Easy, robust approximate message passing for planted spike models
Fuente:
arXiv
Saved in:
| Main Authors: | Ivkov, Misha, Schramm, Tselil |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fast, robust approximate message passing
by: Ivkov, Misha, et al.
Published: (2024)
by: Ivkov, Misha, et al.
Published: (2024)
Spectral clustering in the Gaussian mixture block model
by: Li, Shuangping, et al.
Published: (2023)
by: Li, Shuangping, et al.
Published: (2023)
Robust random graph matching in Gaussian models via vector approximate message passing
by: Li, Zhangsong
Published: (2024)
by: Li, Zhangsong
Published: (2024)
Sparse Linear Regression is Easy on Random Supports
by: Chandrasekaran, Gautam, et al.
Published: (2025)
by: Chandrasekaran, Gautam, et al.
Published: (2025)
Correlation detection in trees for planted graph alignment
by: Ganassali, Luca, et al.
Published: (2021)
by: Ganassali, Luca, et al.
Published: (2021)
A Note on Non-Negative $L_1$-Approximating Polynomials
by: Lee, Jane H., et al.
Published: (2026)
by: Lee, Jane H., et al.
Published: (2026)
Linear Regression with Unknown Truncation Beyond Gaussian Features
by: Kouridakis, Alexandros, et al.
Published: (2026)
by: Kouridakis, Alexandros, et al.
Published: (2026)
Complexity of Non-Log-Concave Sampling in Fisher Information
by: Chewi, Sinho, et al.
Published: (2026)
by: Chewi, Sinho, et al.
Published: (2026)
A proximal gradient algorithm for composite log-concave sampling
by: Liu, Linghai, et al.
Published: (2026)
by: Liu, Linghai, et al.
Published: (2026)
Mean Estimation from Coarse Data: Characterizations and Efficient Algorithms
by: Kalavasis, Alkis, et al.
Published: (2026)
by: Kalavasis, Alkis, et al.
Published: (2026)
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)
Learning Multinomial Logits in $O(n \log n)$ time
by: Chierichetti, Flavio, et al.
Published: (2026)
by: Chierichetti, Flavio, 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)
High-Dimensional Gaussian Mean Estimation under Realizable Contamination
by: Diakonikolas, Ilias, et al.
Published: (2026)
by: Diakonikolas, Ilias, et al.
Published: (2026)
PAC Learning with Bandit Feedback: Sharp Sample Complexity in the Realizable Setting
by: Hanneke, Steve, et al.
Published: (2026)
by: Hanneke, Steve, et al.
Published: (2026)
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)
The Geometry of Efficient Nonconvex Sampling
by: Vempala, Santosh S., et al.
Published: (2026)
by: Vempala, Santosh S., et al.
Published: (2026)
Rényi-infinity constrained sampling with $d^3$ membership queries
by: Kook, Yunbum, et al.
Published: (2024)
by: Kook, Yunbum, et al.
Published: (2024)
Is Transductive Learning Equivalent to PAC Learning?
by: Dughmi, Shaddin, et al.
Published: (2024)
by: Dughmi, Shaddin, 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)
In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies
by: Kook, Yunbum, et al.
Published: (2024)
by: Kook, Yunbum, 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)
Sampling and Integration of Logconcave Functions by Algorithmic Diffusion
by: Kook, Yunbum, et al.
Published: (2024)
by: Kook, Yunbum, et al.
Published: (2024)
Fast Tensor Completion via Approximate Richardson Iteration
by: Ghadiri, Mehrdad, et al.
Published: (2025)
by: Ghadiri, Mehrdad, et al.
Published: (2025)
Information-Computation Tradeoffs for Noiseless Linear Regression with Oblivious Contamination
by: Diakonikolas, Ilias, et al.
Published: (2025)
by: Diakonikolas, Ilias, et al.
Published: (2025)
A Sub-Quadratic Time Algorithm for Robust Sparse Mean Estimation
by: Pensia, Ankit
Published: (2024)
by: Pensia, Ankit
Published: (2024)
One-Shot Learning for k-SAT
by: Galanis, Andreas, et al.
Published: (2025)
by: Galanis, Andreas, et al.
Published: (2025)
Simple and Nearly-Optimal Sampling for Rank-1 Tensor Completion via Gauss-Jordan
by: Gomez-Leos, Alejandro, et al.
Published: (2024)
by: Gomez-Leos, Alejandro, et al.
Published: (2024)
Covariance estimation using Markov chain Monte Carlo
by: Kook, Yunbum, et al.
Published: (2024)
by: Kook, Yunbum, et al.
Published: (2024)
SoS Certifiability of Subgaussian Distributions and its Algorithmic Applications
by: Diakonikolas, Ilias, et al.
Published: (2024)
by: Diakonikolas, Ilias, et al.
Published: (2024)
List-Decodable Sparse Mean Estimation via Difference-of-Pairs Filtering
by: Diakonikolas, Ilias, et al.
Published: (2022)
by: Diakonikolas, Ilias, et al.
Published: (2022)
Revisiting Agnostic PAC Learning
by: Hanneke, Steve, et al.
Published: (2024)
by: Hanneke, Steve, 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)
Smoothed Analysis of Learning from Positive Samples
by: Lee, Jane H., et al.
Published: (2025)
by: Lee, Jane H., 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)
Sample-Efficient Private Learning of Mixtures of Gaussians
by: Ashtiani, Hassan, et al.
Published: (2024)
by: Ashtiani, Hassan, et al.
Published: (2024)
A mixing time bound for Gibbs sampling from log-smooth log-concave distributions
by: Wadia, Neha S.
Published: (2024)
by: Wadia, Neha S.
Published: (2024)
Improved Margin Generalization Bounds for Voting Classifiers
by: Høgsgaard, Mikael Møller, et al.
Published: (2025)
by: Høgsgaard, Mikael Møller, et al.
Published: (2025)
Nearly Optimal Robust Covariance and Scatter Matrix Estimation Beyond Gaussians
by: Novikov, Gleb
Published: (2025)
by: Novikov, Gleb
Published: (2025)
Similar Items
-
Fast, robust approximate message passing
by: Ivkov, Misha, et al.
Published: (2024) -
Spectral clustering in the Gaussian mixture block model
by: Li, Shuangping, et al.
Published: (2023) -
Robust random graph matching in Gaussian models via vector approximate message passing
by: Li, Zhangsong
Published: (2024) -
Sparse Linear Regression is Easy on Random Supports
by: Chandrasekaran, Gautam, et al.
Published: (2025) -
Correlation detection in trees for planted graph alignment
by: Ganassali, Luca, et al.
Published: (2021)