非凸优化论文趋势 2023–2026

收敛与 landscape

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 2,330 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

非凸优化论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
2023154799815346
202427510716018560
202527917719219667
202625017828643757

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

全部非凸优化论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 958 篇，第 14 / 20 页

  1. NeurIPS 2024IPM-LSTM: A Learning-Based Interior Point Method for Solving Nonlinear Programs
  2. NeurIPS 2024Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?
  3. NeurIPS 2024John Ellipsoids via Lazy Updates
  4. NeurIPS 2024Large Stepsize Gradient Descent for Non-Homogeneous Two-Layer Networks: Margin Improvement and Fast Optimization
  5. NeurIPS 2024Last-Iterate Convergence for Generalized Frank-Wolfe in Monotone Variational Inequalities
  6. NeurIPS 2024Learnability of high-dimensional targets by two-parameter models and gradient flow
  7. NeurIPS 2024Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise
  8. NeurIPS 2024Learning and Transferring Sparse Contextual Bigrams with Linear Transformers
  9. NeurIPS 2024Learning Cut Generating Functions for Integer Programming
  10. NeurIPS 2024Learning Elastic Costs to Shape Monge Displacements
  11. NeurIPS 2024Learning from Noisy Labels via Conditional Distributionally Robust Optimization
  12. NeurIPS 2024Learning Generalized Linear Programming Value Functions
  13. NeurIPS 2024Learning to Solve Quadratic Unconstrained Binary Optimization in a Classification Way
  14. NeurIPS 2024Learning with Fitzpatrick Losses
  15. NeurIPS 2024Learning-Augmented Dynamic Submodular Maximization
  16. NeurIPS 2024Length Optimization in Conformal Prediction
  17. NeurIPS 2024LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch
  18. NeurIPS 2024Linear Transformers are Versatile In-Context Learners
  19. NeurIPS 2024Localized Zeroth-Order Prompt Optimization
  20. NeurIPS 2024Loss Landscape Characterization of Neural Networks without Over-Parametrization
  21. NeurIPS 2024Lower Bounds and Optimal Algorithms for Non-Smooth Convex Decentralized Optimization over Time-Varying Networks
  22. NeurIPS 2024Lower Bounds of Uniform Stability in Gradient-Based Bilevel Algorithms for Hyperparameter Optimization
  23. NeurIPS 2024Make Continual Learning Stronger via C-Flat
  24. NeurIPS 2024Markov Equivalence and Consistency in Differentiable Structure Learning
  25. NeurIPS 2024Mean-Field Langevin Dynamics for Signed Measures via a Bilevel Approach
  26. NeurIPS 2024Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization
  27. NeurIPS 2024Metrizing Weak Convergence with Maximum Mean Discrepancies
  28. NeurIPS 2024MG-Net: Learn to Customize QAOA with Circuit Depth Awareness
  29. NeurIPS 2024MicroAdam: Accurate Adaptive Optimization with Low Space Overhead and Provable Convergence
  30. NeurIPS 2024Minimizing UCB: a Better Local Search Strategy in Local Bayesian Optimization
  31. NeurIPS 2024MiSO: Optimizing brain stimulation to create neural activity states
  32. NeurIPS 2024Model Fusion through Bayesian Optimization in Language Model Fine-Tuning
  33. NeurIPS 2024MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts
  34. NeurIPS 2024Monte Carlo Tree Search based Space Transfer for Black Box Optimization
  35. NeurIPS 2024Multidimensional Fractional Programming for Normalized Cuts
  36. NeurIPS 2024Near-Optimal Distributed Minimax Optimization under the Second-Order Similarity
  37. NeurIPS 2024Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGD
  38. NeurIPS 2024Nearly Minimax Optimal Submodular Maximization with Bandit Feedback
  39. NeurIPS 2024Neur2BiLO: Neural Bilevel Optimization
  40. NeurIPS 2024Neural Characteristic Activation Analysis and Geometric Parameterization for ReLU Networks
  41. NeurIPS 2024Neural Combinatorial Optimization for Robust Routing Problem with Uncertain Travel Times
  42. NeurIPS 2024Neural Network Reparametrization for Accelerated Optimization in Molecular Simulations
  43. NeurIPS 2024No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO
  44. NeurIPS 2024Non-asymptotic Global Convergence Analysis of BFGS with the Armijo-Wolfe Line Search
  45. NeurIPS 2024Non-geodesically-convex optimization in the Wasserstein space
  46. NeurIPS 2024Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data
  47. NeurIPS 2024Normalization and effective learning rates in reinforcement learning
  48. NeurIPS 2024Normalization Layer Per-Example Gradients are Sufficient to Predict Gradient Noise Scale in Transformers
  49. NeurIPS 2024On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions
  50. NeurIPS 2024On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability

在 Claude、Cursor 里直接问这个趋势

接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。

可以直接复制这句话问 AI

用 paperlist 查非凸优化在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？

AI 会调用的工具：get_topic_stats {"topic": "nonconvex-optimization"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

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。

「优化与缩放」下的其他主题