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 670 篇，第 11 / 14 页

  1. NeurIPS 2025Kernel von Mises Formula of the Influence Function
  2. NeurIPS 2025Knee-Deep in C-RASP: A Transformer Depth Hierarchy
  3. NeurIPS 2025KOALA++: Efficient Kalman-Based Optimization with Gradient-Covariance Products
  4. NeurIPS 2025Large Stepsizes Accelerate Gradient Descent for Regularized Logistic Regression
  5. NeurIPS 2025Last Iterate Convergence in Monotone Mean Field Games
  6. NeurIPS 2025Learning (Approximately) Equivariant Networks via Constrained Optimization
  7. NeurIPS 2025Learning Cocoercive Conservative Denoisers via Helmholtz Decomposition for Poisson Imaging Inverse Problems
  8. NeurIPS 2025Learning Expandable and Adaptable Representations for Continual Learning
  9. NeurIPS 2025Learning from A Single Markovian Trajectory: Optimality and Variance Reduction
  10. NeurIPS 2025Learning from Interval Targets
  11. NeurIPS 2025Learning Linear Attention in Polynomial Time
  12. NeurIPS 2025Learning Memory-Enhanced Improvement Heuristics for Flexible Job Shop Scheduling
  13. NeurIPS 2025Learning Provably Improves the Convergence of Gradient Descent
  14. NeurIPS 2025Learning Theory for Kernel Bilevel Optimization
  15. NeurIPS 2025Learning to Insert for Constructive Neural Vehicle Routing Solver
  16. NeurIPS 2025Learning with Statistical Equality Constraints
  17. NeurIPS 2025Length Generalization via Auxiliary Tasks
  18. NeurIPS 2025Local Curvature Descent: Squeezing More Curvature out of Standard and Polyak Gradient Descent
  19. NeurIPS 2025Machine Unlearning under Overparameterization
  20. NeurIPS 2025MAP Estimation with Denoisers: Convergence Rates and Guarantees
  21. NeurIPS 2025Marginal-Nonuniform PAC Learnability
  22. NeurIPS 2025Memory-Augmented Potential Field Theory: A Framework for Adaptive Control in Non-Convex Domains
  23. NeurIPS 2025Meta-D2AG: Causal Graph Learning with Interventional Dynamic Data
  24. NeurIPS 2025Metric Automata Theory: A Unifying Theory of RNNs
  25. NeurIPS 2025MGUP: A Momentum-Gradient Alignment Update Policy for Stochastic Optimization
  26. NeurIPS 2025MISA: Memory-Efficient LLMs Optimization with Module-wise Importance Sampling
  27. NeurIPS 2025Mitigating Hallucination Through Theory-Consistent Symmetric Multimodal Preference Optimization
  28. NeurIPS 2025Modality-Aware SAM: Sharpness-Aware-Minimization Driven Gradient Modulation for Harmonized Multimodal Learning
  29. NeurIPS 2025MTL-KD: Multi-Task Learning Via Knowledge Distillation for Generalizable Neural Vehicle Routing Solver
  30. NeurIPS 2025Multiplayer Federated Learning: Reaching Equilibrium with Less Communication
  31. NeurIPS 2025NaDRO: Leveraging Dual-Reward Strategies for LLMs Training on Noisy Data
  32. NeurIPS 2025Natural Gradient VI: Guarantees for Non-Conjugate Models
  33. NeurIPS 2025Neural Collapse under Gradient Flow on Shallow ReLU Networks for Orthogonally Separable Data
  34. NeurIPS 2025Neural Combinatorial Optimization for Time Dependent Traveling Salesman Problem
  35. NeurIPS 2025Neural Evolution Strategy for Black-box Pareto Set Learning
  36. NeurIPS 2025New Parallel and Streaming Algorithms for Directed Densest Subgraph
  37. NeurIPS 2025New Perspectives on the Polyak Stepsize: Surrogate Functions and Negative Results
  38. NeurIPS 2025Non-Clairvoyant Scheduling with Progress Bars
  39. NeurIPS 2025Non-convex entropic mean-field optimization via Best Response flow
  40. NeurIPS 2025Non-Convex Tensor Recovery from Tube-Wise Sensing
  41. NeurIPS 2025Non-monotone Submodular Optimization: $p$-Matchoid Constraints and Fully Dynamic Setting
  42. NeurIPS 2025Non-Singularity of the Gradient Descent Map for Neural Networks with Piecewise Analytic Activations
  43. NeurIPS 2025Non-stationary Bandit Convex Optimization: A Comprehensive Study
  44. NeurIPS 2025Non-Stationary Lipschitz Bandits
  45. NeurIPS 2025Nonlinear Laplacians: Tunable principal component analysis under directional prior information
  46. NeurIPS 2025Nonlinearly Preconditioned Gradient Methods: Momentum and Stochastic Analysis
  47. NeurIPS 2025NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems
  48. NeurIPS 2025Nyström-Accelerated Primal LS-SVMs: Breaking the $O(an^3)$ Complexity Bottleneck for Scalable ODEs Learning
  49. NeurIPS 2025On Extending Direct Preference Optimization to Accommodate Ties
  50. NeurIPS 2025On Linear Mode Connectivity of Mixture-of-Experts Architectures

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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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