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

275 papers, page 1 of 6

1. NeurIPS 2024$\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$
2. NeurIPS 2024A Framework for Bilevel Optimization on Riemannian Manifolds
3. NeurIPS 2024A Globally Optimal Portfolio for m-Sparse Sharpe Ratio Maximization
4. NeurIPS 2024A Layer-Wise Natural Gradient Optimizer for Training Deep Neural Networks
5. NeurIPS 2024A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints
6. NeurIPS 2024A Single-Step, Sharpness-Aware Minimization is All You Need to Achieve Efficient and Accurate Sparse Training
7. NeurIPS 2024A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences
8. NeurIPS 2024Accelerating Matroid Optimization through Fast Imprecise Oracles
9. NeurIPS 2024Acceleration Exists! Optimization Problems When Oracle Can Only Compare Objective Function Values
10. NeurIPS 2024Achieving Linear Convergence with Parameter-Free Algorithms in Decentralized Optimization
11. NeurIPS 2024Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes
12. NeurIPS 2024Active Set Ordering
13. NeurIPS 2024Adam with model exponential moving average is effective for nonconvex optimization
14. NeurIPS 2024Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization
15. NeurIPS 2024Adaptive Proximal Gradient Method for Convex Optimization
16. NeurIPS 2024Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions
17. NeurIPS 2024Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation
18. NeurIPS 2024ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models
19. NeurIPS 2024Amortized Eigendecomposition for Neural Networks
20. NeurIPS 2024An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
21. NeurIPS 2024An Accelerated Gradient Method for Convex Smooth Simple Bilevel Optimization
22. NeurIPS 2024An effective framework for estimating individualized treatment rules
23. NeurIPS 2024An Improved Empirical Fisher Approximation for Natural Gradient Descent
24. NeurIPS 2024Analyzing & Reducing the Need for Learning Rate Warmup in GPT Training
25. NeurIPS 2024Approximating the Top Eigenvector in Random Order Streams
26. NeurIPS 2024Autoregressive Policy Optimization for Constrained Allocation Tasks
27. NeurIPS 2024B-ary Tree Push-Pull Method is Provably Efficient for Distributed Learning on Heterogeneous Data
28. NeurIPS 2024BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models
29. NeurIPS 2024Bayesian Nonparametrics Meets Data-Driven Distributionally Robust Optimization
30. NeurIPS 2024Bayesian Optimization of Functions over Node Subsets in Graphs
31. NeurIPS 2024Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime
32. NeurIPS 2024Benign overfitting in leaky ReLU networks with moderate input dimension
33. NeurIPS 2024Binary Search with Distributional Predictions
34. NeurIPS 2024BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning
35. NeurIPS 2024Byzantine Robustness and Partial Participation Can Be Achieved at Once: Just Clip Gradient Differences
36. NeurIPS 2024Can Learned Optimization Make Reinforcement Learning Less Difficult?
37. NeurIPS 2024CoBo: Collaborative Learning via Bilevel Optimization
38. NeurIPS 2024Communication Efficient Distributed Training with Distributed Lion
39. NeurIPS 2024Communication-Efficient Federated Group Distributionally Robust Optimization
40. NeurIPS 2024Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models
41. NeurIPS 2024Conformal Inverse Optimization
42. NeurIPS 2024Constrained Binary Decision Making
43. NeurIPS 2024Constrained Diffusion Models via Dual Training
44. NeurIPS 2024Contextual Linear Optimization with Bandit Feedback
45. NeurIPS 2024Controlling Continuous Relaxation for Combinatorial Optimization
46. NeurIPS 2024Convergence Analysis of Split Federated Learning on Heterogeneous Data
47. NeurIPS 2024Convolutions and More as Einsum: A Tensor Network Perspective with Advances for Second-Order Methods
48. NeurIPS 2024CRAYM: Neural Field Optimization via Camera RAY Matching
49. NeurIPS 2024Decision-Focused Learning with Directional Gradients
50. NeurIPS 2024Deep Learning for Computing Convergence Rates of Markov Chains

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.