医疗政策建模论文趋势 2023–2026

政策与流行病学

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 875 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

医疗政策建模论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202331403825134
202469366920194
202594396118212
20261385810237335

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

全部医疗政策建模论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 875 篇，第 17 / 18 页

  1. ICLR 2023Policy-Based Self-Competition for Planning Problems
  2. ICLR 2023Sample Complexity of Nonparametric Off-Policy Evaluation on Low-Dimensional Manifolds using Deep Networks
  3. ICLR 2023Simplified State Space Layers for Sequence Modeling
  4. ICLR 2023The Surprising Computational Power of Nondeterministic Stack RNNs
  5. ICLR 2023Toeplitz Neural Network for Sequence Modeling
  6. ICLR 2023What Makes Convolutional Models Great on Long Sequence Modeling?
  7. ICML 2023Active Policy Improvement from Multiple Black-box Oracles
  8. ICML 2023Adaptive Barrier Smoothing for First-Order Policy Gradient with Contact Dynamics
  9. ICML 2023An Instrumental Variable Approach to Confounded Off-Policy Evaluation
  10. ICML 2023An SDE for Modeling SAM: Theory and Insights
  11. ICML 2023Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN
  12. ICML 2023Best of Both Worlds Policy Optimization
  13. ICML 2023Beyond Reward: Offline Preference-guided Policy Optimization
  14. ICML 2023CAB: Comprehensive Attention Benchmarking on Long Sequence Modeling
  15. ICML 2023Causal Modeling of Policy Interventions From Treatment–Outcome Sequences
  16. ICML 2023Delay-Adapted Policy Optimization and Improved Regret for Adversarial MDP with Delayed Bandit Feedback
  17. ICML 2023DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm
  18. ICML 2023Efficient Exploration via Epistemic-Risk-Seeking Policy Optimization
  19. ICML 2023Exponential Smoothing for Off-Policy Learning
  20. ICML 2023FAENet: Frame Averaging Equivariant GNN for Materials Modeling
  21. ICML 2023Improved Policy Evaluation for Randomized Trials of Algorithmic Resource Allocation
  22. ICML 2023Internally Rewarded Reinforcement Learning
  23. ICML 2023Invariance in Policy Optimisation and Partial Identifiability in Reward Learning
  24. ICML 2023Learning Control by Iterative Inversion
  25. ICML 2023Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy
  26. ICML 2023Model-based Reinforcement Learning with Scalable Composite Policy Gradient Estimators
  27. ICML 2023Modeling Dynamic Environments with Scene Graph Memory
  28. ICML 2023Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion
  29. ICML 2023Not all Strongly Rayleigh Distributions Have Small Probabilistic Generating Circuits
  30. ICML 2023Off-Policy Average Reward Actor-Critic with Deterministic Policy Search
  31. ICML 2023Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modeling
  32. ICML 2023Offline Reinforcement Learning with Closed-Form Policy Improvement Operators
  33. ICML 2023On Many-Actions Policy Gradient
  34. ICML 2023On the Global Convergence of Risk-Averse Policy Gradient Methods with Expected Conditional Risk Measures
  35. ICML 2023Online Prototype Alignment for Few-shot Policy Transfer
  36. ICML 2023Policy Contrastive Imitation Learning
  37. ICML 2023Policy Gradient in Robust MDPs with Global Convergence Guarantee
  38. ICML 2023PPG Reloaded: An Empirical Study on What Matters in Phasic Policy Gradient
  39. ICML 2023Scalable Safe Policy Improvement via Monte Carlo Tree Search
  40. ICML 2023Sequence Modeling with Multiresolution Convolutional Memory
  41. ICML 2023Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate Policies
  42. ICML 2023The Optimal Approximation Factors in Misspecified Off-Policy Value Function Estimation
  43. ICML 2023Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data
  44. ICML 2023Trustworthy Policy Learning under the Counterfactual No-Harm Criterion
  45. NeurIPS 2023AirDelhi: Fine-Grained Spatio-Temporal Particulate Matter Dataset From Delhi For ML based Modeling
  46. NeurIPS 2023An NLP Benchmark Dataset for Assessing Corporate Climate Policy Engagement
  47. NeurIPS 2023CARE: Modeling Interacting Dynamics Under Temporal Environmental Variation
  48. NeurIPS 2023ChessGPT: Bridging Policy Learning and Language Modeling
  49. NeurIPS 2023Convex-Concave Zero-Sum Markov Stackelberg Games
  50. NeurIPS 2023Counterfactual-Augmented Importance Sampling for Semi-Offline Policy Evaluation

在 Claude、Cursor 里直接问这个趋势

接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。

可以直接复制这句话问 AI

用 paperlist 查医疗政策建模在 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": "healthcare-policy-modeling"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

常见问题

2023–2026 年四大会议一共有多少篇医疗政策建模论文？
共 875 篇，按年份分别是 2023 年 134 篇、2024 年 194 篇、2025 年 212 篇、2026 年 335 篇。
NeurIPS 2026 有多少篇医疗政策建模论文？
NeurIPS 2026 有 138 篇医疗政策建模论文，上一届是 94 篇。
ICLR 2026 有多少篇医疗政策建模论文？
ICLR 2026 有 58 篇医疗政策建模论文，上一届是 39 篇。
ICML 2026 有多少篇医疗政策建模论文？
ICML 2026 有 102 篇医疗政策建模论文，上一届是 61 篇。
CVPR 2026 有多少篇医疗政策建模论文？
CVPR 2026 有 37 篇医疗政策建模论文，上一届是 18 篇。
哪个会议的医疗政策建模论文最多？
NeurIPS，2023–2026 年共 332 篇。

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