Nonconvex Optimization papers, 2023–2026

Key findings

• Nonconvex Optimization went from 346 papers in 2023 to 757 in 2026, roughly 2.2x in three years.
• NeurIPS publishes the most Nonconvex Optimization work: 958 papers from 2023 to 2026, 41% of the four-venue total.
• The fastest-growing overlap is with Diffusion Models: papers tagged with both rose from 2 in 2023 to 44 in 2026.
• Among the 5 topics under Optimization and Scaling, it ranks #2 by 2026 paper count; the fastest grower in the group, Scaling Laws, is up 4.1x versus 2.2x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026$\gamma$-weakly $\theta$-up-concavity: A Unified Framework for Non-Convex Optimization Beyond DR-Submodular and OSS Functions
• ICML 2026$\texttt{MetaDistill}$: Unlocking the Performance Ceiling for Pretrained Optimizers
• ICLR 2026Behavioral Embeddings of Programs: A Quasi-Dynamic Approach for Optimization Prediction
• CVPR 2026Coverage Optimization for Camera View Selection
• NeurIPS 2025Beyond Random: Automatic Inner-loop Optimization in Dataset Distillation
• ICML 2025A Bregman Proximal Viewpoint on Neural Operators
• ICLR 2025A Truncated Newton Method for Optimal Transport
• CVPR 2025Balanced Rate-Distortion Optimization in Learned Image Compression
• NeurIPS 2024A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences
• ICML 2024A Doubly Recursive Stochastic Compositional Gradient Descent Method for Federated Multi-Level Compositional Optimization
• ICLR 2024Bayesian Coreset Optimization for Personalized Federated Learning
• CVPR 2024FaceCom: Towards High-fidelity 3D Facial Shape Completion via Optimization and Inpainting Guidance
• NeurIPS 2023A Computation and Communication Efficient Method for Distributed Nonconvex Problems in the Partial Participation Setting
• ICML 2023A Distribution Optimization Framework for Confidence Bounds of Risk Measures
• ICLR 2023A view of mini-batch SGD via generating functions: conditions of convergence, phase transitions, benefit from negative momenta.
• CVPR 2023Attribute-Preserving Face Dataset Anonymization via Latent Code Optimization
• NeurIPS 2026A Doubly Smoothed Decentralized Stochastic Minimax Optimization Algorithm
• ICML 2026A Constrained Optimization Perspective of Unrolled Transformers
• ICLR 2026BEP: A Binary Error Propagation Algorithm for Binary Neural Networks Training
• CVPR 2026Fully Decentralized Certified Unlearning

All Nonconvex Optimization papers

667 papers, page 1 of 14

1. CVPR 2025AdaMMS: Model Merging for Heterogeneous Multimodal Large Language Models with Unsupervised Coefficient Optimization
2. CVPR 2025Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization
3. CVPR 2025Balanced Rate-Distortion Optimization in Learned Image Compression
4. CVPR 2025Calibrated Multi-Preference Optimization for Aligning Diffusion Models
5. CVPR 2025CoMBO: Conflict Mitigation via Branched Optimization for Class Incremental Segmentation
6. CVPR 2025CTRL-D: Controllable Dynamic 3D Scene Editing with Personalized 2D Diffusion
7. CVPR 2025Curriculum Direct Preference Optimization for Diffusion and Consistency Models
8. CVPR 2025EditSplat: Multi-View Fusion and Attention-Guided Optimization for View-Consistent 3D Scene Editing with 3D Gaussian Splatting
9. CVPR 2025FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors
10. CVPR 2025HotSpot: Signed Distance Function Optimization with an Asymptotically Sufficient Condition
11. CVPR 2025InPO: Inversion Preference Optimization with Reparametrized DDIM for Efficient Diffusion Model Alignment
12. CVPR 2025Instance-wise Supervision-level Optimization in Active Learning
13. CVPR 2025Investigating the Role of Weight Decay in Enhancing Nonconvex SGD
14. CVPR 2025Joint Optimization of Neural Radiance Fields and Continuous Camera Motion from a Monocular Video
15. CVPR 2025Locally Orderless Images for Optimization in Differentiable Rendering
16. CVPR 2025PIDLoc: Cross-View Pose Optimization Network Inspired by PID Controllers
17. CVPR 2025Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models
18. CVPR 2025SSHNet: Unsupervised Cross-modal Homography Estimation via Problem Reformulation and Split Optimization
19. CVPR 2025SymDPO: Boosting In-Context Learning of Large Multimodal Models with Symbol Demonstration Direct Preference Optimization
20. ICLR 2025$\phi$-Update: A Class of Policy Update Methods with Policy Convergence Guarantee
21. ICLR 2025$q$-exponential family for policy optimization
22. ICLR 2025A Coefficient Makes SVRG Effective
23. ICLR 2025A Common Pitfall of Margin-based Language Model Alignment: Gradient Entanglement
24. ICLR 2025A Deep Generative Learning Approach for Two-stage Adaptive Robust Optimization
25. ICLR 2025A New Perspective on Shampoo's Preconditioner
26. ICLR 2025A Stochastic Approach to the Subset Selection Problem via Mirror Descent
27. ICLR 2025A Theoretical Analysis of Self-Supervised Learning for Vision Transformers
28. ICLR 2025A Tight Convergence Analysis of Inexact Stochastic Proximal Point Algorithm for Stochastic Composite Optimization Problems
29. ICLR 2025A Truncated Newton Method for Optimal Transport
30. ICLR 2025A Unified Theory of Quantum Neural Network Loss Landscapes
31. ICLR 2025Accelerated Over-Relaxation Heavy-Ball Method: Achieving Global Accelerated Convergence with Broad Generalization
32. ICLR 2025Accelerated training through iterative gradient propagation along the residual path
33. ICLR 2025Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization
34. ICLR 2025AdaGrad under Anisotropic Smoothness
35. ICLR 2025Adam Exploits $\ell_\infty$-geometry of Loss Landscape via Coordinate-wise Adaptivity
36. ICLR 2025ADAM Optimization with Adaptive Batch Selection
37. ICLR 2025Adaptive backtracking line search
38. ICLR 2025Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws
39. ICLR 2025Adaptive Methods through the Lens of SDEs: Theoretical Insights on the Role of Noise
40. ICLR 2025Adaptive Pruning of Pretrained Transformer via Differential Inclusions
41. ICLR 2025ADMM for Nonconvex Optimization under Minimal Continuity Assumption
42. ICLR 2025ADMM for Structured Fractional Minimization
43. ICLR 2025Adversarial Policy Optimization for Offline Preference-based Reinforcement Learning
44. ICLR 2025Adversarial Search Engine Optimization for Large Language Models
45. ICLR 2025Aioli: A Unified Optimization Framework for Language Model Data Mixing
46. ICLR 2025An Asynchronous Bundle Method for Distributed Learning Problems
47. ICLR 2025An Effective Manifold-based Optimization Method for Distributionally Robust Classification
48. ICLR 2025Approximation algorithms for combinatorial optimization with predictions
49. ICLR 2025Attention with Markov: A Curious Case of Single-layer Transformers
50. ICLR 2025Bayesian Optimization via Continual Variational Last Layer Training

FAQ

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

2,330 in total: 346 in 2023, 560 in 2024, 667 in 2025, 757 in 2026.

How many Nonconvex Optimization papers are at NeurIPS 2026?

NeurIPS 2026 has 250 Nonconvex Optimization papers, versus 279 the year before.

How many Nonconvex Optimization papers are at ICLR 2026?

ICLR 2026 has 178 Nonconvex Optimization papers, versus 177 the year before.

How many Nonconvex Optimization papers are at ICML 2026?

ICML 2026 has 286 Nonconvex Optimization papers, versus 192 the year before.

How many Nonconvex Optimization papers are at CVPR 2026?

CVPR 2026 has 43 Nonconvex Optimization papers, versus 19 the year before.

Which conference publishes the most Nonconvex Optimization papers?

NeurIPS, with 958 papers from 2023 to 2026.