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

2,330 papers, page 29 of 47

1401. NeurIPS 2025TANDEM: Bi-Level Data Mixture Optimization with Twin Networks
1402. NeurIPS 2025Targeted Maximum Likelihood Learning: An Optimization Perspective
1403. NeurIPS 2025The Bias-Variance Tradeoff in Data-Driven Optimization: A Local Misspecification Perspective
1404. NeurIPS 2025The Complexity of Symmetric Equilibria in Min-Max Optimization and Team Zero-Sum Games
1405. NeurIPS 2025The Fragile Truth of Saliency: Improving LLM Input Attribution via Attention Bias Optimization
1406. NeurIPS 2025Theoretical Investigation of Adafactor for Non-Convex Smooth Optimization
1407. NeurIPS 2025Thompson Sampling in Function Spaces via Neural Operators
1408. NeurIPS 2025Tight analyses of first-order methods with error feedback
1409. NeurIPS 2025Tight High-Probability Bounds for Nonconvex Heavy-Tailed Scenario under Weaker Assumptions
1410. NeurIPS 2025Tight Lower Bounds and Improved Convergence in Performative Prediction
1411. NeurIPS 2025TokMan:Tokenize Manhattan Mask Optimization for Inverse Lithography
1412. NeurIPS 2025Towards Straggler-Resilient Split Federated Learning: An Unbalanced Update Approach
1413. NeurIPS 2025Training the Untrainable: Introducing Inductive Bias via Representational Alignment
1414. NeurIPS 2025Transformers Learn Faster with Semantic Focus
1415. NeurIPS 2025Trust Region Reward Optimization and Proximal Inverse Reward Optimization Algorithm
1416. NeurIPS 2025Týr-the-Pruner: Structural Pruning LLMs via Global Sparsity Distribution Optimization
1417. NeurIPS 2025UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection
1418. NeurIPS 2025Uniform Wrappers: Bridging Concave to Quadratizable Functions in Online Optimization
1419. NeurIPS 2025Unsupervised Learning for Optimal Transport plan prediction between unbalanced graphs
1420. NeurIPS 2025Variance-Reduced Long-Term Rehearsal Learning with Quadratic Programming Reformulation
1421. NeurIPS 2025Variational Inference with Mixtures of Isotropic Gaussians
1422. NeurIPS 2025VGGT-SLAM: Dense RGB SLAM Optimized on the SL(4) Manifold
1423. NeurIPS 2025What Data Enables Optimal Decisions? An Exact Characterization for Linear Optimization
1424. NeurIPS 2025Zeroth-Order Optimization Finds Flat Minima
1425. CVPR 2024Adapters Strike Back
1426. CVPR 2024DiffAvatar: Simulation-Ready Garment Optimization with Differentiable Simulation
1427. CVPR 2024Efficient Hyperparameter Optimization with Adaptive Fidelity Identification
1428. CVPR 2024FaceCom: Towards High-fidelity 3D Facial Shape Completion via Optimization and Inpainting Guidance
1429. CVPR 2024Fast Adaptation for Human Pose Estimation via Meta-Optimization
1430. CVPR 2024Friendly Sharpness-Aware Minimization
1431. CVPR 2024ICON: Incremental CONfidence for Joint Pose and Radiance Field Optimization
1432. CVPR 2024Implicit Event-RGBD Neural SLAM
1433. CVPR 2024In Search of a Data Transformation That Accelerates Neural Field Training
1434. CVPR 2024Ink Dot-Oriented Differentiable Optimization for Neural Image Halftoning
1435. CVPR 2024Multi-Session SLAM with Differentiable Wide-Baseline Pose Optimization
1436. CVPR 2024Multiway Point Cloud Mosaicking with Diffusion and Global Optimization
1437. CVPR 2024NEAT: Distilling 3D Wireframes from Neural Attraction Fields
1438. CVPR 2024POCE: Primal Policy Optimization with Conservative Estimation for Multi-constraint Offline Reinforcement Learning
1439. CVPR 2024Quantifying Task Priority for Multi-Task Optimization
1440. CVPR 2024Re-thinking Data Availability Attacks Against Deep Neural Networks
1441. CVPR 2024SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optimization In-the-wild
1442. CVPR 2024Towards Robust Learning to Optimize with Theoretical Guarantees
1443. ICLR 2024A Discretization Framework for Robust Contextual Stochastic Optimization
1444. ICLR 2024A Fast and Provable Algorithm for Sparse Phase Retrieval
1445. ICLR 2024A General Framework for User-Guided Bayesian Optimization
1446. ICLR 2024A Precise Characterization of SGD Stability Using Loss Surface Geometry
1447. ICLR 2024A Primal-Dual Approach to Solving Variational Inequalities with General Constraints
1448. ICLR 2024A Probabilistic Framework for Modular Continual Learning
1449. ICLR 2024A Study of Bayesian Neural Network Surrogates for Bayesian Optimization
1450. ICLR 2024A Unified Framework for Bayesian Optimization under Contextual Uncertainty

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.