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

11 papers, page 1 of 1

1. NeurIPS 2025$\textit{Hyper-GoalNet}$: Goal-Conditioned Manipulation Policy Learning with HyperNetworks
2. NeurIPS 20253D Equivariant Visuomotor Policy Learning via Spherical Projection
3. NeurIPS 2025Does Stochastic Gradient really succeed for bandits?
4. NeurIPS 2025Flattening Hierarchies with Policy Bootstrapping
5. NeurIPS 2025FreqPolicy: Efficient Flow-based Visuomotor Policy via Frequency Consistency
6. NeurIPS 2025Latent Policy Barrier: Learning Robust Visuomotor Policies by Staying In-Distribution
7. NeurIPS 2025NeurIPS should lead scientific consensus on AI policy
8. NeurIPS 2025Policy Compatible Skill Incremental Learning via Lazy Learning Interface
9. NeurIPS 2025Real-Time Hyper-Personalized Generative AI Should Be Regulated to Prevent the Rise of "Digital Heroin"
10. NeurIPS 2025Regret Analysis of Average-Reward Unichain MDPs via an Actor-Critic Approach
11. NeurIPS 2025Structure Matters: Dynamic Policy Gradient

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.