Cover Image

Attention-based PCA

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Maulen-Soto, Rodrigo, Boyer, Claire
Format:	Preprint
Published:	2026
Subjects:	Optimization and Control Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Attention-based clustering
by: Maulen-Soto, Rodrigo, et al.
Published: (2025)

A Randomized Algorithm for Sparse PCA based on the Basic SDP Relaxation
by: Del Pia, Alberto, et al.
Published: (2025)

Rethinking PCA Through Duality
by: Quan, Jan, et al.
Published: (2025)

Efficient Sparse PCA via Block-Diagonalization
by: Del Pia, Alberto, et al.
Published: (2024)

Federated Structured Sparse PCA for Anomaly Detection in IoT Networks
by: Huang, Chenyi, et al.
Published: (2025)

Prescriptive PCA: Dimensionality Reduction for Two-stage Stochastic Optimization
by: He, Long, et al.
Published: (2023)

An SDE perspective on stochastic convex optimization
by: Maulen-Soto, Rodrigo, et al.
Published: (2022)

Tuning-Free Structured Sparse PCA via Deep Unfolding Networks
by: Chen, Long, et al.
Published: (2025)

Incremental Learning of Sparse Attention Patterns in Transformers
by: Yüksel, Oğuz Kaan, et al.
Published: (2026)

Sparse PCA With Multiple Components
by: Cory-Wright, Ryan, et al.
Published: (2022)

Hidden Convexity of Fair PCA and Fast Solver via Eigenvalue Optimization
by: Shen, Junhui, et al.
Published: (2025)

Combinatorial Sparse PCA Beyond the Spiked Identity Model
by: Kumar, Syamantak, et al.
Published: (2026)

StablePCA: Distributionally Robust Learning of Shared Representations from Multi-Source Data
by: Wang, Zhenyu, et al.
Published: (2025)

On the Optimization and Generalization of Multi-head Attention
by: Deora, Puneesh, et al.
Published: (2023)

A Pontryagin Perspective on Reinforcement Learning
by: Eberhard, Onno, et al.
Published: (2024)

sparseGeoHOPCA: A Geometric Solution to Sparse Higher-Order PCA Without Covariance Estimation
by: Xu, Renjie, et al.
Published: (2025)

Accelerating Regularized Attention Kernel Regression for Spectrum Cartography
by: Tao, Liping, et al.
Published: (2026)

Attention is All You Need to Optimize Wind Farm Operations and Maintenance
by: Kazemian, Iman, et al.
Published: (2024)

Shallow Neural Networks Learn Low-Degree Spherical Polynomials with Feature Learning by Learnable Channel Attention
by: Yang, Yingzhen
Published: (2025)

Recursively Feasible Probabilistic Safe Online Learning with Control Barrier Functions
by: Castañeda, Fernando, et al.
Published: (2022)

Safe learning-based control via function-based uncertainty quantification
by: Tokmak, Abdullah, et al.
Published: (2026)

Residuals-based Offline Reinforcement Learning
by: Zhu, Qing, et al.
Published: (2026)

Supervised Feature Compression based on Counterfactual Analysis
by: Piccialli, Veronica, et al.
Published: (2022)

Design and Scheduling of an AI-based Queueing System
by: Lee, Jiung, et al.
Published: (2024)

On Penalty-based Bilevel Gradient Descent Method
by: Shen, Han, et al.
Published: (2023)

Convergence of empirical subgradients for optimal transport-based objectives
by: Le, Tam
Published: (2026)

Bayesian Optimization by Kernel Regression and Density-based Exploration
by: Zhu, Tansheng, et al.
Published: (2025)

Developing Lagrangian-based Methods for Nonsmooth Nonconvex Optimization
by: Xiao, Nachuan, et al.
Published: (2024)

Wasserstein Barycenter Gaussian Process based Bayesian Optimization
by: Candelieri, Antonio, et al.
Published: (2025)

Learning based convex approximation for constrained parametric optimization
by: Liu, Kang, et al.
Published: (2025)

Reheated Gradient-based Discrete Sampling for Combinatorial Optimization
by: Li, Muheng, et al.
Published: (2025)

Improved Analysis for Sign-based Methods with Momentum Updates
by: Jiang, Wei, et al.
Published: (2025)

Novel clustered federated learning based on local loss
by: Gu, Endong, et al.
Published: (2024)

Chordal Sparsity for SDP-based Neural Network Verification
by: Xue, Anton, et al.
Published: (2022)

An optimal control perspective on diffusion-based generative modeling
by: Berner, Julius, et al.
Published: (2022)

Surrogate-based Optimization via Clustering for Box-Constrained Problems
by: Ahmad, Maaz, et al.
Published: (2026)

Better LMO-based Momentum Methods with Second-Order Information
by: Khirirat, Sarit, et al.
Published: (2025)

Sampling-based Safe Reinforcement Learning for Nonlinear Dynamical Systems
by: Suttle, Wesley A., et al.
Published: (2024)

Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF
by: Shen, Han, et al.
Published: (2024)

Scalarisation-based risk concepts for robust multi-objective optimisation
by: Tu, Ben, et al.
Published: (2024)