Efficient Shapley Performance Attribution for Least-Squares Regression
Fuente:
arXiv
Saved in:
| Main Authors: | Bell, Logan, Devanathan, Nikhil, Boyd, Stephen |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Annealed Leap-Point Sampler for Multimodal Target Distributions
by: Tawn, Nicholas G., et al.
Published: (2021)
by: Tawn, Nicholas G., et al.
Published: (2021)
On the super-efficiency and robustness of the least squares of depth-trimmed regression estimator
by: Zuo, Yijun, et al.
Published: (2025)
by: Zuo, Yijun, et al.
Published: (2025)
Adaptive Kernel Regression for Constrained Route Alignment: Theory and Iterative Data Sharpening
by: Du, Shiyin, et al.
Published: (2026)
by: Du, Shiyin, et al.
Published: (2026)
Non-asymptotic analysis of the performance of the penalized least trimmed squares in sparse models
by: Zuo, Yijun
Published: (2025)
by: Zuo, Yijun
Published: (2025)
Large sample behavior of the least trimmed squares estimator
by: Zuo, Yijun
Published: (2022)
by: Zuo, Yijun
Published: (2022)
A spatial-correlated multitask linear mixed-effects model for imaging genetics
by: Pu, Zhibin, et al.
Published: (2024)
by: Pu, Zhibin, et al.
Published: (2024)
Regression and Dimension Reduction for Multivariate Mixed-Type Data via Semiparametric Gaussian Copula
by: Dey, Debangan, et al.
Published: (2022)
by: Dey, Debangan, et al.
Published: (2022)
Poisson Regression in one Covariate on Massive Data
by: Reuter, Torsten, et al.
Published: (2024)
by: Reuter, Torsten, et al.
Published: (2024)
Variable Selection for Additive Global Fréchet Regression
by: Yang, Haoyi, et al.
Published: (2025)
by: Yang, Haoyi, et al.
Published: (2025)
A two-way heterogeneity model for dynamic networks
by: Jiang, Binyan, et al.
Published: (2023)
by: Jiang, Binyan, et al.
Published: (2023)
Localizing differences in smooths with simultaneous confidence bounds on the true discovery proportion
by: Swanson, David
Published: (2020)
by: Swanson, David
Published: (2020)
Projection predictive variable selection for discrete response families with finite support
by: Weber, Frank, et al.
Published: (2023)
by: Weber, Frank, et al.
Published: (2023)
A Bayesian approach to functional regression: theory and computation
by: Berrendero, José R., et al.
Published: (2023)
by: Berrendero, José R., et al.
Published: (2023)
Non-conjugate variational Bayes for pseudo-likelihood mixed effect models
by: Castiglione, Cristian, et al.
Published: (2022)
by: Castiglione, Cristian, et al.
Published: (2022)
Procrustes Problems on Random Matrices
by: Jasa, Hajg, et al.
Published: (2025)
by: Jasa, Hajg, et al.
Published: (2025)
Composite Lp-quantile regression, near quantile regression and the oracle model selection theory
by: Mou, Fuming Lin WEilin
Published: (2025)
by: Mou, Fuming Lin WEilin
Published: (2025)
Finding Groups of Cross-Correlated Features in Bi-View Data
by: Dewaskar, Miheer, et al.
Published: (2020)
by: Dewaskar, Miheer, et al.
Published: (2020)
Statistical Disaggregation -- a Monte Carlo Approach for Imputation under Constraints
by: Hu, Shenggang, et al.
Published: (2025)
by: Hu, Shenggang, et al.
Published: (2025)
Random sampling of contingency tables and partitions: Two practical examples of the Burnside process
by: Diaconis, Persi, et al.
Published: (2025)
by: Diaconis, Persi, et al.
Published: (2025)
Efficient Inference on High-Dimensional Linear Models with Missing Outcomes
by: Zhang, Yikun, et al.
Published: (2023)
by: Zhang, Yikun, et al.
Published: (2023)
elicito: A Python Package for Expert Prior Elicitation
by: Bockting, Florence, et al.
Published: (2025)
by: Bockting, Florence, et al.
Published: (2025)
Bayesian multilevel compositional data analysis with the R package multilevelcoda
by: Le, Flora, et al.
Published: (2024)
by: Le, Flora, et al.
Published: (2024)
Quick and Simple Kernel Differential Equation Regression Estimators for Data with Sparse Design
by: Ge, Chunlei, et al.
Published: (2024)
by: Ge, Chunlei, et al.
Published: (2024)
Independent vector analysis -- an introduction for statisticians
by: Arvila, Miro, et al.
Published: (2025)
by: Arvila, Miro, et al.
Published: (2025)
Correcting for partial verification bias in diagnostic accuracy studies: A tutorial using R
by: Arifin, Wan Nor, et al.
Published: (2025)
by: Arifin, Wan Nor, et al.
Published: (2025)
Estimation of log-Gaussian gamma processes with iterated posterior linearization and Hamiltonian Monte Carlo
by: Härkönen, Teemu, et al.
Published: (2026)
by: Härkönen, Teemu, et al.
Published: (2026)
A Principled Approach to Bayesian Transfer Learning
by: Bretherton, Adam, et al.
Published: (2025)
by: Bretherton, Adam, et al.
Published: (2025)
Regularized least squares learning with heavy-tailed noise is minimax optimal
by: Mollenhauer, Mattes, et al.
Published: (2025)
by: Mollenhauer, Mattes, et al.
Published: (2025)
Generative Modelling via Quantile Regression
by: Schmidt-Hieber, Johannes, et al.
Published: (2024)
by: Schmidt-Hieber, Johannes, et al.
Published: (2024)
friends.test: rank-based method for feature selection in interaction matrices
by: Suvorikova, Alexandra, et al.
Published: (2025)
by: Suvorikova, Alexandra, et al.
Published: (2025)
Identifiable Convex-Concave Regression via Sub-gradient Regularised Least Squares
by: Chung, William
Published: (2025)
by: Chung, William
Published: (2025)
Choosing observation operators to mitigate model error in Bayesian inverse problems
by: Cvetković, Nada, et al.
Published: (2023)
by: Cvetković, Nada, et al.
Published: (2023)
A model and method for analyzing the precision of binary measurement methods based on beta-binomial distributions, and related statistical tests
by: Takeshita, Jun-ichi, et al.
Published: (2020)
by: Takeshita, Jun-ichi, et al.
Published: (2020)
Convergence of SMACOF
by: De Leeuw, Jan
Published: (2024)
by: De Leeuw, Jan
Published: (2024)
Implicit vs. explicit regularization for high-dimensional gradient descent
by: Stark, Thomas, et al.
Published: (2025)
by: Stark, Thomas, et al.
Published: (2025)
MOODE: An R Package for Multi-Objective Optimal Design of Experiments
by: Koutra, Vasiliki, et al.
Published: (2024)
by: Koutra, Vasiliki, et al.
Published: (2024)
Rate accelerated inference for integrals of multivariate random functions
by: Patilea, Valentin, et al.
Published: (2024)
by: Patilea, Valentin, et al.
Published: (2024)
Bayesian Model Calibration and Sensitivity Analysis for Oscillating Biological Experiments
by: Hwang, Youngdeok, et al.
Published: (2021)
by: Hwang, Youngdeok, et al.
Published: (2021)
New explanations and inference for least angle regression
by: Gregory, Karl B., et al.
Published: (2026)
by: Gregory, Karl B., et al.
Published: (2026)
GenTwoArmsTrialSize: An R Statistical Software Package to estimate Generalized Two Arms Randomized Clinical Trial Sample Size
by: Soltanifar, Mohsen, et al.
Published: (2024)
by: Soltanifar, Mohsen, et al.
Published: (2024)
Similar Items
-
Annealed Leap-Point Sampler for Multimodal Target Distributions
by: Tawn, Nicholas G., et al.
Published: (2021) -
On the super-efficiency and robustness of the least squares of depth-trimmed regression estimator
by: Zuo, Yijun, et al.
Published: (2025) -
Adaptive Kernel Regression for Constrained Route Alignment: Theory and Iterative Data Sharpening
by: Du, Shiyin, et al.
Published: (2026) -
Non-asymptotic analysis of the performance of the penalized least trimmed squares in sparse models
by: Zuo, Yijun
Published: (2025) -
Large sample behavior of the least trimmed squares estimator
by: Zuo, Yijun
Published: (2022)