:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Ollivier, Yann
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Optimization and Control
Online Access:	https://arxiv.org/abs/2502.10790
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sarah Frank-Wolfe: Methods for Constrained Optimization with Best Rates and Practical Features
by: Beznosikov, Aleksandr, et al.
Published: (2023)

Bayesian Optimisation: Which Constraints Matter?
by: Lin, Xietao Wang, et al.
Published: (2025)

Bi-Sparse Unsupervised Feature Selection
by: Xiu, Xianchao, et al.
Published: (2024)

Feature-Based Interpretable Surrogates for Optimization
by: Goerigk, Marc, et al.
Published: (2024)

Random Features Approximation for Control-Affine Systems
by: Kazemian, Kimia, et al.
Published: (2024)

A Compositional Kernel Model for Feature Learning
by: Ruan, Feng, et al.
Published: (2025)

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

Feature Augmentation of GNNs for ILPs: Local Uniqueness Suffices
by: Han, Qingyu, et al.
Published: (2025)

Feature weighting for data analysis via evolutionary simulation
by: Daniilidis, Aris, et al.
Published: (2025)

It's All in the Mix: Wasserstein Classification and Regression with Mixed Features
by: Belbasi, Reza, et al.
Published: (2023)

On The Concurrence of Layer-wise Preconditioning Methods and Provable Feature Learning
by: Zhang, Thomas T., et al.
Published: (2025)

Enhancing GNNs Performance on Combinatorial Optimization by Recurrent Feature Update
by: Pugacheva, Daria, et al.
Published: (2024)

Generating Poisoning Attacks against Ridge Regression Models with Categorical Features
by: Guedes-Ayala, Monse, et al.
Published: (2025)

Enhancing Unsupervised Feature Selection via Double Sparsity Constrained Optimization
by: Xiu, Xianchao, et al.
Published: (2025)

On the Mechanism and Dynamics of Modular Addition: Fourier Features, Lottery Ticket, and Grokking
by: He, Jianliang, et al.
Published: (2026)

Guided by the Experts: Provable Feature Learning Dynamic of Soft-Routed Mixture-of-Experts
by: Liao, Fangshuo, et al.
Published: (2025)

Symmetrizing Bregman Divergence on the Cone of Positive Definite Matrices: Which Mean to Use and Why
by: Sial, Tushar, et al.
Published: (2026)

Best Arm Identification with LLM Judges and Limited Human
by: Ao, Ruicheng, et al.
Published: (2026)

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

Over-parameterised Shallow Neural Networks with Asymmetrical Node Scaling: Global Convergence Guarantees and Feature Learning
by: Caron, Francois, et al.
Published: (2023)

Gap Safe Screening Rules for Fast Training of Robust Support Vector Machines under Feature Noise
by: Nguyen, Tan-Hau, et al.
Published: (2026)

A Theory of Feature Learning in Kernel Models
by: Chen, Yunlu, et al.
Published: (2023)

Feature Starvation as Geometric Instability in Sparse Autoencoders
by: Chaudhry, Faris, et al.
Published: (2026)

A Best-of-Both-Worlds Proof for Tsallis-INF without Fenchel Conjugates
by: Lee, Wei-Cheng, et al.
Published: (2025)

Kernel Learning with Adversarial Features: Numerical Efficiency and Adaptive Regularization
by: Ribeiro, Antônio H., et al.
Published: (2025)

Best of Many in Both Worlds: Online Resource Allocation with Predictions under Unknown Arrival Model
by: An, Lin, et al.
Published: (2024)

Feature-aligned N-BEATS with Sinkhorn divergence
by: Lee, Joonhun, et al.
Published: (2023)

Generalization Bounds for Sparse Random Feature Expansions
by: Hashemi, Abolfazl, et al.
Published: (2021)

A Recovery Theory for Diffusion Priors: Deterministic Analysis of the Implicit Prior Algorithm
by: Leong, Oscar, et al.
Published: (2025)

Non-convex entropic mean-field optimization via Best Response flow
by: Lascu, Razvan-Andrei, et al.
Published: (2025)

Effective Communication with Dynamic Feature Compression
by: Talli, Pietro, et al.
Published: (2024)

Selecting the Best Optimizing System
by: Si, Nian, et al.
Published: (2022)

Global Convergence and Rich Feature Learning in $L$-Layer Infinite-Width Neural Networks under $μ$P Parametrization
by: Chen, Zixiang, et al.
Published: (2025)

Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination
by: Wang, Peng, et al.
Published: (2023)

Unveiling Induction Heads: Provable Training Dynamics and Feature Learning in Transformers
by: Chen, Siyu, et al.
Published: (2024)

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination
by: Zhu, Zhihan, et al.
Published: (2025)

Best of Both Worlds Guarantees for Smoothed Online Quadratic Optimization
by: Bhuyan, Neelkamal, et al.
Published: (2023)

Optimizing Sparse Generalized Singular Vectors for Feature Selection in Proximal Support Vector Machines with Application to Breast and Ovarian Cancer Detection
by: Ugwu, Ugochukwu O., et al.
Published: (2024)

On Separation Between Best-Iterate, Random-Iterate, and Last-Iterate Convergence of Learning in Games
by: Cai, Yang, et al.
Published: (2025)

Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup
by: Chidambaram, Muthu, et al.
Published: (2022)