SoS Certifiability of Subgaussian Distributions and its Algorithmic Applications
Fuente:
arXiv
Saved in:
| Main Authors: | Diakonikolas, Ilias, Hopkins, Samuel B., Pensia, Ankit, Tiegel, Stefan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
A Sub-Quadratic Time Algorithm for Robust Sparse Mean Estimation
by: Pensia, Ankit
Published: (2024)
by: Pensia, Ankit
Published: (2024)
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)
Information-Computation Tradeoffs for Noiseless Linear Regression with Oblivious Contamination
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)
Robust Sparse Mean Estimation via Sum of Squares
by: Diakonikolas, Ilias, et al.
Published: (2022)
by: Diakonikolas, Ilias, et al.
Published: (2022)
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)
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)
Optimal Robust Estimation under Local and Global Corruptions: Stronger Adversary and Smaller Error
by: Pittas, Thanasis, et al.
Published: (2024)
by: Pittas, Thanasis, et al.
Published: (2024)
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)
High-Dimensional Gaussian Mean Estimation under Realizable Contamination
by: Diakonikolas, Ilias, et al.
Published: (2026)
by: Diakonikolas, Ilias, et al.
Published: (2026)
High-dimensional estimation with missing data: Statistical and computational limits
by: Verchand, Kabir Aladin, et al.
Published: (2026)
by: Verchand, Kabir Aladin, et al.
Published: (2026)
Linear Regression under Missing or Corrupted Coordinates
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)
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)
Robustly Learning Single-Index Models via Alignment Sharpness
by: Zarifis, Nikos, et al.
Published: (2024)
by: Zarifis, Nikos, et al.
Published: (2024)
Statistical Query Lower Bounds for Learning Truncated Gaussians
by: Diakonikolas, Ilias, et al.
Published: (2024)
by: Diakonikolas, Ilias, et al.
Published: (2024)
Robust Learning of Multi-index Models via Iterative Subspace Approximation
by: Diakonikolas, Ilias, et al.
Published: (2025)
by: Diakonikolas, Ilias, et al.
Published: (2025)
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)
Entangled Mean Estimation in High-Dimensions
by: Diakonikolas, Ilias, et al.
Published: (2025)
by: Diakonikolas, Ilias, et al.
Published: (2025)
Batch List-Decodable Linear Regression via Higher Moments
by: Diakonikolas, Ilias, et al.
Published: (2025)
by: Diakonikolas, Ilias, et al.
Published: (2025)
PTF Testing Lower Bounds for Non-Gaussian Component Analysis
by: Diakonikolas, Ilias, et al.
Published: (2025)
by: Diakonikolas, Ilias, et al.
Published: (2025)
On Learning Parallel Pancakes with Mostly Uniform Weights
by: Diakonikolas, Ilias, et al.
Published: (2025)
by: Diakonikolas, Ilias, et al.
Published: (2025)
Adversarially-Robust Inference on Trees via Belief Propagation
by: Hopkins, Samuel B., et al.
Published: (2024)
by: Hopkins, Samuel B., et al.
Published: (2024)
Distributionally Robust Optimization with Adversarial Data Contamination
by: Li, Shuyao, et al.
Published: (2025)
by: Li, Shuyao, et al.
Published: (2025)
Transfer Learning Beyond Bounded Density Ratios
by: Kalavasis, Alkis, et al.
Published: (2024)
by: Kalavasis, Alkis, et al.
Published: (2024)
Almost-Optimal Local-Search Methods for Sparse Tensor PCA
by: Lovig, Max, et al.
Published: (2025)
by: Lovig, Max, 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)
Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise
by: Li, Shuyao, et al.
Published: (2024)
by: Li, Shuyao, et al.
Published: (2024)
Statistical Query Lower Bounds for Smoothed Agnostic Learning
by: Diakonikolas, Ilias, et al.
Published: (2026)
by: Diakonikolas, Ilias, et al.
Published: (2026)
Learning Intersections of Two Margin Halfspaces under Factorizable Distributions
by: Diakonikolas, Ilias, et al.
Published: (2025)
by: Diakonikolas, Ilias, et al.
Published: (2025)
Sample-Optimal Private Regression in Polynomial Time
by: Anderson, Prashanti, et al.
Published: (2025)
by: Anderson, Prashanti, 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)
In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies
by: Kook, Yunbum, et al.
Published: (2024)
by: Kook, Yunbum, et al.
Published: (2024)
Sampling and Integration of Logconcave Functions by Algorithmic Diffusion
by: Kook, Yunbum, et al.
Published: (2024)
by: Kook, Yunbum, et al.
Published: (2024)
Reliable Learning of Halfspaces under Gaussian Marginals
by: Diakonikolas, Ilias, et al.
Published: (2024)
by: Diakonikolas, Ilias, et al.
Published: (2024)
DDPM Score Matching and Distribution Learning
by: Chewi, Sinho, et al.
Published: (2025)
by: Chewi, Sinho, et al.
Published: (2025)
Mean Estimation from Coarse Data: Characterizations and Efficient Algorithms
by: Kalavasis, Alkis, et al.
Published: (2026)
by: Kalavasis, Alkis, et al.
Published: (2026)
A Framework for Searching in Graphs in the Presence of Errors
by: Dereniowski, Dariusz, et al.
Published: (2018)
by: Dereniowski, Dariusz, et al.
Published: (2018)
Similar Items
-
SoS Certificates for Sparse Singular Values and Their Applications: Robust Statistics, Subspace Distortion, and More
by: Diakonikolas, Ilias, et al.
Published: (2024) -
A Sub-Quadratic Time Algorithm for Robust Sparse Mean Estimation
by: Pensia, Ankit
Published: (2024) -
Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination
by: Diakonikolas, Ilias, et al.
Published: (2024) -
Information-Computation Tradeoffs for Noiseless Linear Regression with Oblivious Contamination
by: Diakonikolas, Ilias, et al.
Published: (2025) -
List-Decodable Sparse Mean Estimation via Difference-of-Pairs Filtering
by: Diakonikolas, Ilias, et al.
Published: (2022)