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 5 / 10 页

  1. NeurIPS 2024Acceleration Exists! Optimization Problems When Oracle Can Only Compare Objective Function Values
  2. NeurIPS 2024Achieving Linear Convergence with Parameter-Free Algorithms in Decentralized Optimization
  3. NeurIPS 2024Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes
  4. NeurIPS 2024Adam with model exponential moving average is effective for nonconvex optimization
  5. NeurIPS 2024Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization
  6. NeurIPS 2024Adaptive Proximal Gradient Method for Convex Optimization
  7. NeurIPS 2024Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions
  8. NeurIPS 2024Adversarially Robust Dense-Sparse Tradeoffs via Heavy-Hitters
  9. NeurIPS 2024Algebraic Positional Encodings
  10. NeurIPS 2024ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models
  11. NeurIPS 2024An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
  12. NeurIPS 2024An Accelerated Gradient Method for Convex Smooth Simple Bilevel Optimization
  13. NeurIPS 2024An Improved Empirical Fisher Approximation for Natural Gradient Descent
  14. NeurIPS 2024Approximately Pareto-optimal Solutions for Bi-Objective k-Clustering
  15. NeurIPS 2024Approximating the Top Eigenvector in Random Order Streams
  16. NeurIPS 2024Are Multiple Instance Learning Algorithms Learnable for Instances?
  17. NeurIPS 2024B-ary Tree Push-Pull Method is Provably Efficient for Distributed Learning on Heterogeneous Data
  18. NeurIPS 2024BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models
  19. NeurIPS 2024Bayes-optimal learning of an extensive-width neural network from quadratically many samples
  20. NeurIPS 2024Bayesian Nonparametrics Meets Data-Driven Distributionally Robust Optimization
  21. NeurIPS 2024Bayesian Optimization of Functions over Node Subsets in Graphs
  22. NeurIPS 2024Bayesian Strategic Classification
  23. NeurIPS 2024Benign overfitting in leaky ReLU networks with moderate input dimension
  24. NeurIPS 2024Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training
  25. NeurIPS 2024Binary Search with Distributional Predictions
  26. NeurIPS 2024Boundary Decomposition for Nadir Objective Vector Estimation
  27. NeurIPS 2024BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning
  28. NeurIPS 2024Byzantine Robustness and Partial Participation Can Be Achieved at Once: Just Clip Gradient Differences
  29. NeurIPS 2024C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory
  30. NeurIPS 2024Can neural operators always be continuously discretized?
  31. NeurIPS 2024Catastrophic Goodhart: regularizing RLHF with KL divergence does not mitigate heavy-tailed reward misspecification
  32. NeurIPS 2024Clustering with Non-adaptive Subset Queries
  33. NeurIPS 2024CoBo: Collaborative Learning via Bilevel Optimization
  34. NeurIPS 2024Collaboration! Towards Robust Neural Methods for Routing Problems
  35. NeurIPS 2024Communication-Efficient Federated Group Distributionally Robust Optimization
  36. NeurIPS 2024Computing the Bias of Constant-step Stochastic Approximation with Markovian Noise
  37. NeurIPS 2024Conformal Inverse Optimization
  38. NeurIPS 2024Constrained Sampling with Primal-Dual Langevin Monte Carlo
  39. NeurIPS 2024Contextual Linear Optimization with Bandit Feedback
  40. NeurIPS 2024Continuous Partitioning for Graph-Based Semi-Supervised Learning
  41. NeurIPS 2024Contracting with a Learning Agent
  42. NeurIPS 2024Controlling Continuous Relaxation for Combinatorial Optimization
  43. NeurIPS 2024Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound
  44. NeurIPS 2024Convergence Analysis of Split Federated Learning on Heterogeneous Data
  45. NeurIPS 2024Convolutions and More as Einsum: A Tensor Network Perspective with Advances for Second-Order Methods
  46. NeurIPS 2024Cost-aware Bayesian Optimization via the Pandora's Box Gittins Index
  47. NeurIPS 2024Credal Learning Theory
  48. NeurIPS 2024CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks
  49. NeurIPS 2024Decision-Focused Learning with Directional Gradients
  50. NeurIPS 2024Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond

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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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