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 30 / 47 页

  1. ICLR 2024Accelerated Convergence of Stochastic Heavy Ball Method under Anisotropic Gradient Noise
  2. ICLR 2024Accelerating Distributed Stochastic Optimization via Self-Repellent Random Walks
  3. ICLR 2024Accelerating Sinkhorn algorithm with sparse Newton iterations
  4. ICLR 2024Adversarial Causal Bayesian Optimization
  5. ICLR 2024An improved analysis of per-sample and per-update clipping in federated learning
  6. ICLR 2024Backdoor Contrastive Learning via Bi-level Trigger Optimization
  7. ICLR 2024Balancing Act: Constraining Disparate Impact in Sparse Models
  8. ICLR 2024Bayesian Coreset Optimization for Personalized Federated Learning
  9. ICLR 2024Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data
  10. ICLR 2024Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints
  11. ICLR 2024Bilevel Optimization under Unbounded Smoothness: A New Algorithm and Convergence Analysis
  12. ICLR 2024Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning and Autoregression
  13. ICLR 2024CO2: Efficient Distributed Training with Full Communication-Computation Overlap
  14. ICLR 2024Combining Axes Preconditioners through Kronecker Approximation for Deep Learning
  15. ICLR 2024Communication-Efficient Federated Non-Linear Bandit Optimization
  16. ICLR 2024Constrained Bi-Level Optimization: Proximal Lagrangian Value Function Approach and Hessian-free Algorithm
  17. ICLR 2024Constraint-Free Structure Learning with Smooth Acyclic Orientations
  18. ICLR 2024Convergence of Bayesian Bilevel Optimization
  19. ICLR 2024Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold
  20. ICLR 2024DeepZero: Scaling Up Zeroth-Order Optimization for Deep Model Training
  21. ICLR 2024Det-CGD: Compressed Gradient Descent with Matrix Stepsizes for Non-Convex Optimization
  22. ICLR 2024Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy
  23. ICLR 2024Distributionally Robust Optimization with Bias and Variance Reduction
  24. ICLR 2024Doubly Robust Instance-Reweighted Adversarial Training
  25. ICLR 2024Dropout Enhanced Bilevel Training
  26. ICLR 2024EControl: Fast Distributed Optimization with Compression and Error Control
  27. ICLR 2024Efficient Continual Finite-Sum Minimization
  28. ICLR 2024Error Feedback Reloaded: From Quadratic to Arithmetic Mean of Smoothness Constants
  29. ICLR 2024f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization
  30. ICLR 2024Fast Equilibrium of SGD in Generic Situations
  31. ICLR 2024FedDA: Faster Adaptive Gradient Methods for Federated Constrained Optimization
  32. ICLR 2024Flag Aggregator: Scalable Distributed Training under Failures and Augmented Losses using Convex Optimization
  33. ICLR 2024Flat Minima in Linear Estimation and an Extended Gauss Markov Theorem
  34. ICLR 2024FOSI: Hybrid First and Second Order Optimization
  35. ICLR 2024Global Optimality for Non-linear Constrained Restoration Problems via Invexity
  36. ICLR 2024Gradual Optimization Learning for Conformational Energy Minimization
  37. ICLR 2024Group Preference Optimization: Few-Shot Alignment of Large Language Models
  38. ICLR 2024How Over-Parameterization Slows Down Gradient Descent in Matrix Sensing: The Curses of Symmetry and Initialization
  39. ICLR 2024Implicit Maximum a Posteriori Filtering via Adaptive Optimization
  40. ICLR 2024Implicit regularization of deep residual networks towards neural ODEs
  41. ICLR 2024Improving Convergence and Generalization Using Parameter Symmetries
  42. ICLR 2024Improving protein optimization with smoothed fitness landscapes
  43. ICLR 2024Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach
  44. ICLR 2024L2P-MIP: Learning to Presolve for Mixed Integer Programming
  45. ICLR 2024Language Model Decoding as Direct Metrics Optimization
  46. ICLR 2024Large Language Models to Enhance Bayesian Optimization
  47. ICLR 2024Learning model uncertainty as variance-minimizing instance weights
  48. ICLR 2024Learning to solve Class-Constrained Bin Packing Problems via Encoder-Decoder Model
  49. ICLR 2024Leveraging augmented-Lagrangian techniques for differentiating over infeasible quadratic programs in machine learning
  50. ICLR 2024Light-MILPopt: Solving Large-scale Mixed Integer Linear Programs with Lightweight Optimizer and Small-scale Training Dataset

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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