Image de couverture de livre

Robust Sparse Regression with Non-Isotropic Designs

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Liu, Chih-Hung, Novikov, Gleb
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Data Structures and Algorithms
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Nearly Optimal Robust Covariance and Scatter Matrix Estimation Beyond Gaussians
par: Novikov, Gleb
Publié: (2025)

On Purely Private Covariance Estimation
par: d'Orsi, Tommaso, et autres
Publié: (2025)

Tight Differentially Private PCA via Matrix Coherence
par: d'Orsi, Tommaso, et autres
Publié: (2025)

Robust Mixture Learning when Outliers Overwhelm Small Groups
par: Dmitriev, Daniil, et autres
Publié: (2024)

Outlier Robust Multivariate Polynomial Regression
par: Arora, Vipul, et autres
Publié: (2024)

Efficient Algorithms for Verifying Kruskal Rank in Sparse Linear Regression and Related Applications
par: Zhou, Fengqin
Publié: (2025)

SoS Certificates for Sparse Singular Values and Their Applications: Robust Statistics, Subspace Distortion, and More
par: Diakonikolas, Ilias, et autres
Publié: (2024)

Improved Robust Estimation for Erdős-Rényi Graphs: The Sparse Regime and Optimal Breakdown Point
par: Chen, Hongjie, et autres
Publié: (2025)

Sparse Linear Regression is Easy on Random Supports
par: Chandrasekaran, Gautam, et autres
Publié: (2025)

Super Non-singular Decompositions of Polynomials and their Application to Robustly Learning Low-degree PTFs
par: Diakonikolas, Ilias, et autres
Publié: (2024)

Deletion Robust Non-Monotone Submodular Maximization over Matroids
par: Dütting, Paul, et autres
Publié: (2022)

A Characterization of List Regression
par: Pabbaraju, Chirag, et autres
Publié: (2024)

Value-Compressed Sparse Column (VCSC): Sparse Matrix Storage for Redundant Data
par: Ruiter, Skyler, et autres
Publié: (2023)

Coresets for Multiple $\ell_p$ Regression
par: Woodruff, David P., et autres
Publié: (2024)

Transductive and Learning-Augmented Online Regression
par: Raman, Vinod, et autres
Publié: (2025)

Near-optimal Active Regression of Single-Index Models
par: Li, Yi, et autres
Publié: (2025)

A Provably Accurate Randomized Sampling Algorithm for Logistic Regression
par: Chowdhury, Agniva, et autres
Publié: (2024)

On the Complexity of Learning Sparse Functions with Statistical and Gradient Queries
par: Joshi, Nirmit, et autres
Publié: (2024)

Beyond Worst-Case Dimensionality Reduction for Sparse Vectors
par: Silwal, Sandeep, et autres
Publié: (2025)

Robust Sparse Mean Estimation via Sum of Squares
par: Diakonikolas, Ilias, et autres
Publié: (2022)

Query-decision Regression between Shortest Path and Minimum Steiner Tree
par: Tong, Guangmo, et autres
Publié: (2024)

A Simple Sparse Matrix Vector Multiplication Approach to Padded Convolution
par: Chaudhry, Zan
Publié: (2024)

Faster Low-Rank Approximation and Kernel Ridge Regression via the Block-Nyström Method
par: Garg, Sachin, et autres
Publié: (2025)

Robust Regression with Adaptive Contamination in Response: Optimal Rates and Computational Barriers
par: Diakonikolas, Ilias, et autres
Publié: (2026)

Learning Mixture Models via Efficient High-dimensional Sparse Fourier Transforms
par: Kalavasis, Alkis, et autres
Publié: (2026)

A Sub-Quadratic Time Algorithm for Robust Sparse Mean Estimation
par: Pensia, Ankit
Publié: (2024)

Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination
par: Diakonikolas, Ilias, et autres
Publié: (2024)

Private graphon estimation via sum-of-squares
par: Chen, Hongjie, et autres
Publié: (2024)

Robust Learning-Augmented Dictionaries
par: Zeynali, Ali, et autres
Publié: (2024)

Robust Learning with Optimal Error
par: Blanc, Guy
Publié: (2026)

Clustering with Non-adaptive Subset Queries
par: Black, Hadley, et autres
Publié: (2024)

Deletion Robust Submodular Maximization over Matroids
par: Dütting, Paul, et autres
Publié: (2022)

Towards Optimal Robustness in Learning-Augmented Paging
par: Chen, Peng, et autres
Publié: (2026)

Robust learning of halfspaces under log-concave marginals
par: Lange, Jane, et autres
Publié: (2025)

Approximation Algorithms for D-optimal Design
par: Singh, Mohit, et autres
Publié: (2018)

Practical Parallel Algorithms for Non-Monotone Submodular Maximization
par: Cui, Shuang, et autres
Publié: (2023)

Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms
par: Lechowicz, Adam, et autres
Publié: (2023)

Simple KNN-Based Outlier Detection Achieves Robust Clustering
par: Jiang, Tianle, et autres
Publié: (2026)

Prediction-Specific Design of Learning-Augmented Algorithms
par: Li, Sizhe, et autres
Publié: (2025)

Fully Dynamic Adversarially Robust Correlation Clustering in Polylogarithmic Update Time
par: Braverman, Vladimir, et autres
Publié: (2024)