Linear Response Estimators for Singular Statistical Models
Fuente:
arXiv
Saved in:
| Main Authors: | Elliott, Chris, Murfet, Daniel |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Susceptibilities and Patterning: A Primer on Linear Response in Bayesian Learning
by: Elliott, Chris, et al.
Published: (2026)
by: Elliott, Chris, et al.
Published: (2026)
Observable Geometry of Singular Statistical Models
by: Plummer, Sean
Published: (2026)
by: Plummer, Sean
Published: (2026)
Thermodynamic Response Functions in Singular Bayesian Models
by: Plummer, Sean
Published: (2026)
by: Plummer, Sean
Published: (2026)
Stability and Accuracy Trade-offs in Statistical Estimation
by: Chakraborty, Abhinav, et al.
Published: (2026)
by: Chakraborty, Abhinav, et al.
Published: (2026)
Minimax Statistical Estimation under Wasserstein Contamination
by: Chao, Patrick, et al.
Published: (2023)
by: Chao, Patrick, et al.
Published: (2023)
$L^1$ Estimation: On the Optimality of Linear Estimators
by: Barnes, Leighton P., et al.
Published: (2023)
by: Barnes, Leighton P., et al.
Published: (2023)
Double Descent: Understanding Linear Model Estimation of Nonidentifiable Parameters and a Model for Overfitting
by: Christensen, Ronald
Published: (2024)
by: Christensen, Ronald
Published: (2024)
Distributed Estimation and Inference for Semi-parametric Binary Response Models
by: Chen, Xi, et al.
Published: (2022)
by: Chen, Xi, et al.
Published: (2022)
Convergence of Statistical Estimators via Mutual Information Bounds
by: Khribch, El Mahdi, et al.
Published: (2024)
by: Khribch, El Mahdi, et al.
Published: (2024)
Hypothesis Testing over Observable Regimes in Singular Models
by: Plummer, Sean
Published: (2026)
by: Plummer, Sean
Published: (2026)
Statistical Mean Estimation with Coded Relayed Observations
by: Ling, Yan Hao, et al.
Published: (2025)
by: Ling, Yan Hao, et al.
Published: (2025)
Minimax Linear Regression under the Quantile Risk
by: Hanchi, Ayoub El, et al.
Published: (2024)
by: Hanchi, Ayoub El, et al.
Published: (2024)
Optimal Estimation of Shared Singular Subspaces across Multiple Noisy Matrices
by: Ma, Zhengchi, et al.
Published: (2024)
by: Ma, Zhengchi, et al.
Published: (2024)
Jackknife Variance Estimation for Hájek-Dominated Generalized U-Statistics
by: Juergens, Jakob R.
Published: (2025)
by: Juergens, Jakob R.
Published: (2025)
Order-Explicit Linearization of High-Dimensional $U$-Statistics
by: Ritzwoller, David M., et al.
Published: (2024)
by: Ritzwoller, David M., et al.
Published: (2024)
The Statistical Accuracy of Neural Posterior and Likelihood Estimation
by: Frazier, David T., et al.
Published: (2024)
by: Frazier, David T., et al.
Published: (2024)
Statistical Inference for Linear Functionals of Online Least-squares SGD when $t \gtrsim d^{1+δ}$
by: Agrawalla, Bhavya, et al.
Published: (2025)
by: Agrawalla, Bhavya, et al.
Published: (2025)
Decentralized Sparse Linear Regression via Gradient-Tracking: Linear Convergence and Statistical Guarantees
by: Maros, Marie, et al.
Published: (2022)
by: Maros, Marie, et al.
Published: (2022)
Spectral Estimators for Structured Generalized Linear Models via Approximate Message Passing
by: Zhang, Yihan, et al.
Published: (2023)
by: Zhang, Yihan, et al.
Published: (2023)
Singular Fluctuation as Specific Heat in Bayesian Learning
by: Plummer, Sean
Published: (2025)
by: Plummer, Sean
Published: (2025)
Statistical and Computational Efficiency for Smooth Tensor Estimation with Unknown Permutations
by: Lee, Chanwoo, et al.
Published: (2021)
by: Lee, Chanwoo, et al.
Published: (2021)
Statistical Convergence of Spherical First Hitting Diffusion Models
by: Bienewald, Simon, et al.
Published: (2026)
by: Bienewald, Simon, et al.
Published: (2026)
Computational-Statistical Gaps for Improper Learning in Sparse Linear Regression
by: Buhai, Rares-Darius, et al.
Published: (2024)
by: Buhai, Rares-Darius, et al.
Published: (2024)
Optimal Estimation in Orthogonally Invariant Generalized Linear Models: Spectral Initialization and Approximate Message Passing
by: Zhang, Yihan, et al.
Published: (2026)
by: Zhang, Yihan, et al.
Published: (2026)
Statistical Inference for Linear Functionals of Online SGD in High-dimensional Linear Regression
by: Agrawalla, Bhavya, et al.
Published: (2023)
by: Agrawalla, Bhavya, et al.
Published: (2023)
Linear Convergence of Diffusion Models Under the Manifold Hypothesis
by: Potaptchik, Peter, et al.
Published: (2024)
by: Potaptchik, Peter, et al.
Published: (2024)
Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution
by: Vardanyan, Elen, et al.
Published: (2023)
by: Vardanyan, Elen, et al.
Published: (2023)
An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization
by: Chen, Minshuo, et al.
Published: (2024)
by: Chen, Minshuo, et al.
Published: (2024)
A Statistical Theory of Contrastive Learning via Approximate Sufficient Statistics
by: Lin, Licong, et al.
Published: (2025)
by: Lin, Licong, et al.
Published: (2025)
Statistical-Computational Trade-offs in Tensor PCA and Related Problems via Communication Complexity
by: Dudeja, Rishabh, et al.
Published: (2022)
by: Dudeja, Rishabh, et al.
Published: (2022)
Statistical optimal transport
by: Chewi, Sinho, et al.
Published: (2024)
by: Chewi, Sinho, et al.
Published: (2024)
Statistical Inference in Tensor Completion: Optimal Uncertainty Quantification and Statistical-to-Computational Gaps
by: Ma, Wanteng, et al.
Published: (2024)
by: Ma, Wanteng, et al.
Published: (2024)
Confidence Sequences for Generalized Linear Models via Regret Analysis
by: Clerico, Eugenio, et al.
Published: (2025)
by: Clerico, Eugenio, et al.
Published: (2025)
Benign Overfitting in Time Series Linear Models with Over-Parameterization
by: Nakakita, Shogo, et al.
Published: (2022)
by: Nakakita, Shogo, et al.
Published: (2022)
Dropout Regularization Versus $\ell_2$-Penalization in the Linear Model
by: Clara, Gabriel, et al.
Published: (2023)
by: Clara, Gabriel, et al.
Published: (2023)
Statistical Inference under Performativity
by: Li, Xiang, et al.
Published: (2025)
by: Li, Xiang, et al.
Published: (2025)
Statistically guided deep learning
by: Kohler, Michael, et al.
Published: (2025)
by: Kohler, Michael, et al.
Published: (2025)
Statistical and computational challenges in ranking
by: Carpentier, Alexandra, et al.
Published: (2025)
by: Carpentier, Alexandra, et al.
Published: (2025)
Statistical-Computational Trade-offs in Learning Multi-Index Models via Harmonic Analysis
by: Latourelle-Vigeant, Hugo, et al.
Published: (2026)
by: Latourelle-Vigeant, Hugo, et al.
Published: (2026)
Unveil Conditional Diffusion Models with Classifier-free Guidance: A Sharp Statistical Theory
by: Fu, Hengyu, et al.
Published: (2024)
by: Fu, Hengyu, et al.
Published: (2024)
Similar Items
-
Susceptibilities and Patterning: A Primer on Linear Response in Bayesian Learning
by: Elliott, Chris, et al.
Published: (2026) -
Observable Geometry of Singular Statistical Models
by: Plummer, Sean
Published: (2026) -
Thermodynamic Response Functions in Singular Bayesian Models
by: Plummer, Sean
Published: (2026) -
Stability and Accuracy Trade-offs in Statistical Estimation
by: Chakraborty, Abhinav, et al.
Published: (2026) -
Minimax Statistical Estimation under Wasserstein Contamination
by: Chao, Patrick, et al.
Published: (2023)