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 1,871 篇，第 25 / 38 页

  1. NeurIPS 2025Smoothed Agnostic Learning of Halfspaces over the Hypercube
  2. NeurIPS 2025Solver-Free Decision-Focused Learning for Linear Optimization Problems
  3. NeurIPS 2025Solver-Informed RL: Grounding Large Language Models for Authentic Optimization Modeling
  4. NeurIPS 2025Solving Neural Min-Max Games: The Role of Architecture, Initialization & Dynamics
  5. NeurIPS 2025Solving the Asymmetric Traveling Salesman Problem via Trace-Guided Cost Augmentation
  6. NeurIPS 2025Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM Fine-Tuning
  7. NeurIPS 2025Sparse Polyak: an adaptive step size rule for high-dimensional M-estimation
  8. NeurIPS 2025Spectral Estimation with Free Decompression
  9. NeurIPS 2025Stab-SGD: Noise-Adaptivity in Smooth Optimization with Stability Ratios
  10. NeurIPS 2025Stable Coresets via Posterior Sampling: Aligning Induced and Full Loss Landscapes
  11. NeurIPS 2025Stochastic Gradients under Nuisances
  12. NeurIPS 2025Stochastic Momentum Methods for Non-smooth Non-Convex Finite-Sum Coupled Compositional Optimization
  13. NeurIPS 2025Stochastic Optimization in Semi-Discrete Optimal Transport: Convergence Analysis and Minimax Rate
  14. NeurIPS 2025Streaming Attention Approximation via Discrepancy Theory
  15. NeurIPS 2025Streaming Federated Learning with Markovian Data
  16. NeurIPS 2025Streaming Stochastic Submodular Maximization with On-Demand User Requests
  17. NeurIPS 2025System Prompt Optimization with Meta-Learning
  18. NeurIPS 2025Targeted Maximum Likelihood Learning: An Optimization Perspective
  19. NeurIPS 2025The Bias-Variance Tradeoff in Data-Driven Optimization: A Local Misspecification Perspective
  20. NeurIPS 2025The Complexity of Finding Local Optima in Contrastive Learning
  21. NeurIPS 2025The Complexity of Symmetric Equilibria in Min-Max Optimization and Team Zero-Sum Games
  22. NeurIPS 2025The Computational Complexity of Counting Linear Regions in ReLU Neural Networks
  23. NeurIPS 2025The Flood Complex: Large-Scale Persistent Homology on Millions of Points
  24. NeurIPS 2025The Nuclear Route: Sharp Asymptotics of ERM in Overparameterized Quadratic Networks
  25. NeurIPS 2025The Persistence of Neural Collapse Despite Low-Rank Bias
  26. NeurIPS 2025The Rich and the Simple: On the Implicit Bias of Adam and SGD
  27. NeurIPS 2025Theoretical Investigation of Adafactor for Non-Convex Smooth Optimization
  28. NeurIPS 2025Tight analyses of first-order methods with error feedback
  29. NeurIPS 2025Tight Asymptotics of Extreme Order Statistics
  30. NeurIPS 2025Tight High-Probability Bounds for Nonconvex Heavy-Tailed Scenario under Weaker Assumptions
  31. NeurIPS 2025Tight Lower Bounds and Improved Convergence in Performative Prediction
  32. NeurIPS 2025Towards Generalizable Multi-Policy Optimization with Self-Evolution for Job Scheduling
  33. NeurIPS 2025Towards Straggler-Resilient Split Federated Learning: An Unbalanced Update Approach
  34. NeurIPS 2025Tractable Multinomial Logit Contextual Bandits with Non-Linear Utilities
  35. NeurIPS 2025Transformers Provably Learn Chain-of-Thought Reasoning with Length Generalization
  36. NeurIPS 2025TSENOR: Highly-Efficient Algorithm for Finding Transposable N:M Sparse Masks
  37. NeurIPS 2025Two Heads are Better than One: Simulating Large Transformers with Small Ones
  38. NeurIPS 2025UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection
  39. NeurIPS 2025Unbalanced Optimal Total Variation Transport: A Theoretical Approach to Spatial Resource Allocation Problems
  40. NeurIPS 2025Uncoupled and Convergent Learning in Monotone Games under Bandit Feedback
  41. NeurIPS 2025Understanding Data Influence in Reinforcement Finetuning
  42. NeurIPS 2025Understanding outer learning rates in Local SGD
  43. NeurIPS 2025Understanding Softmax Attention Layers:\\ Exact Mean-Field Analysis on a Toy Problem
  44. NeurIPS 2025Uniform Wrappers: Bridging Concave to Quadratizable Functions in Online Optimization
  45. NeurIPS 2025UniteFormer: Unifying Node and Edge Modalities in Transformers for Vehicle Routing Problems
  46. NeurIPS 2025Unlocking Dataset Distillation with Diffusion Models
  47. NeurIPS 2025Unveiling m-Sharpness Through the Structure of Stochastic Gradient Noise
  48. NeurIPS 2025What Data Enables Optimal Decisions? An Exact Characterization for Linear Optimization
  49. NeurIPS 2025What Expressivity Theory Misses: Message Passing Complexity for GNNs
  50. NeurIPS 2025What Makes a Reward Model a Good Teacher? An Optimization Perspective

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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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