Conformal Prediction and Human Decision Making
Fuente:
arXiv
Saved in:
| Main Authors: | Hullman, Jessica, Wu, Yifan, Xie, Dawei, Guo, Ziyang, Gelman, Andrew |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Explaining and Improving Information Complementarities in Multi-Agent Decision-making
by: Guo, Ziyang, et al.
Published: (2025)
by: Guo, Ziyang, et al.
Published: (2025)
Explanations are a Means to an End: Decision Theoretic Explanation Evaluation
by: Guo, Ziyang, et al.
Published: (2025)
by: Guo, Ziyang, et al.
Published: (2025)
A Decision Theoretic Framework for Measuring AI Reliance
by: Guo, Ziyang, et al.
Published: (2024)
by: Guo, Ziyang, et al.
Published: (2024)
Unexploited Information Value in Human-AI Collaboration
by: Guo, Ziyang, et al.
Published: (2024)
by: Guo, Ziyang, et al.
Published: (2024)
ComplLLM: Fine-tuning LLMs to Discover Complementary Signals for Decision-making
by: Guo, Ziyang, et al.
Published: (2026)
by: Guo, Ziyang, et al.
Published: (2026)
Predicting Business Angel Early-Stage Decision Making Using AI
by: Katcharovski, Yan, et al.
Published: (2025)
by: Katcharovski, Yan, et al.
Published: (2025)
One Sample is Enough to Make Conformal Prediction Robust
by: Zargarbashi, Soroush H., et al.
Published: (2025)
by: Zargarbashi, Soroush H., et al.
Published: (2025)
Generative Models, Humans, Predictive Models: Who Is Worse at High-Stakes Decision Making?
by: Mallari, Keri, et al.
Published: (2024)
by: Mallari, Keri, et al.
Published: (2024)
A Conceptual Framework for Ethical Evaluation of Machine Learning Systems
by: Gupta, Neha R., et al.
Published: (2024)
by: Gupta, Neha R., et al.
Published: (2024)
Prune 'n Predict: Optimizing LLM Decision-making with Conformal Prediction
by: Vishwakarma, Harit, et al.
Published: (2024)
by: Vishwakarma, Harit, et al.
Published: (2024)
Online Sequential Decision-Making with Unknown Delays
by: Wu, Ping, et al.
Published: (2024)
by: Wu, Ping, et al.
Published: (2024)
Underspecified Human Decision Experiments Considered Harmful
by: Hullman, Jessica, et al.
Published: (2024)
by: Hullman, Jessica, et al.
Published: (2024)
DSADF: Thinking Fast and Slow for Decision Making
by: Dou, Zhihao, et al.
Published: (2025)
by: Dou, Zhihao, et al.
Published: (2025)
Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents
by: Kiyani, Shayan, et al.
Published: (2025)
by: Kiyani, Shayan, et al.
Published: (2025)
Reconciling Model Multiplicity for Downstream Decision Making
by: Du, Ally Yalei, et al.
Published: (2024)
by: Du, Ally Yalei, et al.
Published: (2024)
Comparative Explanations: Explanation Guided Decision Making for Human-in-the-Loop Preference Selection
by: Chakraborty, Tanmay, et al.
Published: (2025)
by: Chakraborty, Tanmay, et al.
Published: (2025)
Mind the Gap: A Causal Perspective on Bias Amplification in Prediction & Decision-Making
by: Plecko, Drago, et al.
Published: (2024)
by: Plecko, Drago, et al.
Published: (2024)
Generative Models in Decision Making: A Survey
by: Shao, Xinyu, et al.
Published: (2025)
by: Shao, Xinyu, et al.
Published: (2025)
Measuring Free-Form Decision-Making Inconsistency of Language Models in Military Crisis Simulations
by: Shrivastava, Aryan, et al.
Published: (2024)
by: Shrivastava, Aryan, et al.
Published: (2024)
Adaptive Individual Uncertainty under Out-Of-Distribution Shift with Expert-Routed Conformal Prediction
by: Badkul, Amitesh, et al.
Published: (2025)
by: Badkul, Amitesh, et al.
Published: (2025)
Conformal Depression Prediction
by: Li, Yonghong, et al.
Published: (2024)
by: Li, Yonghong, et al.
Published: (2024)
What Makes a Good Diffusion Planner for Decision Making?
by: Lu, Haofei, et al.
Published: (2025)
by: Lu, Haofei, et al.
Published: (2025)
Beyond the Known: Decision Making with Counterfactual Reasoning Decision Transformer
by: Nguyen, Minh Hoang, et al.
Published: (2025)
by: Nguyen, Minh Hoang, et al.
Published: (2025)
On The Statistical Complexity of Offline Decision-Making
by: Nguyen-Tang, Thanh, et al.
Published: (2025)
by: Nguyen-Tang, Thanh, et al.
Published: (2025)
Towards Cost Sensitive Decision Making
by: Li, Yang, et al.
Published: (2024)
by: Li, Yang, et al.
Published: (2024)
Making Conformal Predictors Robust in Healthcare Settings: a Case Study on EEG Classification
by: Chatterjee, Arjun, et al.
Published: (2026)
by: Chatterjee, Arjun, et al.
Published: (2026)
Sentiment Analysis Based on RoBERTa for Amazon Review: An Empirical Study on Decision Making
by: Guo, Xinli
Published: (2024)
by: Guo, Xinli
Published: (2024)
Conformal Prediction as Bayesian Quadrature
by: Snell, Jake C., et al.
Published: (2025)
by: Snell, Jake C., et al.
Published: (2025)
Conformal Prediction with Learned Features
by: Kiyani, Shayan, et al.
Published: (2024)
by: Kiyani, Shayan, et al.
Published: (2024)
Predictive Inference With Fast Feature Conformal Prediction
by: Tang, Zihao, et al.
Published: (2024)
by: Tang, Zihao, et al.
Published: (2024)
Decision Transformer vs. Decision Mamba: Analysing the Complexity of Sequential Decision Making in Atari Games
by: Yan, Ke
Published: (2024)
by: Yan, Ke
Published: (2024)
Potential Outcome Rankings for Counterfactual Decision Making
by: Kawakami, Yuta, et al.
Published: (2025)
by: Kawakami, Yuta, et al.
Published: (2025)
Robust Decision Making with Partially Calibrated Forecasts
by: Kiyani, Shayan, et al.
Published: (2025)
by: Kiyani, Shayan, et al.
Published: (2025)
Decomposing Epistemic Uncertainty for Causal Decision Making
by: Rahman, Md Musfiqur, et al.
Published: (2026)
by: Rahman, Md Musfiqur, et al.
Published: (2026)
Reward Design for Justifiable Sequential Decision-Making
by: Sukovic, Aleksa, et al.
Published: (2024)
by: Sukovic, Aleksa, et al.
Published: (2024)
Conditional Coverage Diagnostics for Conformal Prediction
by: Braun, Sacha, et al.
Published: (2025)
by: Braun, Sacha, et al.
Published: (2025)
Conformal Prediction Sets for Deep Generative Models via Reduction to Conformal Regression
by: Shahrokhi, Hooman, et al.
Published: (2025)
by: Shahrokhi, Hooman, et al.
Published: (2025)
Act as You Learn: Adaptive Decision-Making in Non-Stationary Markov Decision Processes
by: Luo, Baiting, et al.
Published: (2024)
by: Luo, Baiting, et al.
Published: (2024)
Translating the Rashomon Effect to Sequential Decision-Making Tasks
by: Gross, Dennis, et al.
Published: (2025)
by: Gross, Dennis, et al.
Published: (2025)
Hierarchical Decision Making Based on Structural Information Principles
by: Zeng, Xianghua, et al.
Published: (2024)
by: Zeng, Xianghua, et al.
Published: (2024)
Similar Items
-
Explaining and Improving Information Complementarities in Multi-Agent Decision-making
by: Guo, Ziyang, et al.
Published: (2025) -
Explanations are a Means to an End: Decision Theoretic Explanation Evaluation
by: Guo, Ziyang, et al.
Published: (2025) -
A Decision Theoretic Framework for Measuring AI Reliance
by: Guo, Ziyang, et al.
Published: (2024) -
Unexploited Information Value in Human-AI Collaboration
by: Guo, Ziyang, et al.
Published: (2024) -
ComplLLM: Fine-tuning LLMs to Discover Complementary Signals for Decision-making
by: Guo, Ziyang, et al.
Published: (2026)