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 346 篇，第 2 / 7 页

51. ICLR 2023Globally Optimal Training of Neural Networks with Threshold Activation Functions
52. ICLR 2023Graph-based Deterministic Policy Gradient for Repetitive Combinatorial Optimization Problems
53. ICLR 2023Guarded Policy Optimization with Imperfect Online Demonstrations
54. ICLR 2023Hyperparameter Optimization through Neural Network Partitioning
55. ICLR 2023Implicit Bias in Leaky ReLU Networks Trained on High-Dimensional Data
56. ICLR 2023Improved Convergence of Differential Private SGD with Gradient Clipping
57. ICLR 2023Improving Object-centric Learning with Query Optimization
58. ICLR 2023Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization
59. ICLR 2023Loss Landscapes are All You Need: Neural Network Generalization Can Be Explained Without the Implicit Bias of Gradient Descent
60. ICLR 2023Mind the Gap: Offline Policy Optimization for Imperfect Rewards
61. ICLR 2023Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Approach
62. ICLR 2023Model-based Causal Bayesian Optimization
63. ICLR 2023Multi-objective optimization via equivariant deep hypervolume approximation
64. ICLR 2023Noise Is Not the Main Factor Behind the Gap Between Sgd and Adam on Transformers, But Sign Descent Might Be
65. ICLR 2023On amortizing convex conjugates for optimal transport
66. ICLR 2023On the Convergence of AdaGrad(Norm) on $\mathbb{R}^d$: Beyond Convexity, Non-Asymptotic Rate and Acceleration
67. ICLR 2023Over-parameterized Model Optimization with Polyak-{\L}ojasiewicz Condition
68. ICLR 2023Parallel Deep Neural Networks Have Zero Duality Gap
69. ICLR 2023Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization
70. ICLR 2023Population-size-Aware Policy Optimization for Mean-Field Games
71. ICLR 2023Predictor-corrector algorithms for stochastic optimization under gradual distribution shift
72. ICLR 2023Projective Proximal Gradient Descent for Nonconvex Nonsmooth Optimization: Fast Convergence Without Kurdyka-Lojasiewicz (KL) Property
73. ICLR 2023RandProx: Primal-Dual Optimization Algorithms with Randomized Proximal Updates
74. ICLR 2023Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization
75. ICLR 2023Restricted Strong Convexity of Deep Learning Models with Smooth Activations
76. ICLR 2023Robust Scheduling with GFlowNets
77. ICLR 2023Semi-Implicit Variational Inference via Score Matching
78. ICLR 2023SGDA with shuffling: faster convergence for nonconvex-PŁ minimax optimization
79. ICLR 2023Single-shot General Hyper-parameter Optimization for Federated Learning
80. ICLR 2023Solving stochastic weak Minty variational inequalities without increasing batch size
81. ICLR 2023Stochastic Differentially Private and Fair Learning
82. ICLR 2023SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication
83. ICLR 2023Targeted Hyperparameter Optimization with Lexicographic Preferences Over Multiple Objectives
84. ICLR 2023The Symmetric Generalized Eigenvalue Problem as a Nash Equilibrium
85. ICLR 2023TiAda: A Time-scale Adaptive Algorithm for Nonconvex Minimax Optimization
86. ICLR 2023Topology-aware Robust Optimization for Out-of-Distribution Generalization
87. ICLR 2023Towards convergence to Nash equilibria in two-team zero-sum games
88. ICLR 2023Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions
89. ICLR 2023Understanding Edge-of-Stability Training Dynamics with a Minimalist Example
90. ICLR 2023Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization
91. ICLR 2023Unsupervised Learning for Combinatorial Optimization Needs Meta Learning
92. ICLR 2023What Is Missing in IRM Training and Evaluation? Challenges and Solutions
93. ICLR 2023Win: Weight-Decay-Integrated Nesterov Acceleration for Adaptive Gradient Algorithms
94. ICLR 2023Zeroth-Order Optimization with Trajectory-Informed Derivative Estimation
95. ICML 2023A Distribution Optimization Framework for Confidence Bounds of Risk Measures
96. ICML 2023A Fully First-Order Method for Stochastic Bilevel Optimization
97. ICML 2023A Theoretical Analysis of the Learning Dynamics under Class Imbalance
98. ICML 2023Accelerated Cyclic Coordinate Dual Averaging with Extrapolation for Composite Convex Optimization
99. ICML 2023Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point Iterations
100. ICML 2023Accelerated Stochastic Optimization Methods under Quasar-convexity

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。