非凸优化论文趋势 2023–2026

主要结论

• 非凸优化论文从 2023 年的 346 篇增长到 2026 年的 757 篇，三年间扩大到约 2.2 倍。
• NeurIPS 是发非凸优化论文最多的会议，2023–2026 年共 958 篇，占四个会议总量的 41%。
• 交叉方向里涨得最快的是扩散模型：同时属于两个主题的论文从 2023 年的 2 篇增至 2026 年的 44 篇。
• 在「优化与缩放」的 5 个主题里，它的 2026 年论文数排第 2；同组增长最快的缩放定律是 4.1 倍，非凸优化是 2.2 倍。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• 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

全部非凸优化论文

共 560 篇，第 3 / 12 页

101. ICLR 2024Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How
102. ICLR 2024Random Sparse Lifts: Construction, Analysis and Convergence of finite sparse networks
103. ICLR 2024Relaxing the Additivity Constraints in Decentralized No-Regret High-Dimensional Bayesian Optimization
104. ICLR 2024Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework
105. ICLR 2024Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization
106. ICLR 2024Revisiting the Last-Iterate Convergence of Stochastic Gradient Methods
107. ICLR 2024Robust Model-Based Optimization for Challenging Fitness Landscapes
108. ICLR 2024Scaling Convex Neural Networks with Burer-Monteiro Factorization
109. ICLR 2024SGD Finds then Tunes Features in Two-Layer Neural Networks with near-Optimal Sample Complexity: A Case Study in the XOR problem
110. ICLR 2024Simple Minimax Optimal Byzantine Robust Algorithm for Nonconvex Objectives with Uniform Gradient Heterogeneity
111. ICLR 2024Small-scale proxies for large-scale Transformer training instabilities
112. ICLR 2024Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training
113. ICLR 2024Statistical Rejection Sampling Improves Preference Optimization
114. ICLR 2024Submodular Reinforcement Learning
115. ICLR 2024Symmetric Mean-field Langevin Dynamics for Distributional Minimax Problems
116. ICLR 2024Tackling the Data Heterogeneity in Asynchronous Federated Learning with Cached Update Calibration
117. ICLR 2024Tensor Programs VI: Feature Learning in Infinite Depth Neural Networks
118. ICLR 2024The importance of feature preprocessing for differentially private linear optimization
119. ICLR 2024The Marginal Value of Momentum for Small Learning Rate SGD
120. ICLR 2024Topic Modeling as Multi-Objective Contrastive Optimization
121. ICLR 2024Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion
122. ICLR 2024Two-timescale Extragradient for Finding Local Minimax Points
123. ICLR 2024Variance Reduced Halpern Iteration for Finite-Sum Monotone Inclusions
124. ICLR 2024Weaker MVI Condition: Extragradient Methods with Multi-Step Exploration
125. ICLR 2024What Makes a Good Prune? Maximal Unstructured Pruning for Maximal Cosine Similarity
126. ICML 2024A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization
127. ICML 2024A Doubly Recursive Stochastic Compositional Gradient Descent Method for Federated Multi-Level Compositional Optimization
128. ICML 2024A Geometric Decomposition of Finite Games: Convergence vs. Recurrence under Exponential Weights
129. ICML 2024A Global Geometric Analysis of Maximal Coding Rate Reduction
130. ICML 2024A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
131. ICML 2024A New Linear Scaling Rule for Private Adaptive Hyperparameter Optimization
132. ICML 2024A New Theoretical Perspective on Data Heterogeneity in Federated Optimization
133. ICML 2024A Study of First-Order Methods with a Deterministic Relative-Error Gradient Oracle
134. ICML 2024A Universal Transfer Theorem for Convex Optimization Algorithms Using Inexact First-order Oracles
135. ICML 2024Absolute Policy Optimization: Enhancing Lower Probability Bound of Performance with High Confidence
136. ICML 2024Accelerated Algorithms for Constrained Nonconvex-Nonconcave Min-Max Optimization and Comonotone Inclusion
137. ICML 2024Accelerating Convergence of Score-Based Diffusion Models, Provably
138. ICML 2024Accelerating Look-ahead in Bayesian Optimization: Multilevel Monte Carlo is All you Need
139. ICML 2024ACPO: A Policy Optimization Algorithm for Average MDPs with Constraints
140. ICML 2024Activation-Descent Regularization for Input Optimization of ReLU Networks
141. ICML 2024Adaptive-Gradient Policy Optimization: Enhancing Policy Learning in Non-Smooth Differentiable Simulations
142. ICML 2024Advancing Dynamic Sparse Training by Exploring Optimization Opportunities
143. ICML 2024An Iterative Min-Min Optimization Method for Sparse Bayesian Learning
144. ICML 2024An Online Optimization Perspective on First-Order and Zero-Order Decentralized Nonsmooth Nonconvex Stochastic Optimization
145. ICML 2024Autonomous Sparse Mean-CVaR Portfolio Optimization
146. ICML 2024Barrier Algorithms for Constrained Non-Convex Optimization
147. ICML 2024Bayesian Optimization of Function Networks with Partial Evaluations
148. ICML 2024Best of Both Worlds Guarantees for Smoothed Online Quadratic Optimization
149. ICML 2024Bias of Stochastic Gradient Descent or the Architecture: Disentangling the Effects of Overparameterization of Neural Networks
150. ICML 2024BLO-SAM: Bi-level Optimization Based Finetuning of the Segment Anything Model for Overfitting-Preventing Semantic Segmentation

常见问题

2023–2026 年四大会议一共有多少篇非凸优化论文？

共 2,330 篇，按年份分别是 2023 年 346 篇、2024 年 560 篇、2025 年 667 篇、2026 年 757 篇。

NeurIPS 2026 有多少篇非凸优化论文？

NeurIPS 2026 有 250 篇非凸优化论文，上一届是 279 篇。

ICLR 2026 有多少篇非凸优化论文？

ICLR 2026 有 178 篇非凸优化论文，上一届是 177 篇。

ICML 2026 有多少篇非凸优化论文？

ICML 2026 有 286 篇非凸优化论文，上一届是 192 篇。

CVPR 2026 有多少篇非凸优化论文？

CVPR 2026 有 43 篇非凸优化论文，上一届是 19 篇。

哪个会议的非凸优化论文最多？

NeurIPS，2023–2026 年共 958 篇。