Cover Image

PENEX: AdaBoost-Inspired Neural Network Regularization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kladny, Klaus-Rudolf, Schölkopf, Bernhard, Muehlebach, Michael
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering
by: Kladny, Klaus-Rudolf, et al.
Published: (2024)

Adaptive Inverted-Index Routing for Granular Mixtures-of-Experts
by: Kladny, Klaus-Rudolf, et al.
Published: (2026)

Deep Backtracking Counterfactuals for Causally Compliant Explanations
by: Kladny, Klaus-Rudolf, et al.
Published: (2023)

A Critical Perspective on Finite Sample Conformal Prediction Theory in Medical Applications
by: Kladny, Klaus-Rudolf, et al.
Published: (2025)

AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation
by: Lu, Weigang, et al.
Published: (2024)

When Analytic Calculus Cracks AdaBoost Code
by: Brossier, Jean-Marc, et al.
Published: (2023)

AdaBoost is not an Optimal Weak to Strong Learner
by: Høgsgaard, Mikael Møller, et al.
Published: (2023)

AdaBoost Does Not Always Cycle: A Computer-Assisted Counterexample
by: Wang, Erik Y.
Published: (2026)

GAdaBoost: An Efficient and Robust AdaBoost Algorithm Based on Granular-Ball Structure
by: Xie, Qin, et al.
Published: (2025)

Integrating Asynchronous AdaBoost into Federated Learning: Five Real World Applications
by: Oghlukyan, Arthur, et al.
Published: (2025)

Improved AdaBoost for Virtual Reality Experience Prediction Based on Long Short-Term Memory Network
by: Fan, Wenhan, et al.
Published: (2024)

Support Vector Boosting Machine (SVBM): Enhancing Classification Performance with AdaBoost and Residual Connections
by: Lian, Junbo Jacob
Published: (2024)

EEG based Person Identification Using AdaBoost Algorithm
by: Pakgohar, Amirpouya
Published: (2018)

Hyperbolic Busemann Neural Networks
by: Chen, Ziheng, et al.
Published: (2026)

Identifying Intervenable and Interpretable Features via Orthogonality Regularization
by: Miller, Moritz, et al.
Published: (2026)

Hallmarks of Optimization Trajectories in Neural Networks: Directional Exploration and Redundancy
by: Singh, Sidak Pal, et al.
Published: (2024)

Supervised Learning Guarantee for Quantum AdaBoost
by: Wang, Yabo, et al.
Published: (2024)

Robustness of Nonlinear Representation Learning
by: Buchholz, Simon, et al.
Published: (2025)

Geometry-Aware Instrumental Variable Regression
by: Kremer, Heiner, et al.
Published: (2024)

Skill or Luck? Return Decomposition via Advantage Functions
by: Pan, Hsiao-Ru, et al.
Published: (2024)

Physics of Learning: A Lagrangian perspective to different learning paradigms
by: Guo, Siyuan, et al.
Published: (2025)

DFReg: A Physics-Inspired Framework for Global Weight Distribution Regularization in Neural Networks
by: Ruggieri, Giovanni
Published: (2025)

Online Learning and Unlearning
by: Hu, Yaxi, et al.
Published: (2025)

Causal Modeling with Stationary Diffusions
by: Lorch, Lars, et al.
Published: (2023)

SPARTAN: A Sparse Transformer World Model Attending to What Matters
by: Lei, Anson, et al.
Published: (2024)

Targeted Reduction of Causal Models
by: Kekić, Armin, et al.
Published: (2023)

Riemannian Networks over Full-Rank Correlation Matrices
by: Chen, Ziheng, et al.
Published: (2026)

Ada-HGNN: Adaptive Sampling for Scalable Hypergraph Neural Networks
by: Wang, Shuai, et al.
Published: (2024)

Binary classifiers versus AdaBoost for labeling of digital documents
by: Arturo Montejo-Ráez
Published: (2006)

Structure by Architecture: Structured Representations without Regularization
by: Leeb, Felix, et al.
Published: (2020)

Partially Observable Reinforcement Learning with Memory Traces
by: Eberhard, Onno, et al.
Published: (2025)

Commit to the Bit: Reactive Reinforcement Learning Done Right
by: Eberhard, Onno, et al.
Published: (2026)

Bhargava Cube--Inspired Quadratic Regularization for Structured Neural Embeddings
by: Sairam, S, et al.
Published: (2025)

AdaCubic: An Adaptive Cubic Regularization Optimizer for Deep Learning
by: Tsingalis, Ioannis, et al.
Published: (2026)

On Constraints in First-Order Optimization: A View from Non-Smooth Dynamical Systems
by: Muehlebach, Michael, et al.
Published: (2021)

Accelerated First-Order Optimization under Nonlinear Constraints
by: Muehlebach, Michael, et al.
Published: (2023)

Fast Non-Log-Concave Sampling under Nonconvex Equality and Inequality Constraints with Landing
by: Jeon, Kijung, et al.
Published: (2025)

Efficient Diffusion Models under Nonconvex Equality and Inequality constraints via Landing
by: Jeon, Kijung, et al.
Published: (2026)

Stochastic Online Optimization for Cyber-Physical and Robotic Systems
by: Ma, Hao, et al.
Published: (2024)

Causality can systematically address the monsters under the bench(marks)
by: Leeb, Felix, et al.
Published: (2025)