Cover Image

Choosing the Right Regularizer for Applied ML: Simulation Benchmarks of Popular Scikit-learn Regularization Frameworks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Knight, Benjamin S., Bajaj, Ahsaas
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Regularized Q-learning
by: Lim, Han-Dong, et al.
Published: (2022)

Scikit-fingerprints: easy and efficient computation of molecular fingerprints in Python
by: Adamczyk, Jakub, et al.
Published: (2024)

kooplearn: A Scikit-Learn Compatible Library of Algorithms for Evolution Operator Learning
by: Turri, Giacomo, et al.
Published: (2025)

Efficient Public Verification of Private ML via Regularization
by: Bell, Zoë Ruha, et al.
Published: (2025)

Queryable LoRA: Instruction-Regularized Routing Over Shared Low-Rank Update Atoms
by: Vaidya, Omatharv Bharat, et al.
Published: (2026)

Regularization of ML models for Earth systems by using longer model timesteps
by: Parthipan, Raghul, et al.
Published: (2025)

Transfer learning via Regularized Linear Discriminant Analysis
by: Zhang, Hongzhe, et al.
Published: (2025)

A Falsifiable Prediction of Gravitational Wave Echoes from a Regularized Kerr-Newman Spacetime Derived via Architectural Analysis
by: Billions, Ava, et al.
Published: (2025)

Choosing the Right Weights: Balancing Value, Strategy, and Noise in Recommender Systems
by: Milli, Smitha, et al.
Published: (2023)

Structural DID with ML: Theory, Simulation, and a Roadmap for Applied Research
by: Yu, Yile, et al.
Published: (2025)

Regularized Q-learning through Robust Averaging
by: Schmitt-Förster, Peter, et al.
Published: (2024)

LUMOS: Democratizing SciML Workflows with L0-Regularized Learning for Unified Feature and Parameter Adaptation
by: Gao, Shouwei, et al.
Published: (2026)

fairret: a Framework for Differentiable Fairness Regularization Terms
by: Buyl, Maarten, et al.
Published: (2023)

Hypercube Policy Regularization Framework for Offline Reinforcement Learning
by: Shen, Yi, et al.
Published: (2024)

On Mixup Regularization
by: Carratino, Luigi, et al.
Published: (2020)

Effects of Common Regularization Techniques on Open-Set Recognition
by: Rabin, Zachary, et al.
Published: (2024)

Learning Regularizers: Learning Optimizers that can Regularize
by: Sahoo, Suraj Kumar, et al.
Published: (2025)

Risk Comparisons in Linear Regression: Implicit Regularization Dominates Explicit Regularization
by: Wu, Jingfeng, et al.
Published: (2025)

A Stability Benchmark of Generative Regularizers for Inverse Problems
by: Denker, Alexander, et al.
Published: (2026)

Regularization-based Framework for Quantization-, Fault- and Variability-Aware Training
by: Biswas, Anmol, et al.
Published: (2025)

Graph Regularized PCA
by: Briola, Antonio, et al.
Published: (2026)

Weight-Sharing Regularization
by: Shakerinava, Mehran, et al.
Published: (2023)

Regularized Neural Ensemblers
by: Arango, Sebastian Pineda, et al.
Published: (2024)

Demonstration-Regularized RL
by: Tiapkin, Daniil, et al.
Published: (2023)

A Unified Fractional Regularization Framework for Sparse Recovery
by: Zhao, Yinhao, et al.
Published: (2026)

Maintaining Plasticity in Continual Learning via Regenerative Regularization
by: Kumar, Saurabh, et al.
Published: (2023)

Spatially Regularized Graph Attention Autoencoder Framework for Detecting Rainfall Extremes
by: Agarwal, Mihir, et al.
Published: (2024)

Stability and Robustness via Regularization: Bandit Inference via Regularized Stochastic Mirror Descent
by: Halder, Budhaditya, et al.
Published: (2026)

Lattice-based Deep Neural Networks: Regularity and Tailored Regularization
by: Keller, Alexander, et al.
Published: (2026)

An Agglomerative Clustering of Simulation Output Distributions Using Regularized Wasserstein Distance
by: Ghasemloo, Mohammadmahdi, et al.
Published: (2024)

The Implicit Bias of Logit Regularization
by: Beck, Alon, et al.
Published: (2026)

Regularized Large Neighborhood Search
by: Vivier-Ardisson, Germain, et al.
Published: (2026)

Sliced-Regularized Optimal Transport
by: Nguyen, Khai
Published: (2026)

Spectral Regularization for Diffusion Models
by: Chandran, Satish, et al.
Published: (2026)

Learning Continually by Spectral Regularization
by: Lewandowski, Alex, et al.
Published: (2024)

Optimal Regularization for Performative Learning
by: Cyffers, Edwige, et al.
Published: (2025)

Attribution Regularization for Multimodal Paradigms
by: Yerramilli, Sahiti, et al.
Published: (2024)

Tree-Regularized Tabular Embeddings
by: Li, Xuan, et al.
Published: (2024)

Cauchy-Schwarz Fairness Regularizer
by: Liu, Yezi, et al.
Published: (2025)

Fairness Regularization in Federated Learning
by: Kharaghani, Zahra, et al.
Published: (2025)