Cover Image

Semidefinite programming relaxations and debiasing for MAXCUT-based clustering

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Zhou, Shuheng
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Semidefinite programming on population clustering: a local analysis
by: Zhou, Shuheng
Published: (2023)

Semiparametric inference for impulse response functions using double/debiased machine learning
by: Ballinari, Daniele, et al.
Published: (2024)

Adaptive debiased machine learning using data-driven model selection techniques
by: van der Laan, Lars, et al.
Published: (2023)

A variational Bayes approach to debiased inference for low-dimensional parameters in high-dimensional linear regression
by: Castillo, Ismaël, et al.
Published: (2024)

Graph Matching via convex relaxation to the simplex
by: Valdivia, Ernesto Araya, et al.
Published: (2023)

Generalization error bound for denoising score matching under relaxed manifold assumption
by: Yakovlev, Konstantin, et al.
Published: (2025)

Network Learning with Semi-relaxed Gromov-Wasserstein
by: Dufour, Charles, et al.
Published: (2026)

Local versions of sum-of-norms clustering
by: Dunlap, Alexander, et al.
Published: (2021)

Mixture of multilayer stochastic block models for multiview clustering
by: De Santiago, Kylliann, et al.
Published: (2024)

Sum-of-norms clustering does not separate nearby balls
by: Dunlap, Alexander, et al.
Published: (2021)

Thresholded Lasso for high dimensional variable selection
by: Zhou, Shuheng
Published: (2023)

The generalized underlap coefficient with an application in clustering
by: Zhang, Zhaoxi, et al.
Published: (2026)

Low-degree Lower bounds for clustering in moderate dimension
by: Carpentier, Alexandra, et al.
Published: (2026)

Small Ensemble-based Data Assimilation: A Machine Learning-Enhanced Data Assimilation Method with Limited Ensemble Size
by: Li, Zhilin, et al.
Published: (2025)

Ratio-based Loss Functions
by: Helgerth, Lena, et al.
Published: (2026)

Wasserstein Transfer Learning
by: Zhang, Kaicheng, et al.
Published: (2025)

Finite sample rates of convergence for the Bigraphical and Tensor graphical Lasso estimators
by: Zhou, Shuheng, et al.
Published: (2023)

Binary Expansion Group Intersection Network
by: Zhou, Sicheng, et al.
Published: (2026)

Multi-category Angle-based Classifier Refit
by: Yau, Guo Xian, et al.
Published: (2016)

An analysis of the noise schedule for score-based generative models
by: Strasman, Stanislas, et al.
Published: (2024)

Component-based Sketching for Deep ReLU Nets
by: Wang, Di, et al.
Published: (2024)

Nonparametric regression using over-parameterized shallow ReLU neural networks
by: Yang, Yunfei, et al.
Published: (2023)

Kernel-based Optimally Weighted Conformal Time-Series Prediction
by: Lee, Jonghyeok, et al.
Published: (2024)

CHANI: Correlation-based Hawkes Aggregation of Neurons with bio-Inspiration
by: Jaffard, Sophie, et al.
Published: (2024)

Flow-based generative models as iterative algorithms in probability space
by: Xie, Yao, et al.
Published: (2025)

Score-based generative models are provably robust: an uncertainty quantification perspective
by: Mimikos-Stamatopoulos, Nikiforos, et al.
Published: (2024)

Semi-supervised Fréchet Regression
by: Qiu, Rui, et al.
Published: (2024)

Generalizing while preserving monotonicity in comparison-based preference learning models
by: Fageot, Julien, et al.
Published: (2025)

Kernel Debiased Plug-in Estimation based on the Universal Least Favorable Submodel
by: Chen, Haiyi, et al.
Published: (2026)

Hierarchical Contrastive Learning for Multimodal Data
by: Li, Huichao, et al.
Published: (2026)

Optimal Convergence Analysis of DDPM for General Distributions
by: Jiao, Yuchen, et al.
Published: (2025)

When Does Model Collapse Occur in Structured Interactive Learning?
by: Wu, Yuchen, et al.
Published: (2026)

Active Learning for Regression based on Wasserstein distance and GroupSort Neural Networks
by: Bobbia, Benjamin, et al.
Published: (2024)

The $φ$ Curve: The Shape of Generalization through the Lens of Norm-based Capacity Control
by: Wang, Yichen, et al.
Published: (2025)

On the rates of convergence for learning with convolutional neural networks
by: Yang, Yunfei, et al.
Published: (2024)

ScoreFusion: Fusing Score-based Generative Models via Kullback-Leibler Barycenters
by: Liu, Hao, et al.
Published: (2024)

A fast score-based search algorithm for maximal ancestral graphs using entropy
by: Hu, Zhongyi, et al.
Published: (2024)

Convergence of the Inexact Langevin Algorithm in KL Divergence with Application to Score-based Generative Models
by: Yang, Kaylee Yingxi, et al.
Published: (2022)

Score-based sampling without diffusions: Guidance from a simple and modular scheme
by: Wainwright, M. J.
Published: (2025)

Multi-Environment GLAMP: Approximate Message Passing for Transfer Learning with Applications to Lasso-based Estimators
by: Wang, Longlin, et al.
Published: (2025)