Can Synthetic Data Improve Symbolic Regression Extrapolation Performance?
Fuente:
arXiv
Saved in:
| Main Authors: | Ramlan, Fitria Wulandari, O'Riordan, Colm, Kronberger, Gabriel, McDermott, James |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Machine Learning-Based Model for Postoperative Stroke Prediction in Coronary Artery Disease
by: Pan, Haonan, et al.
Published: (2025)
by: Pan, Haonan, et al.
Published: (2025)
Nature-Inspired Algorithms in Optimization: Introduction, Hybridization and Insights
by: Yang, Xin-She
Published: (2023)
by: Yang, Xin-She
Published: (2023)
Isomorphic Functionalities between Ant Colony and Ensemble Learning: Part III -- Gradient Descent, Neural Plasticity, and the Emergence of Deep Intelligence
by: Fokoué, Ernest, et al.
Published: (2026)
by: Fokoué, Ernest, et al.
Published: (2026)
Socio-cognitive agent-oriented evolutionary algorithm with trust-based optimization
by: Urbańczyk, Aleksandra, et al.
Published: (2025)
by: Urbańczyk, Aleksandra, et al.
Published: (2025)
Similarity-based fuzzy clustering scientific articles: potentials and challenges from mathematical and computational perspectives
by: Huong, Vu Thi, et al.
Published: (2025)
by: Huong, Vu Thi, et al.
Published: (2025)
A Speed-up for Helsgaun's TSP Heuristic by Relaxing the Positive Gain Criterion
by: Ammann, Sabrina C. L., et al.
Published: (2024)
by: Ammann, Sabrina C. L., et al.
Published: (2024)
Online Decision Making with Generative Action Sets
by: Xu, Jianyu, et al.
Published: (2025)
by: Xu, Jianyu, et al.
Published: (2025)
The Competition Complexity of Prophet Inequalities
by: Brustle, Johannes, et al.
Published: (2024)
by: Brustle, Johannes, et al.
Published: (2024)
Enhancing Diversity in Multi-objective Feature Selection
by: Miyandoab, Sevil Zanjani, et al.
Published: (2024)
by: Miyandoab, Sevil Zanjani, et al.
Published: (2024)
Generalizing Adam to Manifolds for Efficiently Training Transformers
by: Brantner, Benedikt
Published: (2023)
by: Brantner, Benedikt
Published: (2023)
Improved Differential Evolution based Feature Selection through Quantum, Chaos, and Lasso
by: Vivek, Yelleti, et al.
Published: (2024)
by: Vivek, Yelleti, et al.
Published: (2024)
A Systematic Evaluation Protocol of Graph-Derived Signals for Tabular Machine Learning
by: Heidrich, Mario, et al.
Published: (2026)
by: Heidrich, Mario, et al.
Published: (2026)
Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem
by: Vodeb, Jaka, et al.
Published: (2024)
by: Vodeb, Jaka, et al.
Published: (2024)
Iterative Exploration-Driven Sparse SDP Clustering via Thompson Sampling
by: Mun, Jongmin, et al.
Published: (2025)
by: Mun, Jongmin, et al.
Published: (2025)
Uniform Value and Decidability in Ergodic Blind Stochastic Games
by: Chatterjee, Krishnendu, et al.
Published: (2024)
by: Chatterjee, Krishnendu, et al.
Published: (2024)
optimize_anything: A Universal API for Optimizing any Text Parameter
by: Agrawal, Lakshya A, et al.
Published: (2026)
by: Agrawal, Lakshya A, et al.
Published: (2026)
Identifiable Convex-Concave Regression via Sub-gradient Regularised Least Squares
by: Chung, William
Published: (2025)
by: Chung, William
Published: (2025)
Computing k-means in mixed precision
by: Carson, Erin, et al.
Published: (2024)
by: Carson, Erin, et al.
Published: (2024)
Multipole Semantic Attention: A Fast Approximation of Softmax Attention for Pretraining
by: Mitchell, Rupert, et al.
Published: (2025)
by: Mitchell, Rupert, et al.
Published: (2025)
SUDA-Muon: Structural Design Principles and Boundaries for Fully Decentralized Muon
by: Zhang, Hengrui, et al.
Published: (2026)
by: Zhang, Hengrui, et al.
Published: (2026)
Beyond Least Squares: Robust Regression Transformer (R2T)
by: Gutierrez, Roman, et al.
Published: (2025)
by: Gutierrez, Roman, et al.
Published: (2025)
Multi-Party Multi-Objective Optimization as Consensus Search: Runtime Analysis of Cross-Party Recombination
by: Fang, Xiaolei, et al.
Published: (2026)
by: Fang, Xiaolei, et al.
Published: (2026)
EvoPref: Multi-Objective Evolutionary Optimization Discovers Diverse LLM Alignments Beyond Gradient Descent
by: Guo, Dongxin, et al.
Published: (2026)
by: Guo, Dongxin, et al.
Published: (2026)
Parameter-Efficient Neuroevolution for Diverse LLM Generation: Quality-Diversity Optimization via Prompt Embedding Evolution
by: Guo, Dongxin, et al.
Published: (2026)
by: Guo, Dongxin, et al.
Published: (2026)
Communication Compression for Distributed Learning without Control Variates
by: Ortega, Tomas, et al.
Published: (2024)
by: Ortega, Tomas, et al.
Published: (2024)
Communication Compression for Distributed Learning with Aggregate and Server-Guided Feedback
by: Ortega, Tomas, et al.
Published: (2025)
by: Ortega, Tomas, et al.
Published: (2025)
Quantized and Asynchronous Federated Learning
by: Ortega, Tomas, et al.
Published: (2024)
by: Ortega, Tomas, et al.
Published: (2024)
Decentralized Parameter-Free Online Learning with Compressed Gossip
by: Ortega, Tomas, et al.
Published: (2026)
by: Ortega, Tomas, et al.
Published: (2026)
Decentralized Parameter-Free Online Learning
by: Ortega, Tomas, et al.
Published: (2025)
by: Ortega, Tomas, et al.
Published: (2025)
Quantum-Inspired Evolutionary Algorithms for Feature Subset Selection: A Comprehensive Survey
by: Vivek, Yelleti, et al.
Published: (2024)
by: Vivek, Yelleti, et al.
Published: (2024)
NeurOptimisation: The Spiking Way to Evolve
by: Cruz-Duarte, Jorge Mario, et al.
Published: (2025)
by: Cruz-Duarte, Jorge Mario, et al.
Published: (2025)
Robustness Auditing for Linear Regression: To Singularity and Beyond
by: Rubinstein, Ittai, et al.
Published: (2024)
by: Rubinstein, Ittai, et al.
Published: (2024)
Distributed Computing for Huge-Scale Linear Programming
by: Tao, Luoyi
Published: (2024)
by: Tao, Luoyi
Published: (2024)
Topologically Interlocking Blocks inside the Tetroctahedrille
by: Akpanya, Reymond, et al.
Published: (2024)
by: Akpanya, Reymond, et al.
Published: (2024)
General Constrained Matrix Optimization
by: Garner, Casey, et al.
Published: (2024)
by: Garner, Casey, et al.
Published: (2024)
Spectrally Constrained Optimization
by: Garner, Casey, et al.
Published: (2023)
by: Garner, Casey, et al.
Published: (2023)
Long-Term Electricity Demand Prediction Using Non-negative Tensor Factorization and Genetic Algorithm-Driven Temporal Modeling
by: Masaki, Toma, et al.
Published: (2025)
by: Masaki, Toma, et al.
Published: (2025)
Primal-Dual Coordinate Descent for Nonconvex-Nonconcave Saddle Point Problems Under the Weak MVI Assumption
by: Walwil, Iyad, et al.
Published: (2025)
by: Walwil, Iyad, et al.
Published: (2025)
Extensions of the regret-minimization algorithm for optimal design
by: Chen, Youguang, et al.
Published: (2025)
by: Chen, Youguang, et al.
Published: (2025)
Optimised Support Vector Regression for California Housing Price Prediction: The Critical Role of Feature Engineering and Hyperparameter Tuning
by: Adutwum, Emmanuel
Published: (2026)
by: Adutwum, Emmanuel
Published: (2026)
Similar Items
-
Machine Learning-Based Model for Postoperative Stroke Prediction in Coronary Artery Disease
by: Pan, Haonan, et al.
Published: (2025) -
Nature-Inspired Algorithms in Optimization: Introduction, Hybridization and Insights
by: Yang, Xin-She
Published: (2023) -
Isomorphic Functionalities between Ant Colony and Ensemble Learning: Part III -- Gradient Descent, Neural Plasticity, and the Emergence of Deep Intelligence
by: Fokoué, Ernest, et al.
Published: (2026) -
Socio-cognitive agent-oriented evolutionary algorithm with trust-based optimization
by: Urbańczyk, Aleksandra, et al.
Published: (2025) -
Similarity-based fuzzy clustering scientific articles: potentials and challenges from mathematical and computational perspectives
by: Huong, Vu Thi, et al.
Published: (2025)