Image de couverture de livre

Feature weighting for data analysis via evolutionary simulation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Daniilidis, Aris, Corella, Alberto Domínguez, Wissgott, Philipp
Format:	Preprint
Publié:	2025
Sujets:	Optimization and Control Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Steepest geometric descent for regularized quasiconvex functions
par: Daniilidis, Aris, et autres
Publié: (2023)

Characterizing Maximal Monotone Operators with Unique Representation
par: Armeniakos, Sotiris, et autres
Publié: (2025)

On the geometry of sharp minima
par: Corella, Alberto Domínguez
Publié: (2026)

Task-optimal data-driven surrogate models for eNMPC via differentiable simulation and optimization
par: Mayfrank, Daniel, et autres
Publié: (2024)

Exploiting weight-space symmetries for approximating curvature
par: Artemev, Artem, et autres
Publié: (2026)

Hölder regularity in bang-bang type affine optimal control problems
par: Corella, Alberto Domínguez, et autres
Publié: (2025)

Stability and genericity of bang-bang controls in affine problems
par: Corella, Alberto Domínguez, et autres
Publié: (2023)

Robust and Fast Training via Per-Sample Clipping
par: Nobile, Davide, et autres
Publié: (2026)

A first-order condition for discrete-time distribution steering
par: Corella, Alberto Domínguez, et autres
Publié: (2025)

The maximum principle for discrete-time control systems and applications to dynamic games
par: Corella, Alberto Domínguez, et autres
Publié: (2026)

ABB theorems: Results and limitations in infinite dimensions
par: Daniilidis, Aris, et autres
Publié: (2024)

Regularized Gauss-Newton for Optimizing Overparameterized Neural Networks
par: Adeoye, Adeyemi D., et autres
Publié: (2024)

Enhancing Unsupervised Feature Selection via Double Sparsity Constrained Optimization
par: Xiu, Xianchao, et autres
Publié: (2025)

Which Features are Best for Successor Features?
par: Ollivier, Yann
Publié: (2025)

Conditional simulation via entropic optimal transport: Toward non-parametric estimation of conditional Brenier maps
par: Baptista, Ricardo, et autres
Publié: (2024)

Strong bi-metric regularity in affine optimal control problems
par: Corella, Alberto Domínguez, et autres
Publié: (2025)

On the accuracy of the model predictive control method
par: Angelov, Georgi, et autres
Publié: (2025)

Efficient Sparse PCA via Block-Diagonalization
par: Del Pia, Alberto, et autres
Publié: (2024)

Parametric Nonconvex Optimization via Convex Surrogates
par: Wang, Renzi, et autres
Publié: (2026)

Bi-Sparse Unsupervised Feature Selection
par: Xiu, Xianchao, et autres
Publié: (2024)

Feature-Based Interpretable Surrogates for Optimization
par: Goerigk, Marc, et autres
Publié: (2024)

Convergence rates of stochastic gradient method with independent sequences of step-size and momentum weight
par: Hwang, Wen-Liang
Publié: (2024)

A Compositional Kernel Model for Feature Learning
par: Ruan, Feng, et autres
Publié: (2025)

Supervised Feature Compression based on Counterfactual Analysis
par: Piccialli, Veronica, et autres
Publié: (2022)

Stability analysis of the Navier-Stokes velocity tracking problem with bang-bang controls
par: Corella, Alberto Domínguez, et autres
Publié: (2023)

Feature Augmentation of GNNs for ILPs: Local Uniqueness Suffices
par: Han, Qingyu, et autres
Publié: (2025)

It's All in the Mix: Wasserstein Classification and Regression with Mixed Features
par: Belbasi, Reza, et autres
Publié: (2023)

Random Features Approximation for Control-Affine Systems
par: Kazemian, Kimia, et autres
Publié: (2024)

Gearing Gaussian process modeling and sequential design towards stochastic simulators
par: Binois, Mickael, et autres
Publié: (2024)

Solution stability of parabolic optimal control problems with fixed state-distribution of the controls
par: Corella, Alberto Domínguez, et autres
Publié: (2022)

On The Concurrence of Layer-wise Preconditioning Methods and Provable Feature Learning
par: Zhang, Thomas T., et autres
Publié: (2025)

Enhancing GNNs Performance on Combinatorial Optimization by Recurrent Feature Update
par: Pugacheva, Daria, et autres
Publié: (2024)

Generating Poisoning Attacks against Ridge Regression Models with Categorical Features
par: Guedes-Ayala, Monse, et autres
Publié: (2025)

On the Mechanism and Dynamics of Modular Addition: Fourier Features, Lottery Ticket, and Grokking
par: He, Jianliang, et autres
Publié: (2026)

Guided by the Experts: Provable Feature Learning Dynamic of Soft-Routed Mixture-of-Experts
par: Liao, Fangshuo, et autres
Publié: (2025)

Sarah Frank-Wolfe: Methods for Constrained Optimization with Best Rates and Practical Features
par: Beznosikov, Aleksandr, et autres
Publié: (2023)

Solving Nonlinear Absolute Value Equations
par: Daniilidis, Aris, et autres
Publié: (2024)

An L-BFGS-B approach for linear and nonlinear system identification under $\ell_1$ and group-Lasso regularization
par: Bemporad, Alberto
Publié: (2024)

Investigating the consequences of mechanical ventilation in clinical intensive care settings through an evolutionary game-theoretic framework
par: Albers, David J., et autres
Publié: (2025)

Optimization Landscapes Learned: Proxy Networks Boost Convergence in Physics-based Inverse Problems
par: Goyal, Girnar, et autres
Publié: (2025)