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 4 / 18 页

  1. ICML 2026Personalized Policy Learning through Discrete Experimentation
  2. ICML 2026Population-Aware Imitation Learning in Mean-field Games with Common Noise
  3. ICML 2026Possibilistic Predictive Uncertainty for Deep Learning
  4. ICML 2026Post-Training with Policy Gradients: Optimality and the Base Model Barrier
  5. ICML 2026Preconditioned DeltaNet: Curvature-aware Sequence Modeling for Linear Recurrences
  6. ICML 2026Predicting the Order of Upcoming Tokens Improves Language Modeling
  7. ICML 2026PRISM: Parallel Residual Iterative Sequence Model
  8. ICML 2026ProRL: Effective Reinforcement Learning for Proactive Recommendation via Rectified Policy Gradient Estimation
  9. ICML 2026Provably Efficient Policy-Reward Co-Pretraining for Adversarial Imitation Learning
  10. ICML 2026Proxy Compression for Language Modeling
  11. ICML 2026PyHealth 2.0: A Comprehensive Open-Source Toolkit for Accessible and Reproducible Clinical Deep Learning
  12. ICML 2026Q-Flow: Stable and Expressive Reinforcement Learning with Flow-based Policy
  13. ICML 2026QHyer: Q-conditioned Hybrid Attention-mamba Transformer for Offline Goal-conditioned RL
  14. ICML 2026QPKO: Differentiable QP-Embedded Deep Koopman Framework for Modeling Nonlinear Systems
  15. ICML 2026Randomized Advantage Transformation (RAT): Computing Natural Policy Gradients via Direct Backpropagation
  16. ICML 2026Recurrent Structural Policy Gradient for Partially Observable Mean Field Games
  17. ICML 2026Recursive Monte-Carlo Tree Search
  18. ICML 2026Reparameterization Flow Policy Optimization
  19. ICML 2026Reparameterization Proximal Policy Optimization
  20. ICML 2026Resource-Efficient Reinforcement for Reasoning Large Language Models via Dynamic One-Shot Policy Refinement
  21. ICML 2026Reusing Trajectories in Policy Gradients Enables Fast Convergence
  22. ICML 2026Revisiting Regularized Policy Optimization for Stable and Efficient Reinforcement Learning in Two-Player Games
  23. ICML 2026Revisiting Zeroth-Order Hessian Approximation: A Single-Step Policy Optimization Lens
  24. ICML 2026Reward Shaping Control Variates for Off-Policy Evaluation Under Sparse Rewards
  25. ICML 2026Riemannian MeanFlow
  26. ICML 2026Riemannian Metric Matching for Scalable Geometric Modeling of Distributions
  27. ICML 2026RN-D: Discretized Categorical Actors for On-Policy Reinforcement Learning
  28. ICML 2026Sample from What You See: Visuomotor Policy Learning via Diffusion Bridge with Observation-Embedded Stochastic Differential Equation
  29. ICML 2026See the Emotion: A Facial Emoji Proxy Modeling for EEG Emotion Recognition
  30. ICML 2026Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models
  31. ICML 2026Smooth Multi-Policy Causal Effect Estimation in Longitudinal Settings
  32. ICML 2026SPAR: Support-Preserving Action Rectification
  33. ICML 2026Sparse ActionGen: Accelerating Diffusion Policy with Real-time Pruning
  34. ICML 2026Stabilizing the Q-Gradient Field for Policy Smoothness in Actor-Critic Methods
  35. ICML 2026Stochastic Neural Ray Tracing for Radio Frequency Channel Modeling
  36. ICML 2026TEFormer: Structured Bidirectional Temporal Enhancement Modeling in Spiking Transformers
  37. ICML 2026The Efficiency Gap in Byte Modeling
  38. ICML 2026TMS: Trajectory-Mixed Supervision for On-Policy Self Distillation
  39. ICML 2026Tournament Style RL: Stabilizing Policy Optimization on Non Verifiable Problems
  40. ICML 2026Towards Efficient and Expressive Offline RL via Flow-Anchored Noise-conditioned Q-Learning
  41. ICML 2026TreePO: Enhancing Policy Efficacy and Inference Efficiency with Tree Modeling
  42. ICML 2026Trust Region Inverse Reinforcement Learning: Explicit Dual Ascent using Local Policy Updates
  43. ICML 2026Trust-Region Diffusion Policies for Massively Parallel On-Policy RL
  44. ICML 2026Unraveling Syntax: Language Modeling and the Substructure of Grammars
  45. ICML 2026VlogReward: Learning Multi-Dimensional Evaluation for Vlog Editing
  46. ICML 2026What Reward Structure Enables Efficient Sparse-Reward RL? A Proof-of-Concept with Policy-Aware Matrix Completion
  47. ICML 2026Zero-Shot Off-Policy Learning
  48. NeurIPS 2026$\chi$-Bench: Can AI Agents Automate End-to-End, Long-Horizon, Policy-Rich Healthcare Workflows?
  49. NeurIPS 2026A Few Teacher Steps Go a Long Way: Cost-Efficient On-Policy Data Augmentation for Agent Post-Training
  50. NeurIPS 2026Absolute State-wise Constrained Policy Optimization: High-Probability State-wise Constraints Satisfaction

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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