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

24 papers, page 1 of 1

1. ICML 2024$H$-Consistency Guarantees for Regression
2. ICML 2024A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data
3. ICML 2024Agnostic Sample Compression Schemes for Regression
4. ICML 2024Beyond the Norms: Detecting Prediction Errors in Regression Models
5. ICML 2024Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum
6. ICML 2024Coresets for Multiple $\ell_p$ Regression
7. ICML 2024Deep Regression Representation Learning with Topology
8. ICML 2024Differentially Private Post-Processing for Fair Regression
9. ICML 2024Federated Neuro-Symbolic Learning
10. ICML 2024First-Order Manifold Data Augmentation for Regression Learning
11. ICML 2024Generalization in Kernel Regression Under Realistic Assumptions
12. ICML 2024Geometry-Aware Instrumental Variable Regression
13. ICML 2024Inferring Change Points in High-Dimensional Linear Regression via Approximate Message Passing
14. ICML 2024Neuro-Symbolic Temporal Point Processes
15. ICML 2024No Double Descent in Principal Component Regression: A High-Dimensional Analysis
16. ICML 2024Online Linear Regression in Dynamic Environments via Discounting
17. ICML 2024Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift
18. ICML 2024PAGER: Accurate Failure Characterization in Deep Regression Models
19. ICML 2024Pruner-Zero: Evolving Symbolic Pruning Metric From Scratch for Large Language Models
20. ICML 2024Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise
21. ICML 2024Simulation-Based Inference with Quantile Regression
22. ICML 2024TIC-TAC: A Framework For Improved Covariance Estimation In Deep Heteroscedastic Regression
23. ICML 2024Towards General Algorithm Discovery for Combinatorial Optimization: Learning Symbolic Branching Policy from Bipartite Graph
24. ICML 2024Unveiling the Cycloid Trajectory of EM Iterations in Mixed Linear Regression

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.