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 12 / 20 页

  1. NeurIPS 2024An effective framework for estimating individualized treatment rules
  2. NeurIPS 2024An Improved Empirical Fisher Approximation for Natural Gradient Descent
  3. NeurIPS 2024Analyzing & Reducing the Need for Learning Rate Warmup in GPT Training
  4. NeurIPS 2024Approximating the Top Eigenvector in Random Order Streams
  5. NeurIPS 2024Autoregressive Policy Optimization for Constrained Allocation Tasks
  6. NeurIPS 2024B-ary Tree Push-Pull Method is Provably Efficient for Distributed Learning on Heterogeneous Data
  7. NeurIPS 2024BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models
  8. NeurIPS 2024Bayesian Nonparametrics Meets Data-Driven Distributionally Robust Optimization
  9. NeurIPS 2024Bayesian Optimization of Functions over Node Subsets in Graphs
  10. NeurIPS 2024Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime
  11. NeurIPS 2024Benign overfitting in leaky ReLU networks with moderate input dimension
  12. NeurIPS 2024Binary Search with Distributional Predictions
  13. NeurIPS 2024BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning
  14. NeurIPS 2024Byzantine Robustness and Partial Participation Can Be Achieved at Once: Just Clip Gradient Differences
  15. NeurIPS 2024Can Learned Optimization Make Reinforcement Learning Less Difficult?
  16. NeurIPS 2024CoBo: Collaborative Learning via Bilevel Optimization
  17. NeurIPS 2024Communication Efficient Distributed Training with Distributed Lion
  18. NeurIPS 2024Communication-Efficient Federated Group Distributionally Robust Optimization
  19. NeurIPS 2024Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models
  20. NeurIPS 2024Conformal Inverse Optimization
  21. NeurIPS 2024Constrained Binary Decision Making
  22. NeurIPS 2024Constrained Diffusion Models via Dual Training
  23. NeurIPS 2024Contextual Linear Optimization with Bandit Feedback
  24. NeurIPS 2024Controlling Continuous Relaxation for Combinatorial Optimization
  25. NeurIPS 2024Convergence Analysis of Split Federated Learning on Heterogeneous Data
  26. NeurIPS 2024Convolutions and More as Einsum: A Tensor Network Perspective with Advances for Second-Order Methods
  27. NeurIPS 2024CRAYM: Neural Field Optimization via Camera RAY Matching
  28. NeurIPS 2024Decision-Focused Learning with Directional Gradients
  29. NeurIPS 2024Deep Learning for Computing Convergence Rates of Markov Chains
  30. NeurIPS 2024Deep linear networks for regression are implicitly regularized towards flat minima
  31. NeurIPS 2024DePLM: Denoising Protein Language Models for Property Optimization
  32. NeurIPS 2024Derivatives of Stochastic Gradient Descent in parametric optimization
  33. NeurIPS 2024DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization
  34. NeurIPS 2024Diffeomorphic interpolation for efficient persistence-based topological optimization
  35. NeurIPS 2024Differentially Private Optimization with Sparse Gradients
  36. NeurIPS 2024Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization
  37. NeurIPS 2024DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization
  38. NeurIPS 2024Direct Preference-Based Evolutionary Multi-Objective Optimization with Dueling Bandits
  39. NeurIPS 2024Directional Smoothness and Gradient Methods: Convergence and Adaptivity
  40. NeurIPS 2024Discovering Preference Optimization Algorithms with and for Large Language Models
  41. NeurIPS 2024Discretely beyond $1/e$: Guided Combinatorial Algortihms for Submodular Maximization
  42. NeurIPS 2024Disentangling Linear Quadratic Control with Untrusted ML Predictions
  43. NeurIPS 2024Don't Compress Gradients in Random Reshuffling: Compress Gradient Differences
  44. NeurIPS 2024Drago: Primal-Dual Coupled Variance Reduction for Faster Distributionally Robust Optimization
  45. NeurIPS 2024Dual Lagrangian Learning for Conic Optimization
  46. NeurIPS 2024Dual-frame Fluid Motion Estimation with Test-time Optimization and Zero-divergence Loss
  47. NeurIPS 2024e-COP : Episodic Constrained Optimization of Policies
  48. NeurIPS 2024Efficient Combinatorial Optimization via Heat Diffusion
  49. NeurIPS 2024Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability
  50. NeurIPS 2024Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimization

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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