Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Shuyao, Karmalkar, Sushrut, Diakonikolas, Ilias, Diakonikolas, Jelena |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Robust Learning of a Group DRO Neuron
by: Cao, Guyang, et al.
Published: (2026)
by: Cao, Guyang, et al.
Published: (2026)
Distributionally Robust Optimization with Adversarial Data Contamination
by: Li, Shuyao, et al.
Published: (2025)
by: Li, Shuyao, et al.
Published: (2025)
Robustly Learning Single-Index Models via Alignment Sharpness
by: Zarifis, Nikos, et al.
Published: (2024)
by: Zarifis, Nikos, et al.
Published: (2024)
Robust Second-Order Nonconvex Optimization and Its Application to Low Rank Matrix Sensing
by: Li, Shuyao, et al.
Published: (2024)
by: Li, Shuyao, et al.
Published: (2024)
Optimization on a Finer Scale: Bounded Local Subgradient Variation Perspective
by: Diakonikolas, Jelena, et al.
Published: (2024)
by: Diakonikolas, Jelena, et al.
Published: (2024)
First Order Stochastic Optimization with Oblivious Noise
by: Diakonikolas, Ilias, et al.
Published: (2024)
by: Diakonikolas, Ilias, et al.
Published: (2024)
Robust Sparse Mean Estimation via Sum of Squares
by: Diakonikolas, Ilias, et al.
Published: (2022)
by: Diakonikolas, Ilias, et al.
Published: (2022)
Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination
by: Diakonikolas, Ilias, et al.
Published: (2024)
by: Diakonikolas, Ilias, et al.
Published: (2024)
Efficient Testable Learning of General Halfspaces with Adversarial Label Noise
by: Diakonikolas, Ilias, et al.
Published: (2024)
by: Diakonikolas, Ilias, et al.
Published: (2024)
Batch List-Decodable Linear Regression via Higher Moments
by: Diakonikolas, Ilias, et al.
Published: (2025)
by: Diakonikolas, Ilias, et al.
Published: (2025)
List-Decodable Sparse Mean Estimation via Difference-of-Pairs Filtering
by: Diakonikolas, Ilias, et al.
Published: (2022)
by: Diakonikolas, Ilias, et al.
Published: (2022)
On Learning Parallel Pancakes with Mostly Uniform Weights
by: Diakonikolas, Ilias, et al.
Published: (2025)
by: Diakonikolas, Ilias, et al.
Published: (2025)
A Near-optimal Algorithm for Learning Margin Halfspaces with Massart Noise
by: Diakonikolas, Ilias, et al.
Published: (2025)
by: Diakonikolas, Ilias, et al.
Published: (2025)
Near-Linear Runtime for a Classical Matrix Preconditioning Algorithm
by: Cai, Xufeng, et al.
Published: (2025)
by: Cai, Xufeng, et al.
Published: (2025)
Robustly Learning Monotone Single-Index Models
by: Wang, Puqian, et al.
Published: (2025)
by: Wang, Puqian, et al.
Published: (2025)
Statistical Query Lower Bounds for Smoothed Agnostic Learning
by: Diakonikolas, Ilias, et al.
Published: (2026)
by: Diakonikolas, Ilias, et al.
Published: (2026)
Testable Learning of General Halfspaces under Massart Noise
by: Diakonikolas, Ilias, et al.
Published: (2026)
by: Diakonikolas, Ilias, et al.
Published: (2026)
Reliable Learning of Halfspaces under Gaussian Marginals
by: Diakonikolas, Ilias, et al.
Published: (2024)
by: Diakonikolas, Ilias, et al.
Published: (2024)
Learning Intersections of Two Margin Halfspaces under Factorizable Distributions
by: Diakonikolas, Ilias, et al.
Published: (2025)
by: Diakonikolas, Ilias, et al.
Published: (2025)
Online Learning of Halfspaces with Massart Noise
by: Diakonikolas, Ilias, et al.
Published: (2024)
by: Diakonikolas, Ilias, et al.
Published: (2024)
Linear Regression under Missing or Corrupted Coordinates
by: Diakonikolas, Ilias, et al.
Published: (2025)
by: Diakonikolas, Ilias, et al.
Published: (2025)
Faster Algorithms for Agnostically Learning Disjunctions and their Implications
by: Diakonikolas, Ilias, et al.
Published: (2025)
by: Diakonikolas, Ilias, et al.
Published: (2025)
Implicit High-Order Moment Tensor Estimation and Learning Latent Variable Models
by: Diakonikolas, Ilias, et al.
Published: (2024)
by: Diakonikolas, Ilias, et al.
Published: (2024)
Sample Complexity Bounds for Robust Mean Estimation with Mean-Shift Contamination
by: Diakonikolas, Ilias, et al.
Published: (2026)
by: Diakonikolas, Ilias, et al.
Published: (2026)
Efficient Multivariate Robust Mean Estimation Under Mean-Shift Contamination
by: Diakonikolas, Ilias, et al.
Published: (2025)
by: Diakonikolas, Ilias, et al.
Published: (2025)
Algorithms and SQ Lower Bounds for Robustly Learning Real-valued Multi-index Models
by: Diakonikolas, Ilias, et al.
Published: (2025)
by: Diakonikolas, Ilias, et al.
Published: (2025)
SoS Certificates for Sparse Singular Values and Their Applications: Robust Statistics, Subspace Distortion, and More
by: Diakonikolas, Ilias, et al.
Published: (2024)
by: Diakonikolas, Ilias, et al.
Published: (2024)
Super Non-singular Decompositions of Polynomials and their Application to Robustly Learning Low-degree PTFs
by: Diakonikolas, Ilias, et al.
Published: (2024)
by: Diakonikolas, Ilias, et al.
Published: (2024)
Robustly Learning Monotone Generalized Linear Models via Data Augmentation
by: Zarifis, Nikos, et al.
Published: (2025)
by: Zarifis, Nikos, et al.
Published: (2025)
Robust Learning of Multi-index Models via Iterative Subspace Approximation
by: Diakonikolas, Ilias, et al.
Published: (2025)
by: Diakonikolas, Ilias, et al.
Published: (2025)
SoS Certifiability of Subgaussian Distributions and its Algorithmic Applications
by: Diakonikolas, Ilias, et al.
Published: (2024)
by: Diakonikolas, Ilias, et al.
Published: (2024)
High-Dimensional Gaussian Mean Estimation under Realizable Contamination
by: Diakonikolas, Ilias, et al.
Published: (2026)
by: Diakonikolas, Ilias, et al.
Published: (2026)
Non-Stationary Online Resource Allocation: Learning from a Single Sample
by: Feng, Yiding, et al.
Published: (2026)
by: Feng, Yiding, et al.
Published: (2026)
Noise Stability Optimization for Finding Flat Minima: A Hessian-based Regularization Approach
by: Zhang, Hongyang R., et al.
Published: (2023)
by: Zhang, Hongyang R., et al.
Published: (2023)
Optimal Bounds for Adversarial Constrained Online Convex Optimization
by: Ferreira, Ricardo N., et al.
Published: (2025)
by: Ferreira, Ricardo N., et al.
Published: (2025)
Statistical Query Lower Bounds for Learning Truncated Gaussians
by: Diakonikolas, Ilias, et al.
Published: (2024)
by: Diakonikolas, Ilias, et al.
Published: (2024)
SQ Lower Bounds for Non-Gaussian Component Analysis with Weaker Assumptions
by: Diakonikolas, Ilias, et al.
Published: (2024)
by: Diakonikolas, Ilias, et al.
Published: (2024)
Omnipredicting Single-Index Models with Multi-Index Models
by: Hu, Lunjia, et al.
Published: (2024)
by: Hu, Lunjia, et al.
Published: (2024)
Robust Regression with Adaptive Contamination in Response: Optimal Rates and Computational Barriers
by: Diakonikolas, Ilias, et al.
Published: (2026)
by: Diakonikolas, Ilias, et al.
Published: (2026)
Online Convex Optimization with Switching Cost with Only One Single Gradient Evaluation
by: Shah, Harsh, et al.
Published: (2025)
by: Shah, Harsh, et al.
Published: (2025)
Similar Items
-
Robust Learning of a Group DRO Neuron
by: Cao, Guyang, et al.
Published: (2026) -
Distributionally Robust Optimization with Adversarial Data Contamination
by: Li, Shuyao, et al.
Published: (2025) -
Robustly Learning Single-Index Models via Alignment Sharpness
by: Zarifis, Nikos, et al.
Published: (2024) -
Robust Second-Order Nonconvex Optimization and Its Application to Low Rank Matrix Sensing
by: Li, Shuyao, et al.
Published: (2024) -
Optimization on a Finer Scale: Bounded Local Subgradient Variation Perspective
by: Diakonikolas, Jelena, et al.
Published: (2024)