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 36 / 47 页

  1. NeurIPS 2024Constrained Binary Decision Making
  2. NeurIPS 2024Constrained Diffusion Models via Dual Training
  3. NeurIPS 2024Contextual Linear Optimization with Bandit Feedback
  4. NeurIPS 2024Controlling Continuous Relaxation for Combinatorial Optimization
  5. NeurIPS 2024Convergence Analysis of Split Federated Learning on Heterogeneous Data
  6. NeurIPS 2024Convolutions and More as Einsum: A Tensor Network Perspective with Advances for Second-Order Methods
  7. NeurIPS 2024CRAYM: Neural Field Optimization via Camera RAY Matching
  8. NeurIPS 2024Decision-Focused Learning with Directional Gradients
  9. NeurIPS 2024Deep Learning for Computing Convergence Rates of Markov Chains
  10. NeurIPS 2024Deep linear networks for regression are implicitly regularized towards flat minima
  11. NeurIPS 2024DePLM: Denoising Protein Language Models for Property Optimization
  12. NeurIPS 2024Derivatives of Stochastic Gradient Descent in parametric optimization
  13. NeurIPS 2024DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization
  14. NeurIPS 2024Diffeomorphic interpolation for efficient persistence-based topological optimization
  15. NeurIPS 2024Differentially Private Optimization with Sparse Gradients
  16. NeurIPS 2024Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization
  17. NeurIPS 2024DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization
  18. NeurIPS 2024Direct Preference-Based Evolutionary Multi-Objective Optimization with Dueling Bandits
  19. NeurIPS 2024Directional Smoothness and Gradient Methods: Convergence and Adaptivity
  20. NeurIPS 2024Discovering Preference Optimization Algorithms with and for Large Language Models
  21. NeurIPS 2024Discretely beyond $1/e$: Guided Combinatorial Algortihms for Submodular Maximization
  22. NeurIPS 2024Disentangling Linear Quadratic Control with Untrusted ML Predictions
  23. NeurIPS 2024Don't Compress Gradients in Random Reshuffling: Compress Gradient Differences
  24. NeurIPS 2024Drago: Primal-Dual Coupled Variance Reduction for Faster Distributionally Robust Optimization
  25. NeurIPS 2024Dual Lagrangian Learning for Conic Optimization
  26. NeurIPS 2024Dual-frame Fluid Motion Estimation with Test-time Optimization and Zero-divergence Loss
  27. NeurIPS 2024e-COP : Episodic Constrained Optimization of Policies
  28. NeurIPS 2024Efficient Combinatorial Optimization via Heat Diffusion
  29. NeurIPS 2024Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability
  30. NeurIPS 2024Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimization
  31. NeurIPS 2024Efficient Prompt Optimization Through the Lens of Best Arm Identification
  32. NeurIPS 2024Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction
  33. NeurIPS 2024EffiLearner: Enhancing Efficiency of Generated Code via Self-Optimization
  34. NeurIPS 2024Emergence of heavy tails in homogenized stochastic gradient descent
  35. NeurIPS 2024Exact, Tractable Gauss-Newton Optimization in Deep Reversible Architectures Reveal Poor Generalization
  36. NeurIPS 2024Exploring Fixed Point in Image Editing: Theoretical Support and Convergence Optimization
  37. NeurIPS 2024Exploring Jacobian Inexactness in Second-Order Methods for Variational Inequalities: Lower Bounds, Optimal Algorithms and Quasi-Newton Approximations
  38. NeurIPS 2024Fair Wasserstein Coresets
  39. NeurIPS 2024Fast Rates in Stochastic Online Convex Optimization by Exploiting the Curvature of Feasible Sets
  40. NeurIPS 2024Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement Learning
  41. NeurIPS 2024Faster Accelerated First-order Methods for Convex Optimization with Strongly Convex Function Constraints
  42. NeurIPS 2024Faster Algorithms for User-Level Private Stochastic Convex Optimization
  43. NeurIPS 2024FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models
  44. NeurIPS 2024Federated Learning under Periodic Client Participation and Heterogeneous Data: A New Communication-Efficient Algorithm and Analysis
  45. NeurIPS 2024Finding Transformer Circuits With Edge Pruning
  46. NeurIPS 2024Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random
  47. NeurIPS 2024First-Order Methods for Linearly Constrained Bilevel Optimization
  48. NeurIPS 2024First-Order Minimax Bilevel Optimization
  49. NeurIPS 2024Freya PAGE: First Optimal Time Complexity for Large-Scale Nonconvex Finite-Sum Optimization with Heterogeneous Asynchronous Computations
  50. NeurIPS 2024Functional Bilevel Optimization for Machine Learning

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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