Nonconvex Optimization papers, 2023–2026
Convergence and landscapes
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 2,330 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 154 | 79 | 98 | 15 | 346 |
| 2024 | 275 | 107 | 160 | 18 | 560 |
| 2025 | 279 | 177 | 192 | 19 | 667 |
| 2026 | 250 | 178 | 286 | 43 | 757 |
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
19 papers, page 1 of 1
- CVPR 2025AdaMMS: Model Merging for Heterogeneous Multimodal Large Language Models with Unsupervised Coefficient Optimization
- CVPR 2025Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization
- CVPR 2025Balanced Rate-Distortion Optimization in Learned Image Compression
- CVPR 2025Calibrated Multi-Preference Optimization for Aligning Diffusion Models
- CVPR 2025CoMBO: Conflict Mitigation via Branched Optimization for Class Incremental Segmentation
- CVPR 2025CTRL-D: Controllable Dynamic 3D Scene Editing with Personalized 2D Diffusion
- CVPR 2025Curriculum Direct Preference Optimization for Diffusion and Consistency Models
- CVPR 2025EditSplat: Multi-View Fusion and Attention-Guided Optimization for View-Consistent 3D Scene Editing with 3D Gaussian Splatting
- CVPR 2025FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors
- CVPR 2025HotSpot: Signed Distance Function Optimization with an Asymptotically Sufficient Condition
- CVPR 2025InPO: Inversion Preference Optimization with Reparametrized DDIM for Efficient Diffusion Model Alignment
- CVPR 2025Instance-wise Supervision-level Optimization in Active Learning
- CVPR 2025Investigating the Role of Weight Decay in Enhancing Nonconvex SGD
- CVPR 2025Joint Optimization of Neural Radiance Fields and Continuous Camera Motion from a Monocular Video
- CVPR 2025Locally Orderless Images for Optimization in Differentiable Rendering
- CVPR 2025PIDLoc: Cross-View Pose Optimization Network Inspired by PID Controllers
- CVPR 2025Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models
- CVPR 2025SSHNet: Unsupervised Cross-modal Homography Estimation via Problem Reformulation and Split Optimization
- CVPR 2025SymDPO: Boosting In-Context Learning of Large Multimodal Models with Symbol Demonstration Direct Preference Optimization
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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.