公共政策分析论文趋势 2023–2026

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。

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 16 篇，第 1 / 1 页

1. ICLR 2023Linear Convergence of Natural Policy Gradient Methods with Log-Linear Policies
2. ICML 2023Exponential Smoothing for Off-Policy Learning
3. ICML 2023Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy
4. ICML 2023On Many-Actions Policy Gradient
5. ICML 2023Policy Contrastive Imitation Learning
6. ICML 2023Policy Gradient in Robust MDPs with Global Convergence Guarantee
7. ICML 2023PPG Reloaded: An Empirical Study on What Matters in Phasic Policy Gradient
8. ICML 2023Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate Policies
9. ICML 2023The Optimal Approximation Factors in Misspecified Off-Policy Value Function Estimation
10. NeurIPS 2023Adaptive Data Analysis in a Balanced Adversarial Model
11. NeurIPS 2023Breaking the Communication-Privacy-Accuracy Tradeoff with $f$-Differential Privacy
12. NeurIPS 2023Creating a Public Repository for Joining Private Data
13. NeurIPS 2023Decision Tree for Locally Private Estimation with Public Data
14. NeurIPS 2023Global Optimality and Finite Sample Analysis of Softmax Off-Policy Actor Critic under State Distribution Mismatch
15. NeurIPS 2023Private Distribution Learning with Public Data: The View from Sample Compression
16. NeurIPS 2023SAMoSSA: Multivariate Singular Spectrum Analysis with Stochastic Autoregressive Noise

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。