Unveiling low-dimensional patterns induced by convex non-differentiable regularizers
Fuente:
arXiv
Guardado en:
| Autores principales: | Hejný, Ivan, Wallin, Jonas, Bogdan, Małgorzata, Kos, Michał |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Asymptotic Distribution of Low-Dimensional Patterns Induced by Non-Differentiable Regularizers under General Loss Functions
por: Hejný, Ivan, et al.
Publicado: (2025)
por: Hejný, Ivan, et al.
Publicado: (2025)
Identifying Network Hubs with the Partial Correlation Graphical LASSO
por: Bogdan, Małgorzata, et al.
Publicado: (2025)
por: Bogdan, Małgorzata, et al.
Publicado: (2025)
Asymptotic Theory for Graphical SLOPE: Precision Estimation and Pattern Convergence
por: Hejný, Ivan, et al.
Publicado: (2026)
por: Hejný, Ivan, et al.
Publicado: (2026)
Spatial confounding under infill asymptotics
por: Bolin, David, et al.
Publicado: (2024)
por: Bolin, David, et al.
Publicado: (2024)
An explicit link between graphical models and Gaussian Markov random fields on metric graphs
por: Bolin, David, et al.
Publicado: (2025)
por: Bolin, David, et al.
Publicado: (2025)
Detecting non-uniform patterns on high-dimensional hyperspheres
por: Jiang, Tiefeng, et al.
Publicado: (2025)
por: Jiang, Tiefeng, et al.
Publicado: (2025)
Geometric ergodicity of Gibbs samplers for linear latent models with GIG variance mixtures
por: Awadelkarim, Elsiddig, et al.
Publicado: (2026)
por: Awadelkarim, Elsiddig, et al.
Publicado: (2026)
Optimal convex lifted sparse phase retrieval and PCA with an atomic matrix norm regularizer
por: McRae, Andrew D., et al.
Publicado: (2021)
por: McRae, Andrew D., et al.
Publicado: (2021)
Topological trivialization in non-convex empirical risk minimization
por: Montanari, Andrea, et al.
Publicado: (2026)
por: Montanari, Andrea, et al.
Publicado: (2026)
On the differentiability of $ϕ$-projections in the discrete finite case
por: Geenens, Gery, et al.
Publicado: (2024)
por: Geenens, Gery, et al.
Publicado: (2024)
CLT in high-dimensional Bayesian linear regression with low SNR
por: Lee, Seunghyun, et al.
Publicado: (2025)
por: Lee, Seunghyun, et al.
Publicado: (2025)
High-dimensional logistic regression with missing data: Imputation, regularization, and universality
por: Verchand, Kabir Aladin, et al.
Publicado: (2024)
por: Verchand, Kabir Aladin, et al.
Publicado: (2024)
Asymptotics of constrained $M$-estimation under convexity
por: Brunel, Victor-Emmanuel
Publicado: (2025)
por: Brunel, Victor-Emmanuel
Publicado: (2025)
Reflected diffusion models adapt to low-dimensional data
por: Holk, Asbjørn, et al.
Publicado: (2026)
por: Holk, Asbjørn, et al.
Publicado: (2026)
Markov properties of Gaussian random fields on compact metric graphs
por: Bolin, David, et al.
Publicado: (2023)
por: Bolin, David, et al.
Publicado: (2023)
Optimal tuning-free convex relaxation for noisy matrix completion
por: Yang, Yuepeng, et al.
Publicado: (2022)
por: Yang, Yuepeng, et al.
Publicado: (2022)
Generalization of the simplicial depth: no vanishment outside the convex hull of the distribution support
por: Francisci, Giacomo, et al.
Publicado: (2019)
por: Francisci, Giacomo, et al.
Publicado: (2019)
The noise barrier and the large signal bias of the Lasso and other convex estimators
por: Bellec, Pierre C
Publicado: (2018)
por: Bellec, Pierre C
Publicado: (2018)
Bayesian high-dimensional covariate selection in non-linear mixed-effects models using the SAEM algorithm
por: Naveau, Marion, et al.
Publicado: (2022)
por: Naveau, Marion, et al.
Publicado: (2022)
Efficiency in local differential privacy
por: Steinberger, Lukas
Publicado: (2023)
por: Steinberger, Lukas
Publicado: (2023)
Detection and inference of changes in high-dimensional linear regression with non-sparse structures
por: Cho, Haeran, et al.
Publicado: (2024)
por: Cho, Haeran, et al.
Publicado: (2024)
Some facts about the optimality of the LSE in the Gaussian sequence model with convex constraint
por: Prasadan, Akshay, et al.
Publicado: (2024)
por: Prasadan, Akshay, et al.
Publicado: (2024)
The Strong Screening Rule for SLOPE
por: Larsson, Johan, et al.
Publicado: (2020)
por: Larsson, Johan, et al.
Publicado: (2020)
Distributional regression: CRPS-error bounds for model fitting, model selection and convex aggregation
por: Dombry, Clément, et al.
Publicado: (2024)
por: Dombry, Clément, et al.
Publicado: (2024)
A variational Bayes approach to debiased inference for low-dimensional parameters in high-dimensional linear regression
por: Castillo, Ismaël, et al.
Publicado: (2024)
por: Castillo, Ismaël, et al.
Publicado: (2024)
Gaussian random projections of convex cones: approximate kinematic formulae and applications
por: Han, Qiyang, et al.
Publicado: (2022)
por: Han, Qiyang, et al.
Publicado: (2022)
The differential structure shared by probability and moment matching priors on non-regular statistical models via the Lie derivative
por: Yoshioka, Masaki, et al.
Publicado: (2025)
por: Yoshioka, Masaki, et al.
Publicado: (2025)
Theoretical Analysis of Leave-one-out Cross Validation for Non-differentiable Penalties under High-dimensional Settings
por: Zou, Haolin, et al.
Publicado: (2024)
por: Zou, Haolin, et al.
Publicado: (2024)
A theory of shape regularity for local regression maps
por: Bettinger, Jérémy, et al.
Publicado: (2025)
por: Bettinger, Jérémy, et al.
Publicado: (2025)
Optimal ridge penalty for real-world high-dimensional data can be zero or negative due to the implicit ridge regularization
por: Kobak, Dmitry, et al.
Publicado: (2018)
por: Kobak, Dmitry, et al.
Publicado: (2018)
Convergence in quadratic mean of averaged stochastic gradient algorithms without strong convexity nor bounded gradient
por: Godichon-Baggioni, Antoine
Publicado: (2021)
por: Godichon-Baggioni, Antoine
Publicado: (2021)
Graph Matching via convex relaxation to the simplex
por: Valdivia, Ernesto Araya, et al.
Publicado: (2023)
por: Valdivia, Ernesto Araya, et al.
Publicado: (2023)
Quantum information spreading in generalised dual-unitary circuits
por: Foligno, Alessandro, et al.
Publicado: (2023)
por: Foligno, Alessandro, et al.
Publicado: (2023)
Equivalence of optimal transport problems to regularization on the family of f-divergences
por: Nicaise, Maxime, et al.
Publicado: (2026)
por: Nicaise, Maxime, et al.
Publicado: (2026)
Sharp detection of low-dimensional structure in probability measures via dimensional logarithmic Sobolev inequalities
por: Li, Matthew T. C., et al.
Publicado: (2024)
por: Li, Matthew T. C., et al.
Publicado: (2024)
Estimation and inference for minimizer and minimum of convex functions: optimality, adaptivity and uncertainty principles
por: Cai, T. Tony, et al.
Publicado: (2023)
por: Cai, T. Tony, et al.
Publicado: (2023)
Asymptotic properties of adaptive designs through differentiability in quadratic mean
por: Christensen, Dennis, et al.
Publicado: (2023)
por: Christensen, Dennis, et al.
Publicado: (2023)
Quantiles on global non-positive curvature spaces
por: Shin, Ha-Young, et al.
Publicado: (2023)
por: Shin, Ha-Young, et al.
Publicado: (2023)
Convergence rate for Nearest Neighbour matching: geometry of the domain and higher-order regularity
por: Viel, Simon, et al.
Publicado: (2025)
por: Viel, Simon, et al.
Publicado: (2025)
Minimax density estimation in the adversarial framework under local differential privacy
por: Albert, Mélisande, et al.
Publicado: (2024)
por: Albert, Mélisande, et al.
Publicado: (2024)
Ejemplares similares
-
Asymptotic Distribution of Low-Dimensional Patterns Induced by Non-Differentiable Regularizers under General Loss Functions
por: Hejný, Ivan, et al.
Publicado: (2025) -
Identifying Network Hubs with the Partial Correlation Graphical LASSO
por: Bogdan, Małgorzata, et al.
Publicado: (2025) -
Asymptotic Theory for Graphical SLOPE: Precision Estimation and Pattern Convergence
por: Hejný, Ivan, et al.
Publicado: (2026) -
Spatial confounding under infill asymptotics
por: Bolin, David, et al.
Publicado: (2024) -
An explicit link between graphical models and Gaussian Markov random fields on metric graphs
por: Bolin, David, et al.
Publicado: (2025)