Healthcare Policy Modeling papers, 2023–2026

Key findings

• Healthcare Policy Modeling went from 134 papers in 2023 to 335 in 2026, roughly 2.5x in three years.
• NeurIPS publishes the most Healthcare Policy Modeling work: 332 papers from 2023 to 2026, 38% of the four-venue total.
• The fastest-growing overlap is with Diffusion Models: papers tagged with both rose from 3 in 2023 to 30 in 2026.
• Among the 5 topics under Health and Life Sciences, it ranks #1 by 2026 paper count; the fastest grower in the group, Clinical NLP, is up 3.2x versus 2.5x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026$\chi$-Bench: Can AI Agents Automate End-to-End, Long-Horizon, Policy-Rich Healthcare Workflows?
• ICML 2026Active Policy Optimization for Individualized Dosing via Gradient Variance Minimization
• ICLR 2026A Scalable Inter-edge Correlation Modeling in CopulaGNN for Link Sign Prediction
• CVPR 2026Continuous Exposure-Time Modeling for Realistic Atmospheric Turbulence Synthesis
• NeurIPS 2025$\textit{Hyper-GoalNet}$: Goal-Conditioned Manipulation Policy Learning with HyperNetworks
• ICML 2025How Transformers Learn Structured Data: Insights From Hierarchical Filtering
• ICLR 2025HyPoGen: Optimization-Biased Hypernetworks for Generalizable Policy Generation
• CVPR 2025Bridging Gait Recognition and Large Language Models Sequence Modeling
• NeurIPS 20244DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs
• ICML 2024ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization
• ICLR 2024Learning to Act from Actionless Videos through Dense Correspondences
• CVPR 2024MonoHair: High-Fidelity Hair Modeling from a Monocular Video
• NeurIPS 2023AirDelhi: Fine-Grained Spatio-Temporal Particulate Matter Dataset From Delhi For ML based Modeling
• ICML 2023Adaptive Barrier Smoothing for First-Order Policy Gradient with Contact Dynamics
• ICLR 2023An Adaptive Policy to Employ Sharpness-Aware Minimization
• CVPR 2023BAAM: Monocular 3D Pose and Shape Reconstruction With Bi-Contextual Attention Module and Attention-Guided Modeling
• NeurIPS 2026Budgeted Multi-Source Counterfactual Annotation for Off-Policy Evaluation
• ICML 2026Efficient Continuous-Depth Modeling with GRU Equivalents
• ICLR 2026Chessformer: A Unified Architecture for Chess Modeling
• CVPR 2026D-Prism Differentiable Primitives for Structured Dynamic Modeling

All Healthcare Policy Modeling papers

875 papers, page 4 of 18

151. ICML 2026Personalized Policy Learning through Discrete Experimentation
152. ICML 2026Population-Aware Imitation Learning in Mean-field Games with Common Noise
153. ICML 2026Possibilistic Predictive Uncertainty for Deep Learning
154. ICML 2026Post-Training with Policy Gradients: Optimality and the Base Model Barrier
155. ICML 2026Preconditioned DeltaNet: Curvature-aware Sequence Modeling for Linear Recurrences
156. ICML 2026Predicting the Order of Upcoming Tokens Improves Language Modeling
157. ICML 2026PRISM: Parallel Residual Iterative Sequence Model
158. ICML 2026ProRL: Effective Reinforcement Learning for Proactive Recommendation via Rectified Policy Gradient Estimation
159. ICML 2026Provably Efficient Policy-Reward Co-Pretraining for Adversarial Imitation Learning
160. ICML 2026Proxy Compression for Language Modeling
161. ICML 2026PyHealth 2.0: A Comprehensive Open-Source Toolkit for Accessible and Reproducible Clinical Deep Learning
162. ICML 2026Q-Flow: Stable and Expressive Reinforcement Learning with Flow-based Policy
163. ICML 2026QHyer: Q-conditioned Hybrid Attention-mamba Transformer for Offline Goal-conditioned RL
164. ICML 2026QPKO: Differentiable QP-Embedded Deep Koopman Framework for Modeling Nonlinear Systems
165. ICML 2026Randomized Advantage Transformation (RAT): Computing Natural Policy Gradients via Direct Backpropagation
166. ICML 2026Recurrent Structural Policy Gradient for Partially Observable Mean Field Games
167. ICML 2026Recursive Monte-Carlo Tree Search
168. ICML 2026Reparameterization Flow Policy Optimization
169. ICML 2026Reparameterization Proximal Policy Optimization
170. ICML 2026Resource-Efficient Reinforcement for Reasoning Large Language Models via Dynamic One-Shot Policy Refinement
171. ICML 2026Reusing Trajectories in Policy Gradients Enables Fast Convergence
172. ICML 2026Revisiting Regularized Policy Optimization for Stable and Efficient Reinforcement Learning in Two-Player Games
173. ICML 2026Revisiting Zeroth-Order Hessian Approximation: A Single-Step Policy Optimization Lens
174. ICML 2026Reward Shaping Control Variates for Off-Policy Evaluation Under Sparse Rewards
175. ICML 2026Riemannian MeanFlow
176. ICML 2026Riemannian Metric Matching for Scalable Geometric Modeling of Distributions
177. ICML 2026RN-D: Discretized Categorical Actors for On-Policy Reinforcement Learning
178. ICML 2026Sample from What You See: Visuomotor Policy Learning via Diffusion Bridge with Observation-Embedded Stochastic Differential Equation
179. ICML 2026See the Emotion: A Facial Emoji Proxy Modeling for EEG Emotion Recognition
180. ICML 2026Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models
181. ICML 2026Smooth Multi-Policy Causal Effect Estimation in Longitudinal Settings
182. ICML 2026SPAR: Support-Preserving Action Rectification
183. ICML 2026Sparse ActionGen: Accelerating Diffusion Policy with Real-time Pruning
184. ICML 2026Stabilizing the Q-Gradient Field for Policy Smoothness in Actor-Critic Methods
185. ICML 2026Stochastic Neural Ray Tracing for Radio Frequency Channel Modeling
186. ICML 2026TEFormer: Structured Bidirectional Temporal Enhancement Modeling in Spiking Transformers
187. ICML 2026The Efficiency Gap in Byte Modeling
188. ICML 2026TMS: Trajectory-Mixed Supervision for On-Policy Self Distillation
189. ICML 2026Tournament Style RL: Stabilizing Policy Optimization on Non Verifiable Problems
190. ICML 2026Towards Efficient and Expressive Offline RL via Flow-Anchored Noise-conditioned Q-Learning
191. ICML 2026TreePO: Enhancing Policy Efficacy and Inference Efficiency with Tree Modeling
192. ICML 2026Trust Region Inverse Reinforcement Learning: Explicit Dual Ascent using Local Policy Updates
193. ICML 2026Trust-Region Diffusion Policies for Massively Parallel On-Policy RL
194. ICML 2026Unraveling Syntax: Language Modeling and the Substructure of Grammars
195. ICML 2026VlogReward: Learning Multi-Dimensional Evaluation for Vlog Editing
196. ICML 2026What Reward Structure Enables Efficient Sparse-Reward RL? A Proof-of-Concept with Policy-Aware Matrix Completion
197. ICML 2026Zero-Shot Off-Policy Learning
198. NeurIPS 2026$\chi$-Bench: Can AI Agents Automate End-to-End, Long-Horizon, Policy-Rich Healthcare Workflows?
199. NeurIPS 2026A Few Teacher Steps Go a Long Way: Cost-Efficient On-Policy Data Augmentation for Agent Post-Training
200. NeurIPS 2026Absolute State-wise Constrained Policy Optimization: High-Probability State-wise Constraints Satisfaction

FAQ

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

875 in total: 134 in 2023, 194 in 2024, 212 in 2025, 335 in 2026.

How many Healthcare Policy Modeling papers are at NeurIPS 2026?

NeurIPS 2026 has 138 Healthcare Policy Modeling papers, versus 94 the year before.

How many Healthcare Policy Modeling papers are at ICLR 2026?

ICLR 2026 has 58 Healthcare Policy Modeling papers, versus 39 the year before.

How many Healthcare Policy Modeling papers are at ICML 2026?

ICML 2026 has 102 Healthcare Policy Modeling papers, versus 61 the year before.

How many Healthcare Policy Modeling papers are at CVPR 2026?

CVPR 2026 has 37 Healthcare Policy Modeling papers, versus 18 the year before.

Which conference publishes the most Healthcare Policy Modeling papers?

NeurIPS, with 332 papers from 2023 to 2026.