong Li, Xinghao Qiao, Yizhu Wang.

    jmlr.org/papers/v26/23-1578.ht

    #sparse #nonparametric #smoothing

  7. 'From Sparse to Dense Functional Data in High Dimensions: Revisiting Phase Transitions from a Non-Asymptotic Perspective', by Shaojun Guo, Dong Li, Xinghao Qiao, Yizhu Wang.

    jmlr.org/papers/v26/23-1578.ht

    #sparse #nonparametric #smoothing

  8. 'From Sparse to Dense Functional Data in High Dimensions: Revisiting Phase Transitions from a Non-Asymptotic Perspective', by Shaojun Guo, Dong Li, Xinghao Qiao, Yizhu Wang.

    jmlr.org/papers/v26/23-1578.ht

    #sparse #nonparametric #smoothing

  9. 'From Sparse to Dense Functional Data in High Dimensions: Revisiting Phase Transitions from a Non-Asymptotic Perspective', by Shaojun Guo, Dong Li, Xinghao Qiao, Yizhu Wang.

    jmlr.org/papers/v26/23-1578.ht

    #sparse #nonparametric #smoothing

  10. 'From Sparse to Dense Functional Data in High Dimensions: Revisiting Phase Transitions from a Non-Asymptotic Perspective', by Shaojun Guo, Dong Li, Xinghao Qiao, Yizhu Wang.

    jmlr.org/papers/v26/23-1578.ht

    #sparse #nonparametric #smoothing

  11. 'More Efficient Estimation of Multivariate Additive Models Based on Tensor Decomposition and Penalization', by Xu Liu, Heng Lian, Jian Huang.

    jmlr.org/papers/v25/22-0578.ht

    #multivariate #tensor #nonparametric

  12. 'Nonparametric Inference under B-bits Quantization', by Kexuan Li, Ruiqi Liu, Ganggang Xu, Zuofeng Shang.

    jmlr.org/papers/v25/20-075.htm

    #nonparametric #spline #quantization

  13. 'Nonparametric Inference under B-bits Quantization', by Kexuan Li, Ruiqi Liu, Ganggang Xu, Zuofeng Shang.

    jmlr.org/papers/v25/20-075.htm

    #nonparametric #spline #quantization

  14. 'Distributed Nonparametric Regression Imputation for Missing Response Problems with Large-scale Data', by Ruoyu Wang, Miaomiao Su, Qihua Wang.

    jmlr.org/papers/v24/21-0673.ht

    #imputation #nonparametric #semiparametric