Saved in:
| Main Authors: | Brown, Esther, Dean, Victoria, Doshi-Velez, Finale |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.14738 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Reinforcement Learning Interventions on Boundedly Rational Human Agents in Frictionful Tasks
by: Nofshin, Eura, et al.
Published: (2024)
by: Nofshin, Eura, et al.
Published: (2024)
On the Effective Horizon of Inverse Reinforcement Learning
by: Xu, Yiqing, et al.
Published: (2023)
by: Xu, Yiqing, et al.
Published: (2023)
A Benchmark for Multi-Party Negotiation Games from Real Negotiation Data
by: Benac, Leo, et al.
Published: (2026)
by: Benac, Leo, et al.
Published: (2026)
Decision-Focused Model-based Reinforcement Learning for Reward Transfer
by: Sharma, Abhishek, et al.
Published: (2023)
by: Sharma, Abhishek, et al.
Published: (2023)
Connecting Federated ADMM to Bayes
by: Swaroop, Siddharth, et al.
Published: (2025)
by: Swaroop, Siddharth, et al.
Published: (2025)
AI Procurement Checklists: Revisiting Implementation in the Age of AI Governance
by: Zick, Tom, et al.
Published: (2024)
by: Zick, Tom, et al.
Published: (2024)
Bayesian Inverse Transition Learning: Learning Dynamics From Near-Optimal Trajectories
by: Benac, Leo, et al.
Published: (2024)
by: Benac, Leo, et al.
Published: (2024)
Accuracy-Time Tradeoffs in AI-Assisted Decision Making under Time Pressure
by: Swaroop, Siddharth, et al.
Published: (2023)
by: Swaroop, Siddharth, et al.
Published: (2023)
Towards Integrating Personal Knowledge into Test-Time Predictions
by: Lage, Isaac, et al.
Published: (2024)
by: Lage, Isaac, et al.
Published: (2024)
Towards Regulatable AI Systems: Technical Gaps and Policy Opportunities
by: Shen, Xudong, et al.
Published: (2023)
by: Shen, Xudong, et al.
Published: (2023)
Contrastive Explanations That Anticipate Human Misconceptions Can Improve Human Decision-Making Skills
by: Buçinca, Zana, et al.
Published: (2024)
by: Buçinca, Zana, et al.
Published: (2024)
Diverse Concept Proposals for Concept Bottleneck Models
by: Brown, Katrina, et al.
Published: (2024)
by: Brown, Katrina, et al.
Published: (2024)
Non-Stationary Latent Auto-Regressive Bandits
by: Trella, Anna L., et al.
Published: (2024)
by: Trella, Anna L., et al.
Published: (2024)
Shaping AI's Impact on Billions of Lives
by: Cuéllar, Mariano-Florentino, et al.
Published: (2024)
by: Cuéllar, Mariano-Florentino, et al.
Published: (2024)
Strategically Linked Decisions in Long-Term Planning and Reinforcement Learning
by: Hüyük, Alihan, et al.
Published: (2025)
by: Hüyük, Alihan, et al.
Published: (2025)
Semi-parametric Expert Bayesian Network Learning with Gaussian Processes and Horseshoe Priors
by: Weng, Yidou, et al.
Published: (2024)
by: Weng, Yidou, et al.
Published: (2024)
A Sim2Real Approach for Identifying Task-Relevant Properties in Interpretable Machine Learning
by: Nofshin, Eura, et al.
Published: (2024)
by: Nofshin, Eura, et al.
Published: (2024)
A Deployed Online Reinforcement Learning Algorithm In An Oral Health Clinical Trial
by: Trella, Anna L., et al.
Published: (2024)
by: Trella, Anna L., et al.
Published: (2024)
Effective Monitoring of Online Decision-Making Algorithms in Digital Intervention Implementation
by: Trella, Anna L., et al.
Published: (2024)
by: Trella, Anna L., et al.
Published: (2024)
Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions
by: Erturk, Eray, et al.
Published: (2025)
by: Erturk, Eray, et al.
Published: (2025)
Monitoring Fidelity of Online Reinforcement Learning Algorithms in Clinical Trials
by: Trella, Anna L., et al.
Published: (2024)
by: Trella, Anna L., et al.
Published: (2024)
Transforming Wearable Data into Personal Health Insights using Large Language Model Agents
by: Merrill, Mike A., et al.
Published: (2024)
by: Merrill, Mike A., et al.
Published: (2024)
Integrating Wearable Sensor Data and Self-reported Diaries for Personalized Affect Forecasting
by: Yang, Zhongqi, et al.
Published: (2024)
by: Yang, Zhongqi, et al.
Published: (2024)
Automated Discovery of Conservation Laws via Hybrid Neural ODE-Transformers
by: Doshi, Vivan
Published: (2025)
by: Doshi, Vivan
Published: (2025)
Towards Model-Agnostic Posterior Approximation for Fast and Accurate Variational Autoencoders
by: Yacoby, Yaniv, et al.
Published: (2024)
by: Yacoby, Yaniv, et al.
Published: (2024)
Health-LLM: Large Language Models for Health Prediction via Wearable Sensor Data
by: Kim, Yubin, et al.
Published: (2024)
by: Kim, Yubin, et al.
Published: (2024)
Wearable Meets LLM for Stress Management: A Duoethnographic Study Integrating Wearable-Triggered Stressors and LLM Chatbots for Personalized Interventions
by: Neupane, Sameer, et al.
Published: (2025)
by: Neupane, Sameer, et al.
Published: (2025)
A Benchmark to Assess Common Ground in Human-AI Collaboration
by: Poelitz, Christian, et al.
Published: (2026)
by: Poelitz, Christian, et al.
Published: (2026)
Guarantee Regions for Local Explanations
by: Havasi, Marton, et al.
Published: (2024)
by: Havasi, Marton, et al.
Published: (2024)
VitalAgent: A Tool-Augmented Agent for Reactive and Proactive Physiological Monitoring over Wearable Health Data
by: Zhu, Di, et al.
Published: (2026)
by: Zhu, Di, et al.
Published: (2026)
Challenges and Limitations of Generative AI in Synthesizing Wearable Sensor Data
by: Di Martino, Flavio, et al.
Published: (2025)
by: Di Martino, Flavio, et al.
Published: (2025)
Detecting Neurovascular Instability from Multimodal Physiological Signals Using Wearable-Compatible Edge AI: A Responsible Computational Framework
by: Hoa, Truong Quynh, et al.
Published: (2026)
by: Hoa, Truong Quynh, et al.
Published: (2026)
Understanding the Relationship between Prompts and Response Uncertainty in Large Language Models
by: Zhang, Ze Yu, et al.
Published: (2024)
by: Zhang, Ze Yu, et al.
Published: (2024)
Response-Aware User Memory Selection for LLM Personalization
by: Fisher, Jillian, et al.
Published: (2026)
by: Fisher, Jillian, et al.
Published: (2026)
Beyond Accuracy: Risk-Sensitive Evaluation of Hallucinated Medical Advice
by: Doshi, Savan
Published: (2026)
by: Doshi, Savan
Published: (2026)
CoDaS: AI Co-Data-Scientist for Biomarker Discovery via Wearable Sensors
by: Kim, Yubin, et al.
Published: (2026)
by: Kim, Yubin, et al.
Published: (2026)
Prediction of Challenging Behaviors Associated with Profound Autism in a Classroom Setting Using Wearable Sensors
by: Kartha, Yadhu, et al.
Published: (2026)
by: Kartha, Yadhu, et al.
Published: (2026)
ECG-WM: A Physiology-Informed ECG World Model for Clinical Intervention Simulation
by: Chen, Zhikang, et al.
Published: (2026)
by: Chen, Zhikang, et al.
Published: (2026)
Query-Conditioned Graph Retrieval for Contextualized LLM Reasoning in Personalized Wearable Data
by: Lu, Zhenyu, et al.
Published: (2026)
by: Lu, Zhenyu, et al.
Published: (2026)
SensorLM: Learning the Language of Wearable Sensors
by: Zhang, Yuwei, et al.
Published: (2025)
by: Zhang, Yuwei, et al.
Published: (2025)
Similar Items
-
Reinforcement Learning Interventions on Boundedly Rational Human Agents in Frictionful Tasks
by: Nofshin, Eura, et al.
Published: (2024) -
On the Effective Horizon of Inverse Reinforcement Learning
by: Xu, Yiqing, et al.
Published: (2023) -
A Benchmark for Multi-Party Negotiation Games from Real Negotiation Data
by: Benac, Leo, et al.
Published: (2026) -
Decision-Focused Model-based Reinforcement Learning for Reward Transfer
by: Sharma, Abhishek, et al.
Published: (2023) -
Connecting Federated ADMM to Bayes
by: Swaroop, Siddharth, et al.
Published: (2025)