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

958 papers, page 1 of 20

1. NeurIPS 2026\texttt{FEROM}: Frontier Endogenous Reveal-Order Marginal Policy Optimization for Masked Diffusion LMs
2. NeurIPS 2026$\gamma$-weakly $\theta$-up-concavity: A Unified Framework for Non-Convex Optimization Beyond DR-Submodular and OSS Functions
3. NeurIPS 2026A Constrained Bi-level Optimization Framework for Constrained Preference-Based Reinforcement Learning
4. NeurIPS 2026A Doubly Smoothed Decentralized Stochastic Minimax Optimization Algorithm
5. NeurIPS 2026A Grid Efficient Transport Optimization Model for the Wasserstein Barycenter Problem
6. NeurIPS 2026A Little Robustness Is All You Need: Leveraging Predictions for Contextual Optimization
7. NeurIPS 2026A Local Geometric Analysis of Maximal Coding Rate Reduction via Error Bounds
8. NeurIPS 2026A Locality-Aware Surrogate for Natural-Gradient Descent in Quantum Optimization
9. NeurIPS 2026A Surrogate Perspective on Convergence of Fixed-Target DQN
10. NeurIPS 2026A Theoretical Analysis of Backdoor Learning as Simplicity-Biased Optimization Dynamics
11. NeurIPS 2026Absolute State-wise Constrained Policy Optimization: High-Probability State-wise Constraints Satisfaction
12. NeurIPS 2026Achieving Better Local Regret Bound for Online Non-Convex Bilevel Optimization
13. NeurIPS 2026Achieving Directional-Stationarity from a Single Random Direction Step
14. NeurIPS 2026ADAPT: Hybrid Prompt Optimization for LLM Feature Visualization
15. NeurIPS 2026Adaptively Incorporating Directional Hints into Zeroth-Order Optimization
16. NeurIPS 2026AdaSRU: Adaptive Source-Free Recommendation Unlearning via Gradient-Constrained Optimization
17. NeurIPS 2026Adversary-Robust Learning from Fully Asynchronous Directional Derivative Estimates
18. NeurIPS 2026AETDICE: Unified Framework and Offline Optimization for Nonlinear Multi-Objective RL
19. NeurIPS 2026Affine-invariant Cubic Newton with Weak Learners
20. NeurIPS 2026AgentCBO: Causal Belief Routing for Bayesian Optimization under Unknown Graphs
21. NeurIPS 2026AgentKernelArena: Benchmarking Performance and Generalization of AI Coding Agents on GPU Kernels Optimization
22. NeurIPS 2026Amortized Molecular Optimization via Group Relative Policy Optimization
23. NeurIPS 2026An Educated Guess: Deriving Statistically Aligned Gradient Estimates for Zeroth-Order Optimization
24. NeurIPS 2026AsyncMesh: Fully Asynchronous Optimization for Data and Pipeline Parallelism
25. NeurIPS 2026Automated Kernel Discovery Towards Understanding High-dimensional Bayesian Optimization
26. NeurIPS 2026Automated Reformulation of Robust Optimization via Memory-Augmented Large Language Models
27. NeurIPS 2026AutoSaddler: Automatic Harness Optimization with Durable Updates from Agent Execution Traces
28. NeurIPS 2026B$^3$-PWL: GPU-Batched Branch-and-Bound for Piecewise-Linear Optimization with SOS2 Constraints
29. NeurIPS 2026Bayesian Optimization with Fisher Information Geometry: Gradient Bounds and Trust-Region Methods
30. NeurIPS 2026BBOWP-Bench: Evaluating LLMs on Black-Box Optimization Word Problems
31. NeurIPS 2026Behavior Pack Optimization for Video MLLM Post-Training
32. NeurIPS 2026Bellman Residual Minimization for Control: Geometry, Stationarity, and Convergence
33. NeurIPS 2026Beyond Bounded Variance: Variance-Reduced Normalized Methods for Nonconvex Optimization under Blum-Gladyshev Noise
34. NeurIPS 2026Beyond Outcome Rewards: Step-Level Self-Distilled Policy Optimization for Deep Search Agents
35. NeurIPS 2026Beyond Outcome: Trajectory-Driven Prompt Optimization via Multi-Dimensional Rewards
36. NeurIPS 2026Bidirectional Information Flow (BIF) - A Sample Efficient Hierarchical Gaussian Process for Bayesian Optimization
37. NeurIPS 2026Blocked Gibbs meets Diffusion Transformers: Unsupervised Learning for Constraint Optimization
38. NeurIPS 2026BROS: Bias-Corrected Randomized Subspaces for Memory-Efficient Single-Loop Bilevel Optimization
39. NeurIPS 2026CANDO: Cooperative Agentic Network for Layout Design Optimization
40. NeurIPS 2026Capacity Allocation at the Source: Sparse Target Optimization for LLM Knowledge Editing
41. NeurIPS 2026Clearer Sight, Fewer Lies: Oriented Pickup Preference Optimization for Multimodal Hallucination Mitigation
42. NeurIPS 2026Closed-Form Last Layer Optimization
43. NeurIPS 2026CoE-Agent: Co-Evolving Patient-Doctor Agents via Interactive Policy Graph Optimization for Clinical Decision Making
44. NeurIPS 2026Conservative Continuous-Time Treatment Optimization
45. NeurIPS 2026Conservative Pareto Set Amortization for Offline Multi-Objective Optimization
46. NeurIPS 2026Constrained Stochastic Spectral Preconditioning Converges for Nonconvex Objectives
47. NeurIPS 2026Continuous p-adic Optimization
48. NeurIPS 2026Convergence of Near-Linear Width ReLU Networks with Unbalanced Initialization
49. NeurIPS 2026Cost-Aware Learning
50. NeurIPS 2026Decision-Focused Learning in MDPs: An Occupancy Measure Approach

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.