Symbolic Regression papers, 2023–2026

Key findings

• Symbolic Regression went from 63 papers in 2023 to 97 in 2026, roughly 1.5x in three years.
• NeurIPS publishes the most Symbolic Regression work: 118 papers from 2023 to 2026, 37% of the four-venue total.
• The fastest-growing overlap is with Theory · learning theory: papers tagged with both rose from 1 in 2023 to 10 in 2026.
• Among the 5 topics under Program Synthesis, it ranks #1 by 2026 paper count; the fastest grower in the group, Theorem Proving, is up 13x versus 1.5x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026Conformal Prediction for Distribution-to-Distribution Regression
• ICML 2026Approximation Bounds for Transformer Networks with Application to Regression
• ICLR 2026Fast Estimation of Wasserstein Distances via Regression on Sliced Wasserstein Distances
• CVPR 2026CoLoR The Devil is in Scene Coordinate Regression for Large-Scale
• NeurIPS 2025Ascent Fails to Forget
• ICML 2025Benefits of Early Stopping in Gradient Descent for Overparameterized Logistic Regression
• ICLR 2025A Graph Enhanced Symbolic Discovery Framework For Efficient Logic Optimization
• CVPR 2025R-SCoRe: Revisiting Scene Coordinate Regression for Robust Large-Scale Visual Localization
• NeurIPS 2024Distributed Sparse Regression via Penalization
• ICML 2024$H$-Consistency Guarantees for Regression
• ICLR 2024Geometrically Aligned Transfer Encoder for Inductive Transfer in Regression Tasks
• CVPR 2024Map-Relative Pose Regression for Visual Re-Localization
• NeurIPS 2023Collaboratively Learning Linear Models with Structured Missing Data
• ICML 2023A Nearly-Optimal Bound for Fast Regression with $\ell_\infty$ Guarantee
• ICLR 2023Fast Nonlinear Vector Quantile Regression
• CVPR 2023DistilPose: Tokenized Pose Regression With Heatmap Distillation
• NeurIPS 2026DASS: A Solver-Agnostic Dynamic Auxiliary Search Strategy for Symbolic Regression
• ICML 2026AutoNumerics-Zero: Automated Discovery of State-of-the-Art Mathematical Functions
• ICLR 2026GenSR: Symbolic regression based on equation generative space
• CVPR 2026Sparse-View Localization via Online Neural 3D Regression

All Symbolic Regression papers

21 papers, page 1 of 1

1. ICML 2025A Likelihood Based Approach to Distribution Regression Using Conditional Deep Generative Models
2. ICML 2025Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large $p$
3. ICML 2025Batch List-Decodable Linear Regression via Higher Moments
4. ICML 2025Benefits of Early Stopping in Gradient Descent for Overparameterized Logistic Regression
5. ICML 2025Curvature Enhanced Data Augmentation for Regression
6. ICML 2025Dataflow-Guided Neuro-Symbolic Language Models for Type Inference
7. ICML 2025Exact Recovery of Sparse Binary Vectors from Generalized Linear Measurements
8. ICML 2025Exploring Invariance in Images through One-way Wave Equations
9. ICML 2025Fast Min-$\epsilon$ Segmented Regression using Constant-Time Segment Merging
10. ICML 2025FEAT-KD: Learning Concise Representations for Single and Multi-Target Regression via TabNet Knowledge Distillation
11. ICML 2025Fully Heteroscedastic Count Regression with Deep Double Poisson Networks
12. ICML 2025Gradient Aligned Regression via Pairwise Losses
13. ICML 2025Heavy-Tailed Linear Bandits: Huber Regression with One-Pass Update
14. ICML 2025Learning Curves of Stochastic Gradient Descent in Kernel Regression
15. ICML 2025LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models
16. ICML 2025Meta Optimality for Demographic Parity Constrained Regression via Post-Processing
17. ICML 2025On Volume Minimization in Conformal Regression
18. ICML 2025Pareto-Optimal Fronts for Benchmarking Symbolic Regression Algorithms
19. ICML 2025PRIME: Deep Imbalanced Regression with Proxies
20. ICML 2025Sharp Generalization for Nonparametric Regression by Over-Parameterized Neural Networks: A Distribution-Free Analysis in Spherical Covariate
21. ICML 2025Theoretical Limitations of Ensembles in the Age of Overparameterization

FAQ

How many Symbolic Regression papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

316 in total: 63 in 2023, 81 in 2024, 75 in 2025, 97 in 2026.

How many Symbolic Regression papers are at NeurIPS 2026?

NeurIPS 2026 has 34 Symbolic Regression papers, versus 30 the year before.

How many Symbolic Regression papers are at ICLR 2026?

ICLR 2026 has 24 Symbolic Regression papers, versus 22 the year before.

How many Symbolic Regression papers are at ICML 2026?

ICML 2026 has 36 Symbolic Regression papers, versus 21 the year before.

How many Symbolic Regression papers are at CVPR 2026?

CVPR 2026 has 3 Symbolic Regression papers, versus 2 the year before.

Which conference publishes the most Symbolic Regression papers?

NeurIPS, with 118 papers from 2023 to 2026.