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 31 / 38 页

  1. NeurIPS 2024Credal Learning Theory
  2. NeurIPS 2024CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks
  3. NeurIPS 2024Decision-Focused Learning with Directional Gradients
  4. NeurIPS 2024Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond
  5. NeurIPS 2024Deep linear networks for regression are implicitly regularized towards flat minima
  6. NeurIPS 2024Derivatives of Stochastic Gradient Descent in parametric optimization
  7. NeurIPS 2024Diffeomorphic interpolation for efficient persistence-based topological optimization
  8. NeurIPS 2024Direct Preference-Based Evolutionary Multi-Objective Optimization with Dueling Bandits
  9. NeurIPS 2024Directional Smoothness and Gradient Methods: Convergence and Adaptivity
  10. NeurIPS 2024Discretely beyond $1/e$: Guided Combinatorial Algortihms for Submodular Maximization
  11. NeurIPS 2024Disentangling Linear Quadratic Control with Untrusted ML Predictions
  12. NeurIPS 2024Distribution Learning with Valid Outputs Beyond the Worst-Case
  13. NeurIPS 2024Distributional Preference Alignment of LLMs via Optimal Transport
  14. NeurIPS 2024DistrictNet: Decision-aware learning for geographical districting
  15. NeurIPS 2024Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment
  16. NeurIPS 2024Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed SGD
  17. NeurIPS 2024Don't Compress Gradients in Random Reshuffling: Compress Gradient Differences
  18. NeurIPS 2024Drago: Primal-Dual Coupled Variance Reduction for Faster Distributionally Robust Optimization
  19. NeurIPS 2024Dual Lagrangian Learning for Conic Optimization
  20. NeurIPS 2024Efficiency of the First-Price Auction in the Autobidding World
  21. NeurIPS 2024Efficient Combinatorial Optimization via Heat Diffusion
  22. NeurIPS 2024Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability
  23. NeurIPS 2024Efficient Leverage Score Sampling for Tensor Train Decomposition
  24. NeurIPS 2024Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction
  25. NeurIPS 2024Emergence of heavy tails in homogenized stochastic gradient descent
  26. NeurIPS 2024Euclidean distance compression via deep random features
  27. NeurIPS 2024Exact, Tractable Gauss-Newton Optimization in Deep Reversible Architectures Reveal Poor Generalization
  28. NeurIPS 2024Explicit Eigenvalue Regularization Improves Sharpness-Aware Minimization
  29. NeurIPS 2024Exploring Jacobian Inexactness in Second-Order Methods for Variational Inequalities: Lower Bounds, Optimal Algorithms and Quasi-Newton Approximations
  30. NeurIPS 2024Fair Secretaries with Unfair Predictions
  31. NeurIPS 2024Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement Learning
  32. NeurIPS 2024Faster Accelerated First-order Methods for Convex Optimization with Strongly Convex Function Constraints
  33. NeurIPS 2024Federated Learning under Periodic Client Participation and Heterogeneous Data: A New Communication-Efficient Algorithm and Analysis
  34. NeurIPS 2024Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning
  35. NeurIPS 2024FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning
  36. NeurIPS 2024FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction
  37. NeurIPS 2024First-Order Methods for Linearly Constrained Bilevel Optimization
  38. NeurIPS 2024First-Order Minimax Bilevel Optimization
  39. NeurIPS 2024Freya PAGE: First Optimal Time Complexity for Large-Scale Nonconvex Finite-Sum Optimization with Heterogeneous Asynchronous Computations
  40. NeurIPS 2024From Linear to Linearizable Optimization: A Novel Framework with Applications to Stationary and Non-stationary DR-submodular Optimization
  41. NeurIPS 2024FUGAL: Feature-fortified Unrestricted Graph Alignment
  42. NeurIPS 2024Functional Bilevel Optimization for Machine Learning
  43. NeurIPS 2024Functionally Constrained Algorithm Solves Convex Simple Bilevel Problem
  44. NeurIPS 2024Fundamental Convergence Analysis of Sharpness-Aware Minimization
  45. NeurIPS 2024Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models
  46. NeurIPS 2024Generalized Fast Exact Conformalization
  47. NeurIPS 2024Generic Unsupervised Optimization for a Latent Variable Model With Exponential Family Observables
  48. NeurIPS 2024GLinSAT: The General Linear Satisfiability Neural Network Layer By Accelerated Gradient Descent
  49. NeurIPS 2024Gradient Guidance for Diffusion Models: An Optimization Perspective
  50. NeurIPS 2024Gradient-Free Methods for Nonconvex Nonsmooth Stochastic Compositional Optimization

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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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