理论 · optimization论文趋势 2023–2026

学习理论及相关：optimization

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 1,871 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

理论 · optimization论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
20233746355123
2024304123670494
20253181961479670
20261192442147584

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

全部理论 · optimization论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 494 篇，第 9 / 10 页

  1. NeurIPS 2024Parameter-free Clipped Gradient Descent Meets Polyak
  2. NeurIPS 2024Penalty-based Methods for Simple Bilevel Optimization under Hölderian Error Bounds
  3. NeurIPS 2024Performative Control for Linear Dynamical Systems
  4. NeurIPS 2024Practical $0.385$-Approximation for Submodular Maximization Subject to a Cardinality Constraint
  5. NeurIPS 2024Pre-trained Gaussian Processes for Bayesian Optimization
  6. NeurIPS 2024Pretrained Optimization Model for Zero-Shot Black Box Optimization
  7. NeurIPS 2024Private Algorithms for Stochastic Saddle Points and Variational Inequalities: Beyond Euclidean Geometry
  8. NeurIPS 2024Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions
  9. NeurIPS 2024Prospective Learning: Learning for a Dynamic Future
  10. NeurIPS 2024Provable Acceleration of Nesterov's Accelerated Gradient for Asymmetric Matrix Factorization and Linear Neural Networks
  11. NeurIPS 2024Provably Faster Algorithms for Bilevel Optimization via Without-Replacement Sampling
  12. NeurIPS 2024Quantitative Convergences of Lie Group Momentum Optimizers
  13. NeurIPS 2024Quantum Algorithms for Non-smooth Non-convex Optimization
  14. NeurIPS 2024Query-Efficient Correlation Clustering with Noisy Oracle
  15. NeurIPS 2024Random Function Descent
  16. NeurIPS 2024ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
  17. NeurIPS 2024Rejection via Learning Density Ratios
  18. NeurIPS 2024Reliable Learning of Halfspaces under Gaussian Marginals
  19. NeurIPS 2024ReLIZO: Sample Reusable Linear Interpolation-based Zeroth-order Optimization
  20. NeurIPS 2024Remove that Square Root: A New Efficient Scale-Invariant Version of AdaGrad
  21. NeurIPS 2024Replicable Uniformity Testing
  22. NeurIPS 2024Rethinking 3D Convolution in $\ell_p$-norm Space
  23. NeurIPS 2024Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation
  24. NeurIPS 2024Robust and Faster Zeroth-Order Minimax Optimization: Complexity and Applications
  25. NeurIPS 2024S-SOS: Stochastic Sum-Of-Squares for Parametric Polynomial Optimization
  26. NeurIPS 2024Safe and Sparse Newton Method for Entropic-Regularized Optimal Transport
  27. NeurIPS 2024Sample Complexity of Algorithm Selection Using Neural Networks and Its Applications to Branch-and-Cut
  28. NeurIPS 2024Sample-Efficient Agnostic Boosting
  29. NeurIPS 2024Sample-Efficient Geometry Reconstruction from Euclidean Distances using Non-Convex Optimization
  30. NeurIPS 2024Scalable Kernel Inverse Optimization
  31. NeurIPS 2024Scalable Optimization in the Modular Norm
  32. NeurIPS 2024Semi-Random Matrix Completion via Flow-Based Adaptive Reweighting
  33. NeurIPS 2024Semidefinite Relaxations of the Gromov-Wasserstein Distance
  34. NeurIPS 2024SequentialAttention++ for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimization
  35. NeurIPS 2024Shadowheart SGD: Distributed Asynchronous SGD with Optimal Time Complexity Under Arbitrary Computation and Communication Heterogeneity
  36. NeurIPS 2024Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance
  37. NeurIPS 2024Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization
  38. NeurIPS 2024Single-Loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions
  39. NeurIPS 2024SkipPredict: When to Invest in Predictions for Scheduling
  40. NeurIPS 2024Slack-Free Spiking Neural Network Formulation for Hypergraph Minimum Vertex Cover
  41. NeurIPS 2024SLowcalSGD : Slow Query Points Improve Local-SGD for Stochastic Convex Optimization
  42. NeurIPS 2024Solving Sparse \& High-Dimensional-Output Regression via Compression
  43. NeurIPS 2024SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization
  44. NeurIPS 2024Stabilized Proximal-Point Methods for Federated Optimization
  45. NeurIPS 2024Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes
  46. NeurIPS 2024Statistical Estimation in the Spiked Tensor Model via the Quantum Approximate Optimization Algorithm
  47. NeurIPS 2024Stepwise Alignment for Constrained Language Model Policy Optimization
  48. NeurIPS 2024Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements
  49. NeurIPS 2024Stochastic Newton Proximal Extragradient Method
  50. NeurIPS 2024Stochastic Optimization Schemes for Performative Prediction with Nonconvex Loss

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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 查理论 · optimization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": "theory-optimization"}

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常见问题

2023–2026 年四大会议一共有多少篇理论 · optimization论文？
共 1,871 篇，按年份分别是 2023 年 123 篇、2024 年 494 篇、2025 年 670 篇、2026 年 584 篇。
NeurIPS 2026 有多少篇理论 · optimization论文？
NeurIPS 2026 有 119 篇理论 · optimization论文，上一届是 318 篇。
ICLR 2026 有多少篇理论 · optimization论文？
ICLR 2026 有 244 篇理论 · optimization论文，上一届是 196 篇。
ICML 2026 有多少篇理论 · optimization论文？
ICML 2026 有 214 篇理论 · optimization论文，上一届是 147 篇。
CVPR 2026 有多少篇理论 · optimization论文？
CVPR 2026 有 7 篇理论 · optimization论文，上一届是 9 篇。
哪个会议的理论 · optimization论文最多？
NeurIPS，2023–2026 年共 778 篇。

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