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 304 篇，第 6 / 7 页

  1. NeurIPS 2024SLowcalSGD : Slow Query Points Improve Local-SGD for Stochastic Convex Optimization
  2. NeurIPS 2024Solving Sparse \& High-Dimensional-Output Regression via Compression
  3. NeurIPS 2024SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization
  4. NeurIPS 2024Stabilized Proximal-Point Methods for Federated Optimization
  5. NeurIPS 2024Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes
  6. NeurIPS 2024Statistical Estimation in the Spiked Tensor Model via the Quantum Approximate Optimization Algorithm
  7. NeurIPS 2024Stepwise Alignment for Constrained Language Model Policy Optimization
  8. NeurIPS 2024Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements
  9. NeurIPS 2024Stochastic Newton Proximal Extragradient Method
  10. NeurIPS 2024Stochastic Optimization Schemes for Performative Prediction with Nonconvex Loss
  11. NeurIPS 2024Stochastic Zeroth-Order Optimization under Strongly Convexity and Lipschitz Hessian: Minimax Sample Complexity
  12. NeurIPS 2024Super Consistency of Neural Network Landscapes and Learning Rate Transfer
  13. NeurIPS 2024SymILO: A Symmetry-Aware Learning Framework for Integer Linear Optimization
  14. NeurIPS 2024Symmetric Linear Bandits with Hidden Symmetry
  15. NeurIPS 2024Testably Learning Polynomial Threshold Functions
  16. NeurIPS 2024The Collusion of Memory and Nonlinearity in Stochastic Approximation With Constant Stepsize
  17. NeurIPS 2024The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains
  18. NeurIPS 2024The High Line: Exact Risk and Learning Rate Curves of Stochastic Adaptive Learning Rate Algorithms
  19. NeurIPS 2024The Implicit Bias of Gradient Descent on Separable Multiclass Data
  20. NeurIPS 2024The Implicit Bias of Heterogeneity towards Invariance: A Study of Multi-Environment Matrix Sensing
  21. NeurIPS 2024The Iterative Optimal Brain Surgeon: Faster Sparse Recovery by Leveraging Second-Order Information
  22. NeurIPS 2024The Many Faces of Optimal Weak-to-Strong Learning
  23. NeurIPS 2024The Power of Extrapolation in Federated Learning
  24. NeurIPS 2024The Road Less Scheduled
  25. NeurIPS 2024The Sample Complexity of Gradient Descent in Stochastic Convex Optimization
  26. NeurIPS 2024The Secretary Problem with Predicted Additive Gap
  27. NeurIPS 2024The Space Complexity of Approximating Logistic Loss
  28. NeurIPS 2024The Star Geometry of Critic-Based Regularizer Learning
  29. NeurIPS 2024There is No Silver Bullet: Benchmarking Methods in Predictive Combinatorial Optimization
  30. NeurIPS 2024Tight Bounds for Learning RUMs from Small Slates
  31. NeurIPS 2024Tighter Convergence Bounds for Shuffled SGD via Primal-Dual Perspective
  32. NeurIPS 2024Tolerant Algorithms for Learning with Arbitrary Covariate Shift
  33. NeurIPS 2024Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms
  34. NeurIPS 2024Topological obstruction to the training of shallow ReLU neural networks
  35. NeurIPS 2024TorchOpt: An Efficient Library for Differentiable Optimization
  36. NeurIPS 2024Toward Global Convergence of Gradient EM for Over-Paramterized Gaussian Mixture Models
  37. NeurIPS 2024Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning
  38. NeurIPS 2024Towards Exact Gradient-based Training on Analog In-memory Computing
  39. NeurIPS 2024Towards Scalable and Stable Parallelization of Nonlinear RNNs
  40. NeurIPS 2024Trade-Offs of Diagonal Fisher Information Matrix Estimators
  41. NeurIPS 2024Training Dynamics of Transformers to Recognize Word Co-occurrence via Gradient Flow Analysis
  42. NeurIPS 2024Transductive Learning is Compact
  43. NeurIPS 2024Transition Constrained Bayesian Optimization via Markov Decision Processes
  44. NeurIPS 2024Universal Rates of Empirical Risk Minimization
  45. NeurIPS 2024Universality of AdaGrad Stepsizes for Stochastic Optimization: Inexact Oracle, Acceleration and Variance Reduction
  46. NeurIPS 2024Unraveling the Gradient Descent Dynamics of Transformers
  47. NeurIPS 2024Unveiling Induction Heads: Provable Training Dynamics and Feature Learning in Transformers
  48. NeurIPS 2024UQ-Guided Hyperparameter Optimization for Iterative Learners
  49. NeurIPS 2024Variance estimation in compound decision theory under boundedness
  50. NeurIPS 2024Warm-starting Push-Relabel

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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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