公共政策分析论文趋势 2023–2026
政策数据分析
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 84 篇被归入该主题的论文。
主要结论
- 公共政策分析论文从 2023 年的 16 篇增长到 2026 年的 29 篇，三年间扩大到约 1.8 倍。
- NeurIPS 是发公共政策分析论文最多的会议，2023–2026 年共 45 篇，占四个会议总量的 54%。
- 交叉方向里涨得最快的是强化学习：同时属于两个主题的论文从 2023 年的 6 篇增至 2026 年的 18 篇。
- 在「社会公益」的 5 个主题里，它的 2026 年论文数排第 2；同组增长最快的电网优化是 2.6 倍，公共政策分析是 1.8 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 7 | 1 | 8 | 0 | 16 |
| 2024 | 5 | 0 | 16 | 0 | 21 |
| 2025 | 11 | 0 | 6 | 1 | 18 |
| 2026 | 22 | 1 | 5 | 1 | 29 |
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
- NeurIPS 2026Co-Evolving Policy Distillation
- ICML 2026Partial Identification of Policy Values under Network Interference
- ICLR 2026Joint Selection for Large-Scale Pre-Training Data via Policy Gradient-based Mask Learning
- CVPR 2026Real-Time Long Horizon Air Quality Forecasting via Group-Relative Policy Optimization
- NeurIPS 2025Real-Time Hyper-Personalized Generative AI Should Be Regulated to Prevent the Rise of "Digital Heroin"
- ICML 2025Improving Value Estimation Critically Enhances Vanilla Policy Gradient
- CVPR 2025AffordDP: Generalizable Diffusion Policy with Transferable Affordance
- NeurIPS 2024SafeWorld: Geo-Diverse Safety Alignment
- ICML 2024Optimal Differentially Private Model Training with Public Data
- NeurIPS 2023Creating a Public Repository for Joining Private Data
- ICML 2023Exponential Smoothing for Off-Policy Learning
- ICLR 2023Linear Convergence of Natural Policy Gradient Methods with Log-Linear Policies
- NeurIPS 2026Distributionally-Robust Policy Learning from Observational Data
- ICML 2026Personalized Policy Learning through Discrete Experimentation
- NeurIPS 2025$\textit{Hyper-GoalNet}$: Goal-Conditioned Manipulation Policy Learning with HyperNetworks
- ICML 2025Theoretical guarantees on the best-of-n alignment policy
- NeurIPS 2024Improved off-policy training of diffusion samplers
- ICML 2024Position: Considerations for Differentially Private Learning with Large-Scale Public Pretraining
- NeurIPS 2023Global Optimality and Finite Sample Analysis of Softmax Off-Policy Actor Critic under State Distribution Mismatch
- ICML 2023On Many-Actions Policy Gradient
全部公共政策分析论文
共 22 篇，第 1 / 1 页
- NeurIPS 2026Beyond SFT-to-RL: Pre-alignment via Black-box On-policy Distillation for Multimodal RL
- NeurIPS 2026Boosting Off-Policy RLVR with Data-Centric Replay
- NeurIPS 2026Co-Evolving Policy Distillation
- NeurIPS 2026Compose Your Oracles: Off Policy Improvement with Aggregated Guidance
- NeurIPS 2026Cornerstones or Stumbling Blocks? Deciphering the Rock Tokens in On-Policy Distillation
- NeurIPS 2026Distributionally-Robust Policy Learning from Observational Data
- NeurIPS 2026Don’t Let Gains FADE: Breaking Down Policy Gradient Weights in RL
- NeurIPS 2026Feedback World Model Enables Precise Guidance of Diffusion Policy
- NeurIPS 2026FLAG: Flow Policy MaxEnt-RL by Latent Augmented Guidance
- NeurIPS 2026Global linear convergence of entropy-regularized softmax policy gradient beyond tabular MDPs
- NeurIPS 2026Jump Start Your Policy Learning with Lessons from 145,000 Training Runs
- NeurIPS 2026Learning Multimodal One-step Flow Policy via Value-weighted Optimal Transport
- NeurIPS 2026METAFORGET: Audit-Driven Update-Policy Learning for Reliable Language Model Unlearning
- NeurIPS 2026Off-policy Learning with Excursion Policies
- NeurIPS 2026Policy Gradient Algorithms in Average-Reward Multichain MDPs
- NeurIPS 2026Policy Regret Minimization in Partially Observable Markov Games
- NeurIPS 2026Proposing Better Rollouts for On-Policy Distillation
- NeurIPS 2026Reverse to Advance: Teleoperation-Cost Effective Hard Policy Learning from Reversed Easy Tasks
- NeurIPS 2026Selective Off-Policy Reference Tuning with Plan Guidance
- NeurIPS 2026The AI Observatory: A Public Measure of Real-World AI Use
- NeurIPS 2026Trust Region Policy Distillation
- NeurIPS 2026Your Teacher Can’t Help You Here: Combating Supervision Fidelity Decay in On-Policy Distillation
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 查公共政策分析在 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": "public-policy-analytics"}
常见问题
- 2023–2026 年四大会议一共有多少篇公共政策分析论文？
- 共 84 篇，按年份分别是 2023 年 16 篇、2024 年 21 篇、2025 年 18 篇、2026 年 29 篇。
- NeurIPS 2026 有多少篇公共政策分析论文？
- NeurIPS 2026 有 22 篇公共政策分析论文，上一届是 11 篇。
- ICLR 2026 有多少篇公共政策分析论文？
- ICLR 2026 有 1 篇公共政策分析论文。
- ICML 2026 有多少篇公共政策分析论文？
- ICML 2026 有 5 篇公共政策分析论文，上一届是 6 篇。
- CVPR 2026 有多少篇公共政策分析论文？
- CVPR 2026 有 1 篇公共政策分析论文，上一届是 1 篇。
- 哪个会议的公共政策分析论文最多？
- NeurIPS，2023–2026 年共 45 篇。