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

178 papers, page 4 of 4

151. ICLR 2026Sobolev Gradient Ascent for Optimal Transport: Barycenter Optimization and Convergence Analysis
152. ICLR 2026Soft Quality-Diversity Optimization
153. ICLR 2026SparseEval: Efficient Evaluation of Large Language Models by Sparse Optimization
154. ICLR 2026Special Unitary Parameterized Estimators of Rotation
155. ICLR 2026SPRIG: Improving Large Language Model Performance by System Prompt Optimization
156. ICLR 2026Stop Guessing: Choosing the Optimization-Consistent Uncertainty Measurement for Evidential Deep Learning
157. ICLR 2026Strong Correlations Induce Cause Only Predictions in Transformer Training
158. ICLR 2026Strongly Convex Sets in Riemannian Manifolds
159. ICLR 2026Submodular Function Minimization with Dueling Oracle
160. ICLR 2026SVD Provably Denoises Nearest Neighbor Data
161. ICLR 2026Symmetry-Aware Bayesian Optimization via Max Kernels
162. ICLR 2026Taming Score-Based Denoisers in ADMM: A Convergent Plug-and-Play Framework
163. ICLR 2026TAO-Attack: Toward Advanced Optimization-Based Jailbreak Attacks for Large Language Models
164. ICLR 2026Task-free Adaptive Meta Black-box Optimization
165. ICLR 2026The Potential of Second-Order Optimization for LLMs: A Study with Full Gauss-Newton
166. ICLR 2026Token-Importance Guided Direct Preference Optimization
167. ICLR 2026Towards Dynamic Interleaving Optimizers
168. ICLR 2026Towards Learned Optimization Free Lunch
169. ICLR 2026Towards Real-World Routing with Neural Combinatorial Optimization
170. ICLR 2026Understanding and improving Shampoo and SOAP via Kullback-Leibler Minimization
171. ICLR 2026Uni-DPO: A Unified Paradigm for Dynamic Preference Optimization of LLMs
172. ICLR 2026Unified Analyses for Hierarchical Federated Learning: Topology Selection under Data Heterogeneity
173. ICLR 2026Unifying Formal Explanations: A Complexity-Theoretic Perspective
174. ICLR 2026Unifying Stable Optimization and Reference Regularization in RLHF
175. ICLR 2026Unlocking the Potential of Weighting Methods in Federated Learning Through Communication Compression
176. ICLR 2026Why DPO is a Misspecified Estimator and How to Fix It
177. ICLR 2026WILD-Diffusion: A WDRO Inspired Training Method for Diffusion Models under Limited Data
178. ICLR 2026XQC: Well-conditioned Optimization Accelerates Deep Reinforcement Learning

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.