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 286 篇，第 4 / 6 页

  1. ICML 2026LK Losses: Direct Acceptance Rate Optimization for Speculative Decoding
  2. ICML 2026Local Constrained Bayesian Optimization
  3. ICML 2026Local Minima in Quadratic-Penalty Relaxations of Binary Linear Programs
  4. ICML 2026Local-Minima-Preserving Polynomial Relaxation of Ising Problems
  5. ICML 2026Lookahead Path Likelihood Optimization for Diffusion LLMs
  6. ICML 2026Loss-Aware Distributionally Robust Optimization via Trainable Optimal Transport Ambiguity Sets
  7. ICML 2026Lower Complexity Bounds for Nonconvex-Strongly-Convex Bilevel Optimization with First-Order Oracles
  8. ICML 2026LS$^{2}$MC-GDA: A Smoothed Algorithm for Federated Stochastic Multi-Level Compositional Minimax Optimization
  9. ICML 2026M+Adam: Low-Precision Training via Additive–Multiplicative Optimization
  10. ICML 2026MaxSAT-Based Compression for Tsetlin Machines
  11. ICML 2026Mean Flow Policy Optimization
  12. ICML 2026Memory Savings at What Cost? A Study of Alternatives to Backpropagation
  13. ICML 2026Meta-Black-Box Optimization Can Do Search Guidance for Expensive Constrained Multi-Objective Optimization
  14. ICML 2026MineDraft: A Framework for Batch Parallel Speculative Decoding
  15. ICML 2026MiniMax Learning of Interpretable Factored Stochastic Policies from Conjoint Data, with Uncertainty Quantification
  16. ICML 2026Minimizing Upper Confidence Bounds: A Data-Driven Framework for Stochastic Programming
  17. ICML 2026Mirror Descent Under Generalized Smoothness
  18. ICML 2026Mirror Mean-Field Langevin Dynamics
  19. ICML 2026Mitigating Staleness in Asynchronous Pipeline Parallelism via Basis Rotation
  20. ICML 2026MoSSP: A Momentum-Based Single-Loop Stochastic Penalty Method for Nonconvex Constrained DC-regularized Optimization
  21. ICML 2026MuCO: Generative Peptide Cyclization Empowered by Multi-stage Conformation Optimization
  22. ICML 2026Multi-Objective Bayesian Optimization via Adaptive $\varepsilon$-Constraint Decomposition
  23. ICML 2026Nash Equilibria in Games with Playerwise Concave Coupling Constraints: Existence and Computation
  24. ICML 2026Natural Hypergradient Descent: Algorithm Design, Convergence Analysis, and Parallel Implementation
  25. ICML 2026Near-Optimal Convergence of Accelerated Gradient Methods under Generalized and $(L_0,L_1)$-Smoothness
  26. ICML 2026Neural QAOA$^2$: Differentiable Joint Graph Partitioning and Parameter Initialization for Quantum Combinatorial Optimization
  27. ICML 2026Noisy Pairwise-Comparison Random Search for Smooth Nonconvex Optimization
  28. ICML 2026Non-Parametric Optimization for Scalable Learning in Stochastic Decision Problems
  29. ICML 2026Nonconvex Low-Rank Tensor Representation with Deep Priors for Multiview Subspace Clustering
  30. ICML 2026Normalized Rewards for Preference Optimization
  31. ICML 2026Not All Answers Are Contextually Persuadable: Inference Dynamics in Large Language Models under Contextual Influence
  32. ICML 2026Off-Policy Learning in Large Action Spaces: Optimization Matters More Than Estimation
  33. ICML 2026OLion: Approaching the Hadamard Ideal by Intersecting Spectral and L inf Implicit Biases
  34. ICML 2026On Densest $k$-Subgraph Mining and Diagonal Loading: Optimization Landscape and Finite-Step Exact Convergence Analysis
  35. ICML 2026On Regret Bounds of Thompson Sampling for Bayesian Optimization
  36. ICML 2026On the Anisotropy of Score-Based Generative Models
  37. ICML 2026On the Convergence of Decentralized Stochastic Minimax Optimization Algorithm with Compressed Communication
  38. ICML 2026On the Convergence Rate of LoRA Gradient Descent
  39. ICML 2026On the Optimization Trajectory of DeepWalk Embeddings
  40. ICML 2026On the Provable Suboptimality of Momentum SGD in Nonstationary Stochastic Optimization
  41. ICML 2026On the Role of Batch Size in Stochastic Conditional Gradient Methods
  42. ICML 2026One-Step Gradient Delay is Not a Barrier for Large-Scale Asynchronous Pipeline Parallel LLM Pretraining
  43. ICML 2026Operator Splitting with Hamilton-Jacobi-based Proximals
  44. ICML 2026OPIC: Enhancing Language Model Merging via Optimizing In-Context Capability
  45. ICML 2026Opt-Verifier: Unleashing the Power of LLMs for Optimization Modeling via Dual-Side Verification
  46. ICML 2026Optimal Anytime Algorithms for Online Convex Optimization with Adversarial Constraints
  47. ICML 2026Optimal Regret for Policy Optimization in Contextual Bandits
  48. ICML 2026Optimal Transport with Symmetry Groups
  49. ICML 2026Optimal Transport–Guided Stochastic Control for Graph Combinatorial Optimization
  50. ICML 2026OptMaster: A DAG-Based Framework for Formulation and Heuristic Discovery in 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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