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 667 篇，第 9 / 14 页

  1. NeurIPS 2025A Stable Whitening Optimizer for Efficient Neural Network Training
  2. NeurIPS 2025A Tale of Two Symmetries: Exploring the Loss Landscape of Equivariant Models
  3. NeurIPS 2025A Unified Analysis of Stochastic Gradient Descent with Arbitrary Data Permutations and Beyond
  4. NeurIPS 2025A Unified Stability Analysis of SAM vs SGD: Role of Data Coherence and Emergence of Simplicity Bias
  5. NeurIPS 2025Accelerated Distance-adaptive Methods for Hölder Smooth and Convex Optimization
  6. NeurIPS 2025Accelerating Model-Free Optimization via Averaging of Cost Samples
  7. NeurIPS 2025Accelerating Optimization via Differentiable Stopping Time
  8. NeurIPS 2025Ada-R1: Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization
  9. NeurIPS 2025Adaptive Algorithms with Sharp Convergence Rates for Stochastic Hierarchical Optimization
  10. NeurIPS 2025Adaptive Riemannian ADMM for Nonsmooth Optimization: Optimal Complexity without Smoothing
  11. NeurIPS 2025Advancing Expert Specialization for Better MoE
  12. NeurIPS 2025Adversary Aware Optimization for Robust Defense
  13. NeurIPS 2025Affine-Invariant Global Non-Asymptotic Convergence Analysis of BFGS under Self-Concordance
  14. NeurIPS 2025An Adaptive Algorithm for Bilevel Optimization on Riemannian Manifolds
  15. NeurIPS 2025An Ellipsoid Algorithm for Online Convex Optimization
  16. NeurIPS 2025Any-stepsize Gradient Descent for Separable Data under Fenchel–Young Losses
  17. NeurIPS 2025ARECHO: Autoregressive Evaluation via Chain-Based Hypothesis Optimization for Speech Multi-Metric Estimation
  18. NeurIPS 2025ASGO: Adaptive Structured Gradient Optimization
  19. NeurIPS 2025Attention-based clustering
  20. NeurIPS 2025Auto-Connect: Connectivity-Preserving RigFormer with Direct Preference Optimization
  21. NeurIPS 2025Autoencoding Random Forests
  22. NeurIPS 2025Balanced Token Pruning: Accelerating Vision Language Models Beyond Local Optimization
  23. NeurIPS 2025Balancing Gradient and Hessian Queries in Non-Convex Optimization
  24. NeurIPS 2025Bayesian Optimization with Preference Exploration using a Monotonic Neural Network Ensemble
  25. NeurIPS 2025BayeSQP: Bayesian Optimization through Sequential Quadratic Programming
  26. NeurIPS 2025Beyond $\tilde{O}(\sqrt{T})$ Constraint Violation for Online Convex Optimization with Adversarial Constraints
  27. NeurIPS 2025Beyond Random: Automatic Inner-loop Optimization in Dataset Distillation
  28. NeurIPS 2025Beyond Value Functions: Single-Loop Bilevel Optimization under Flatness Conditions
  29. NeurIPS 2025Bilevel Optimization for Adversarial Learning Problems: Sharpness, Generation, and Beyond
  30. NeurIPS 2025Boosting Resilience of Large Language Models through Causality-Driven Robust Optimization
  31. NeurIPS 2025Bootstrap Your Uncertainty: Adaptive Robust Classification Driven by Optimal-Transport
  32. NeurIPS 2025Breaking the Frozen Subspace: Importance Sampling for Low-Rank Optimization in LLM Pretraining
  33. NeurIPS 2025BundleFlow: Deep Menus for Combinatorial Auctions by Diffusion-Based Optimization
  34. NeurIPS 2025CAMO: Convergence-Aware Multi-Fidelity Bayesian Optimization
  35. NeurIPS 2025CHPO: Constrained Hybrid-action Policy Optimization for Reinforcement Learning
  36. NeurIPS 2025CoIDO: Efficient Data Selection for Visual Instruction Tuning via Coupled Importance-Diversity Optimization
  37. NeurIPS 2025Complexity Scaling Laws for Neural Models using Combinatorial Optimization
  38. NeurIPS 2025ComPO: Preference Alignment via Comparison Oracles
  39. NeurIPS 2025Conditional Gradient Methods with Standard LMO for Stochastic Simple Bilevel Optimization
  40. NeurIPS 2025Conformal Prediction in The Loop: A Feedback-Based Uncertainty Model for Trajectory Optimization
  41. NeurIPS 2025Conformal Risk Training: End-to-End Optimization of Conformal Risk Control
  42. NeurIPS 2025Constrained Optimization From a Control Perspective via Feedback Linearization
  43. NeurIPS 2025Continual Optimization with Symmetry Teleportation for Multi-Task Learning
  44. NeurIPS 2025Continuous-time Riemannian SGD and SVRG Flows on Wasserstein Probabilistic Space
  45. NeurIPS 2025Controlling the Flow: Stability and Convergence for Stochastic Gradient Descent with Decaying Regularization
  46. NeurIPS 2025Convergence of Clipped SGD on Convex $(L_0,L_1)$-Smooth Functions
  47. NeurIPS 2025Convergence of the Gradient Flow for Shallow ReLU Networks on Weakly Interacting Data
  48. NeurIPS 2025Convergence Rates for Gradient Descent on the Edge of Stability for Overparametrised Least Squares
  49. NeurIPS 2025Convergence Rates of Constrained Expected Improvement
  50. NeurIPS 2025Convergence Theorems for Entropy-Regularized and Distributional Reinforcement 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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