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 541 篇，第 6 / 11 页

  1. ICLR 2025Geometric Inductive Biases of Deep Networks: The Role of Data and Architecture
  2. ICLR 2025Global Convergence in Neural ODEs: Impact of Activation Functions
  3. ICLR 2025GOAL: A Generalist Combinatorial Optimization Agent Learner
  4. ICLR 2025Gradient correlation is a key ingredient to accelerate SGD with momentum
  5. ICLR 2025Gradient descent with generalized Newton’s method
  6. ICLR 2025How Does Critical Batch Size Scale in Pre-training?
  7. ICLR 2025Improved Approximation Algorithms for $k$-Submodular Maximization via Multilinear Extension
  8. ICLR 2025Improved Techniques for Optimization-Based Jailbreaking on Large Language Models
  9. ICLR 2025Improving Convergence Guarantees of Random Subspace Second-order Algorithm for Nonconvex Optimization
  10. ICLR 2025Joint Gradient Balancing for Data Ordering in Finite-Sum Multi-Objective Optimization
  11. ICLR 2025LancBiO: Dynamic Lanczos-aided Bilevel Optimization via Krylov Subspace
  12. ICLR 2025Last Iterate Convergence of Incremental Methods as a Model of Forgetting
  13. ICLR 2025Latent Bayesian Optimization via Autoregressive Normalizing Flows
  14. ICLR 2025LDAdam: Adaptive Optimization from Low-Dimensional Gradient Statistics
  15. ICLR 2025Learning to Explore and Exploit with GNNs for Unsupervised Combinatorial Optimization
  16. ICLR 2025Learning to Solve Differential Equation Constrained Optimization Problems
  17. ICLR 2025Learning-Guided Rolling Horizon Optimization for Long-Horizon Flexible Job-Shop Scheduling
  18. ICLR 2025LICO: Large Language Models for In-Context Molecular Optimization
  19. ICLR 2025LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch
  20. ICLR 2025Local convergence of simultaneous min-max algorithms to differential equilibrium on Riemannian manifold
  21. ICLR 2025Local Loss Optimization in the Infinite Width: Stable Parameterization of Predictive Coding Networks and Target Propagation
  22. ICLR 2025Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression
  23. ICLR 2025LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization
  24. ICLR 2025Magnetic Preference Optimization: Achieving Last-iterate Convergence for Language Model Alignment
  25. ICLR 2025Mask in the Mirror: Implicit Sparsification
  26. ICLR 2025Methods for Convex $(L_0,L_1)$-Smooth Optimization: Clipping, Acceleration, and Adaptivity
  27. ICLR 2025Methods with Local Steps and Random Reshuffling for Generally Smooth Non-Convex Federated Optimization
  28. ICLR 2025MGDA Converges under Generalized Smoothness, Provably
  29. ICLR 2025Nesterov acceleration in benignly non-convex landscapes
  30. ICLR 2025Neural Dueling Bandits: Preference-Based Optimization with Human Feedback
  31. ICLR 2025Neural Exploratory Landscape Analysis for Meta-Black-Box-Optimization
  32. ICLR 2025Newton Meets Marchenko-Pastur: Massively Parallel Second-Order Optimization with Hessian Sketching and Debiasing
  33. ICLR 2025No Preference Left Behind: Group Distributional Preference Optimization
  34. ICLR 2025Non-Equilibrium Dynamics of Hybrid Continuous-Discrete Ground-State Sampling
  35. ICLR 2025Nonasymptotic Analysis of Stochastic Gradient Descent with the Richardson–Romberg Extrapolation
  36. ICLR 2025Nonconvex Stochastic Optimization under Heavy-Tailed Noises: Optimal Convergence without Gradient Clipping
  37. ICLR 2025Nonlinear Sequence Embedding by Monotone Variational Inequality
  38. ICLR 2025Offline Hierarchical Reinforcement Learning via Inverse Optimization
  39. ICLR 2025Offline Model-Based Optimization by Learning to Rank
  40. ICLR 2025On Stochastic Contextual Bandits with Knapsacks in Small Budget Regime
  41. ICLR 2025On the Almost Sure Convergence of the Stochastic Three Points Algorithm
  42. ICLR 2025On the Optimization and Generalization of Two-layer Transformers with Sign Gradient Descent
  43. ICLR 2025On the Optimization Landscape of Low Rank Adaptation Methods for Large Language Models
  44. ICLR 2025OPTAMI: Global Superlinear Convergence of High-order Methods
  45. ICLR 2025Optimal Strong Regret and Violation in Constrained MDPs via Policy Optimization
  46. ICLR 2025Optimization by Parallel Quasi-Quantum Annealing with Gradient-Based Sampling
  47. ICLR 2025Optimizing $(L_0, L_1)$-Smooth Functions by Gradient Methods
  48. ICLR 2025Optimizing importance weighting in the presence of sub-population shifts
  49. ICLR 2025Optimizing Neural Network Representations of Boolean Networks
  50. ICLR 2025Optimizing Posterior Samples for Bayesian Optimization via Rootfinding

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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