Public Policy Analytics papers, 2023–2026

Key findings

• Public Policy Analytics went from 16 papers in 2023 to 29 in 2026, roughly 1.8x in three years.
• NeurIPS publishes the most Public Policy Analytics work: 45 papers from 2023 to 2026, 54% of the four-venue total.
• The fastest-growing overlap is with Reinforcement Learning: papers tagged with both rose from 6 in 2023 to 18 in 2026.
• Among the 5 topics under AI for Social Good, it ranks #2 by 2026 paper count; the fastest grower in the group, Energy Grid Optimization, is up 2.6x versus 1.8x here.

Representative papers

Spread across years and venues so every edition shows up

• 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

All Public Policy Analytics papers

35 papers, page 1 of 1

1. ICML 2026Partial Identification of Policy Values under Network Interference
2. ICML 2026Personalized Policy Learning through Discrete Experimentation
3. ICML 2026Recurrent Structural Policy Gradient for Partially Observable Mean Field Games
4. ICML 2026Reusing Trajectories in Policy Gradients Enables Fast Convergence
5. ICML 2026Unlearning with Asymmetric Sources: Improved Unlearning-Utility Trade-off with Public Data
6. ICML 2025Convergence Analysis of Policy Gradient Methods with Dynamic Stochasticity
7. ICML 2025Distributed Differentially Private Data Analytics via Secure Sketching
8. ICML 2025Improving Value Estimation Critically Enhances Vanilla Policy Gradient
9. ICML 2025Return Capping: Sample Efficient CVaR Policy Gradient Optimisation
10. ICML 2025The Value of Prediction in Identifying the Worst-Off
11. ICML 2025Theoretical guarantees on the best-of-n alignment policy
12. ICML 2024ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization
13. ICML 2024Building Socially-Equitable Public Models
14. ICML 2024Fair Off-Policy Learning from Observational Data
15. ICML 2024Feasible Reachable Policy Iteration
16. ICML 2024GFlowNet Training by Policy Gradients
17. ICML 2024Learning Optimal Deterministic Policies with Stochastic Policy Gradients
18. ICML 2024Mollification Effects of Policy Gradient Methods
19. ICML 2024Offline-Boosted Actor-Critic: Adaptively Blending Optimal Historical Behaviors in Deep Off-Policy RL
20. ICML 2024On the Second-Order Convergence of Biased Policy Gradient Algorithms
21. ICML 2024Optimal Differentially Private Model Training with Public Data
22. ICML 2024Policy-conditioned Environment Models are More Generalizable
23. ICML 2024Position: Amazing Things Come From Having Many Good Models
24. ICML 2024Position: Considerations for Differentially Private Learning with Large-Scale Public Pretraining
25. ICML 2024ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive Advantages
26. ICML 2024Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-Critic
27. ICML 2024Stealthy Imitation: Reward-guided Environment-free Policy Stealing
28. ICML 2023Exponential Smoothing for Off-Policy Learning
29. ICML 2023Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy
30. ICML 2023On Many-Actions Policy Gradient
31. ICML 2023Policy Contrastive Imitation Learning
32. ICML 2023Policy Gradient in Robust MDPs with Global Convergence Guarantee
33. ICML 2023PPG Reloaded: An Empirical Study on What Matters in Phasic Policy Gradient
34. ICML 2023Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate Policies
35. ICML 2023The Optimal Approximation Factors in Misspecified Off-Policy Value Function Estimation

FAQ

How many Public Policy Analytics papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

84 in total: 16 in 2023, 21 in 2024, 18 in 2025, 29 in 2026.

How many Public Policy Analytics papers are at NeurIPS 2026?

NeurIPS 2026 has 22 Public Policy Analytics papers, versus 11 the year before.

How many Public Policy Analytics papers are at ICLR 2026?

ICLR 2026 has 1 Public Policy Analytics papers.

How many Public Policy Analytics papers are at ICML 2026?

ICML 2026 has 5 Public Policy Analytics papers, versus 6 the year before.

How many Public Policy Analytics papers are at CVPR 2026?

CVPR 2026 has 1 Public Policy Analytics papers, versus 1 the year before.

Which conference publishes the most Public Policy Analytics papers?

NeurIPS, with 45 papers from 2023 to 2026.