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 2,330 篇，第 38 / 47 页

  1. NeurIPS 2024Lower Bounds and Optimal Algorithms for Non-Smooth Convex Decentralized Optimization over Time-Varying Networks
  2. NeurIPS 2024Lower Bounds of Uniform Stability in Gradient-Based Bilevel Algorithms for Hyperparameter Optimization
  3. NeurIPS 2024Make Continual Learning Stronger via C-Flat
  4. NeurIPS 2024Markov Equivalence and Consistency in Differentiable Structure Learning
  5. NeurIPS 2024Mean-Field Langevin Dynamics for Signed Measures via a Bilevel Approach
  6. NeurIPS 2024Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization
  7. NeurIPS 2024Metrizing Weak Convergence with Maximum Mean Discrepancies
  8. NeurIPS 2024MG-Net: Learn to Customize QAOA with Circuit Depth Awareness
  9. NeurIPS 2024MicroAdam: Accurate Adaptive Optimization with Low Space Overhead and Provable Convergence
  10. NeurIPS 2024Minimizing UCB: a Better Local Search Strategy in Local Bayesian Optimization
  11. NeurIPS 2024MiSO: Optimizing brain stimulation to create neural activity states
  12. NeurIPS 2024Model Fusion through Bayesian Optimization in Language Model Fine-Tuning
  13. NeurIPS 2024MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts
  14. NeurIPS 2024Monte Carlo Tree Search based Space Transfer for Black Box Optimization
  15. NeurIPS 2024Multidimensional Fractional Programming for Normalized Cuts
  16. NeurIPS 2024Near-Optimal Distributed Minimax Optimization under the Second-Order Similarity
  17. NeurIPS 2024Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGD
  18. NeurIPS 2024Nearly Minimax Optimal Submodular Maximization with Bandit Feedback
  19. NeurIPS 2024Neur2BiLO: Neural Bilevel Optimization
  20. NeurIPS 2024Neural Characteristic Activation Analysis and Geometric Parameterization for ReLU Networks
  21. NeurIPS 2024Neural Combinatorial Optimization for Robust Routing Problem with Uncertain Travel Times
  22. NeurIPS 2024Neural Network Reparametrization for Accelerated Optimization in Molecular Simulations
  23. NeurIPS 2024No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO
  24. NeurIPS 2024Non-asymptotic Global Convergence Analysis of BFGS with the Armijo-Wolfe Line Search
  25. NeurIPS 2024Non-geodesically-convex optimization in the Wasserstein space
  26. NeurIPS 2024Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data
  27. NeurIPS 2024Normalization and effective learning rates in reinforcement learning
  28. NeurIPS 2024Normalization Layer Per-Example Gradients are Sufficient to Predict Gradient Noise Scale in Transformers
  29. NeurIPS 2024On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions
  30. NeurIPS 2024On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability
  31. NeurIPS 2024On the Optimal Time Complexities in Decentralized Stochastic Asynchronous Optimization
  32. NeurIPS 2024Online Composite Optimization Between Stochastic and Adversarial Environments
  33. NeurIPS 2024OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations
  34. NeurIPS 2024Optimal Algorithms for Online Convex Optimization with Adversarial Constraints
  35. NeurIPS 2024Optimal Scalarizations for Sublinear Hypervolume Regret
  36. NeurIPS 2024Optimization Algorithm Design via Electric Circuits
  37. NeurIPS 2024Optimization Can Learn Johnson Lindenstrauss Embeddings
  38. NeurIPS 2024Optimizing over Multiple Distributions under Generalized Quasar-Convexity Condition
  39. NeurIPS 2024Ordered Momentum for Asynchronous SGD
  40. NeurIPS 2024OT4P: Unlocking Effective Orthogonal Group Path for Permutation Relaxation
  41. NeurIPS 2024Outlier-Robust Distributionally Robust Optimization via Unbalanced Optimal Transport
  42. NeurIPS 2024Parameter-free Clipped Gradient Descent Meets Polyak
  43. NeurIPS 2024Penalty-based Methods for Simple Bilevel Optimization under Hölderian Error Bounds
  44. NeurIPS 2024Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization
  45. NeurIPS 2024Policy Mirror Descent with Lookahead
  46. NeurIPS 2024Policy Optimization for Robust Average Reward MDPs
  47. NeurIPS 2024Practical $0.385$-Approximation for Submodular Maximization Subject to a Cardinality Constraint
  48. NeurIPS 2024Private Geometric Median
  49. NeurIPS 2024Private Stochastic Convex Optimization with Heavy Tails: Near-Optimality from Simple Reductions
  50. NeurIPS 2024Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars

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。

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