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 318 篇，第 5 / 7 页

  1. NeurIPS 2025On the Convergence of Stochastic Smoothed Multi-Level Compositional Gradient Descent Ascent
  2. NeurIPS 2025On the Emergence of Linear Analogies in Word Embeddings
  3. NeurIPS 2025On the Optimal Construction of Unbiased Gradient Estimators for Zeroth-Order Optimization
  4. NeurIPS 2025On the Robustness of Transformers against Context Hijacking for Linear Classification
  5. NeurIPS 2025On the sample complexity of semi-supervised multi-objective learning
  6. NeurIPS 2025On Traceability in $\ell_p$ Stochastic Convex Optimization
  7. NeurIPS 2025On Transferring Transferability: Towards a Theory for Size Generalization
  8. NeurIPS 2025On Universality Classes of Equivariant Networks
  9. NeurIPS 2025Online Inverse Linear Optimization: Efficient Logarithmic-Regret Algorithm, Robustness to Suboptimality, and Lower Bound
  10. NeurIPS 2025Online Multi-Class Selection with Group Fairness Guarantee
  11. NeurIPS 2025Online Portfolio Selection with ML Predictions
  12. NeurIPS 2025Online Two-Stage Submodular Maximization
  13. NeurIPS 2025Opinion Maximization in Social Networks by Modifying Internal Opinions
  14. NeurIPS 2025OPTFM: A Scalable Multi-View Graph Transformer for Hierarchical Pre-Training in Combinatorial Optimization
  15. NeurIPS 2025Optimal Rates for Generalization of Gradient Descent for Deep ReLU Classification
  16. NeurIPS 2025Optimality and NP-Hardness of Transformers in Learning Markovian Dynamical Functions
  17. NeurIPS 2025Optimistic Online-to-Batch Conversions for Accelerated Convergence and Universality
  18. NeurIPS 2025Optimizing the Unknown: Black Box Bayesian Optimization with Energy-Based Model and Reinforcement Learning
  19. NeurIPS 2025Oracle-Efficient Combinatorial Semi-Bandits
  20. NeurIPS 2025Parameter-free Algorithms for the Stochastically Extended Adversarial Model
  21. NeurIPS 2025Partial Correlation Network Estimation by Semismooth Newton Methods
  22. NeurIPS 2025Pause Tokens Strictly Increase the Expressivity of Constant-Depth Transformers
  23. NeurIPS 2025PaZO: Preconditioned Accelerated Zeroth-Order Optimization for Fine-Tuning LLMs
  24. NeurIPS 2025PDPO: Parametric Density Path Optimization
  25. NeurIPS 2025Perturbation Bounds for Low-Rank Inverse Approximations under Noise
  26. NeurIPS 2025PiKE: Adaptive Data Mixing for Large-Scale Multi-Task Learning Under Low Gradient Conflicts
  27. NeurIPS 2025Predictability Enables Parallelization of Nonlinear State Space Models
  28. NeurIPS 2025Preference Optimization on Pareto Sets: On a Theory of Multi-Objective Optimization
  29. NeurIPS 2025Price of Parsimony: Complexity of Fourier Sparsity Testing
  30. NeurIPS 2025Probing Neural Combinatorial Optimization Models
  31. NeurIPS 2025Problem-Parameter-Free Decentralized Bilevel Optimization
  32. NeurIPS 2025Product Distribution Learning with Imperfect Advice
  33. NeurIPS 2025Provable Meta-Learning with Low-Rank Adaptations
  34. NeurIPS 2025Purest Quantum State Identification
  35. NeurIPS 2025Purity Law for Neural Routing Problem Solvers with Enhanced Generalizability
  36. NeurIPS 2025Quantum Speedups for Minimax Optimization and Beyond
  37. NeurIPS 2025Quasi-Self-Concordant Optimization with $\ell_{\infty}$ Lewis Weights
  38. NeurIPS 2025Reinforcement learning for one-shot DAG scheduling with comparability identification and dense reward
  39. NeurIPS 2025Replicable Distribution Testing
  40. NeurIPS 2025Replicable Online Learning
  41. NeurIPS 2025Rethinking Entropy in Test-Time Adaptation: The Missing Piece from Energy Duality
  42. NeurIPS 2025Rethinking Gradient Step Denoiser: Towards Truly Pseudo-Contractive Operator
  43. NeurIPS 2025Rethinking Neural Combinatorial Optimization for Vehicle Routing Problems with Different Constraint Tightness Degrees
  44. NeurIPS 2025Revisiting 1-peer exponential graph for enhancing decentralized learning efficiency
  45. NeurIPS 2025Revisiting Agnostic Boosting
  46. NeurIPS 2025Revisiting Consensus Error: A Fine-grained Analysis of Local SGD under Second-order Data Heterogeneity
  47. NeurIPS 2025Revisiting Follow-the-Perturbed-Leader with Unbounded Perturbations in Bandit Problems
  48. NeurIPS 2025Revisiting Frank-Wolfe for Structured Nonconvex Optimization
  49. NeurIPS 2025Robust Federated Finetuning of LLMs via Alternating Optimization of LoRA
  50. NeurIPS 2025Robustifying Learning-Augmented Caching Efficiently without Compromising 1-Consistency

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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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