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 8 / 10 页

  1. NeurIPS 2024Minimizing UCB: a Better Local Search Strategy in Local Bayesian Optimization
  2. NeurIPS 2024Mirror and Preconditioned Gradient Descent in Wasserstein Space
  3. NeurIPS 2024Monte Carlo Tree Search based Space Transfer for Black Box Optimization
  4. NeurIPS 2024Motif-oriented influence maximization for viral marketing in large-scale social networks
  5. NeurIPS 2024Multi-Stage Predict+Optimize for (Mixed Integer) Linear Programs
  6. NeurIPS 2024Multi-turn Reinforcement Learning with Preference Human Feedback
  7. NeurIPS 2024Multidimensional Fractional Programming for Normalized Cuts
  8. NeurIPS 2024MUVERA: Multi-Vector Retrieval via Fixed Dimensional Encoding
  9. NeurIPS 2024Near-Optimal Distributed Minimax Optimization under the Second-Order Similarity
  10. NeurIPS 2024Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGD
  11. NeurIPS 2024Near-Optimality of Contrastive Divergence Algorithms
  12. NeurIPS 2024Nesterov acceleration despite very noisy gradients
  13. NeurIPS 2024Neur2BiLO: Neural Bilevel Optimization
  14. NeurIPS 2024Non-asymptotic Analysis of Biased Adaptive Stochastic Approximation
  15. NeurIPS 2024Non-asymptotic Approximation Error Bounds of Parameterized Quantum Circuits
  16. NeurIPS 2024Non-asymptotic Global Convergence Analysis of BFGS with the Armijo-Wolfe Line Search
  17. NeurIPS 2024Non-geodesically-convex optimization in the Wasserstein space
  18. NeurIPS 2024Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data
  19. NeurIPS 2024Nonparametric Instrumental Variable Regression through Stochastic Approximate Gradients
  20. NeurIPS 2024Normalization Layer Per-Example Gradients are Sufficient to Predict Gradient Noise Scale in Transformers
  21. NeurIPS 2024Nuclear Norm Regularization for Deep Learning
  22. NeurIPS 2024Oja's Algorithm for Streaming Sparse PCA
  23. NeurIPS 2024On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions
  24. NeurIPS 2024On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability
  25. NeurIPS 2024On Sparse Canonical Correlation Analysis
  26. NeurIPS 2024On the cohesion and separability of average-link for hierarchical agglomerative clustering
  27. NeurIPS 2024On the Comparison between Multi-modal and Single-modal Contrastive Learning
  28. NeurIPS 2024On the Computational Landscape of Replicable Learning
  29. NeurIPS 2024On the Efficiency of ERM in Feature Learning
  30. NeurIPS 2024On the Impacts of the Random Initialization in the Neural Tangent Kernel Theory
  31. NeurIPS 2024On the Limitations of Fractal Dimension as a Measure of Generalization
  32. NeurIPS 2024On the Optimal Time Complexities in Decentralized Stochastic Asynchronous Optimization
  33. NeurIPS 2024On the Sparsity of the Strong Lottery Ticket Hypothesis
  34. NeurIPS 2024On the Stability and Generalization of Meta-Learning
  35. NeurIPS 2024On Tractable $\Phi$-Equilibria in Non-Concave Games
  36. NeurIPS 2024OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations
  37. NeurIPS 2024Optimal Algorithms for Augmented Testing of Discrete Distributions
  38. NeurIPS 2024Optimal Algorithms for Online Convex Optimization with Adversarial Constraints
  39. NeurIPS 2024Optimal and Approximate Adaptive Stochastic Quantization
  40. NeurIPS 2024Optimal Classification under Performative Distribution Shift
  41. NeurIPS 2024Optimal Parallelization of Boosting
  42. NeurIPS 2024Optimal Scalarizations for Sublinear Hypervolume Regret
  43. NeurIPS 2024Optimization Algorithm Design via Electric Circuits
  44. NeurIPS 2024Optimization Can Learn Johnson Lindenstrauss Embeddings
  45. NeurIPS 2024Optimizing over Multiple Distributions under Generalized Quasar-Convexity Condition
  46. NeurIPS 2024Ordered Momentum for Asynchronous SGD
  47. NeurIPS 2024OT4P: Unlocking Effective Orthogonal Group Path for Permutation Relaxation
  48. NeurIPS 2024Outlier-Robust Distributionally Robust Optimization via Unbalanced Optimal Transport
  49. NeurIPS 2024Overcoming Brittleness in Pareto-Optimal Learning Augmented Algorithms
  50. NeurIPS 2024PAC-Bayes-Chernoff bounds for unbounded losses

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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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