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 2023A Nearly-Optimal Bound for Fast Regression with $\ell_\infty$ Guarantee
2. ICML 2023Controllable Neural Symbolic Regression
3. ICML 2023Data-Driven Subgroup Identification for Linear Regression
4. ICML 2023Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search
5. ICML 2023Deep Regression Unlearning
6. ICML 2023Differentially Private Distributed Bayesian Linear Regression with MCMC
7. ICML 2023Efficient List-Decodable Regression using Batches
8. ICML 2023Extrapolated Random Tree for Regression
9. ICML 2023Flexible Model Aggregation for Quantile Regression
10. ICML 2023Gradient Descent Converges Linearly for Logistic Regression on Separable Data
11. ICML 2023Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression
12. ICML 2023Kernel Logistic Regression Approximation of an Understandable ReLU Neural Network
13. ICML 2023Multicalibration as Boosting for Regression
14. ICML 2023Nearly Optimal Algorithms with Sublinear Computational Complexity for Online Kernel Regression
15. ICML 2023On the Optimality of Misspecified Kernel Ridge Regression
16. ICML 2023Optimizing Hyperparameters with Conformal Quantile Regression
17. ICML 2023Regression with Label Permutation in Generalized Linear Model
18. ICML 2023Regression with Sensor Data Containing Incomplete Observations
19. ICML 2023Second-order regression models exhibit progressive sharpening to the edge of stability
20. ICML 2023Sketched Ridgeless Linear Regression: The Role of Downsampling
21. ICML 2023Weakly Supervised Regression with Interval Targets

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.