Robust Decision Making with Partially Calibrated Forecasts
Fuente:
arXiv
Saved in:
| Main Authors: | Kiyani, Shayan, Hassani, Hamed, Pappas, George, Roth, Aaron |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
Conformal Prediction with Learned Features
by: Kiyani, Shayan, et al.
Published: (2024)
by: Kiyani, Shayan, et al.
Published: (2024)
Length Optimization in Conformal Prediction
by: Kiyani, Shayan, et al.
Published: (2024)
by: Kiyani, Shayan, et al.
Published: (2024)
Conformal Prediction Beyond the Seen: A Missing Mass Perspective for Uncertainty Quantification in Generative Models
by: Noorani, Sima, et al.
Published: (2025)
by: Noorani, Sima, et al.
Published: (2025)
When to Trust the Cheap Check: Weak and Strong Verification for Reasoning
by: Kiyani, Shayan, et al.
Published: (2026)
by: Kiyani, Shayan, et al.
Published: (2026)
Human-AI Collaborative Uncertainty Quantification
by: Noorani, Sima, et al.
Published: (2025)
by: Noorani, Sima, et al.
Published: (2025)
Conformal Inference under High-Dimensional Covariate Shifts via Likelihood-Ratio Regularization
by: Joshi, Sunay, et al.
Published: (2025)
by: Joshi, Sunay, et al.
Published: (2025)
Multi-Round Human-AI Collaboration with User-Specified Requirements
by: Noorani, Sima, et al.
Published: (2026)
by: Noorani, Sima, et al.
Published: (2026)
SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks
by: Robey, Alexander, et al.
Published: (2023)
by: Robey, Alexander, et al.
Published: (2023)
Temporal Difference Learning with Compressed Updates: Error-Feedback meets Reinforcement Learning
by: Mitra, Aritra, et al.
Published: (2023)
by: Mitra, Aritra, et al.
Published: (2023)
Adversarial Reasoning at Jailbreaking Time
by: Sabbaghi, Mahdi, et al.
Published: (2025)
by: Sabbaghi, Mahdi, et al.
Published: (2025)
Jailbreaking Black Box Large Language Models in Twenty Queries
by: Chao, Patrick, et al.
Published: (2023)
by: Chao, Patrick, et al.
Published: (2023)
The Relationship between No-Regret Learning and Online Conformal Prediction
by: Ramalingam, Ramya, et al.
Published: (2025)
by: Ramalingam, Ramya, et al.
Published: (2025)
Data-driven Insights for Informed Decision-Making: Applying LSTM Networks for Robust Electricity Forecasting in Libya
by: Agaal, Asma, et al.
Published: (2025)
by: Agaal, Asma, et al.
Published: (2025)
Robust Policy Optimization to Prevent Catastrophic Forgetting
by: Sabbaghi, Mahdi, et al.
Published: (2026)
by: Sabbaghi, Mahdi, et al.
Published: (2026)
Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy
by: Allen, Cameron, et al.
Published: (2024)
by: Allen, Cameron, et al.
Published: (2024)
Ontology-Enhanced Decision-Making for Autonomous Agents in Dynamic and Partially Observable Environments
by: Ghanadbashi, Saeedeh, et al.
Published: (2024)
by: Ghanadbashi, Saeedeh, et al.
Published: (2024)
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)
Uncertainty in Language Models: Assessment through Rank-Calibration
by: Huang, Xinmeng, et al.
Published: (2024)
by: Huang, Xinmeng, et al.
Published: (2024)
Evaluating the Performance of Large Language Models via Debates
by: Moniri, Behrad, et al.
Published: (2024)
by: Moniri, Behrad, et al.
Published: (2024)
Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks
by: Zhang, Lujing, et al.
Published: (2024)
by: Zhang, Lujing, et al.
Published: (2024)
An Integrated Forecasting Prototype for Emergency Department Boarding Time to Support Proactive Operational Decision Making
by: Vural, Orhun, et al.
Published: (2026)
by: Vural, Orhun, et al.
Published: (2026)
Calibration vs Decision Making: Revisiting the Reliability Paradox in Unlearned Language Models
by: Shukla, Divyaksh, et al.
Published: (2026)
by: Shukla, Divyaksh, et al.
Published: (2026)
Sim2Act: Robust Simulation-to-Decision Learning via Adversarial Calibration and Group-Relative Perturbation
by: Cao, Hongyu, et al.
Published: (2026)
by: Cao, Hongyu, et al.
Published: (2026)
PIANIST: Learning Partially Observable World Models with LLMs for Multi-Agent Decision Making
by: Light, Jonathan, et al.
Published: (2024)
by: Light, Jonathan, et al.
Published: (2024)
Optimizing the Optimizer for Physics-Informed Neural Networks and Kolmogorov-Arnold Networks
by: Kiyani, Elham, et al.
Published: (2025)
by: Kiyani, Elham, et al.
Published: (2025)
BrowserArena: Evaluating LLM Agents on Real-World Web Navigation Tasks
by: Anupam, Sagnik, et al.
Published: (2025)
by: Anupam, Sagnik, et al.
Published: (2025)
Conformal Information Pursuit for Interactively Guiding Large Language Models
by: Chan, Kwan Ho Ryan, et al.
Published: (2025)
by: Chan, Kwan Ho Ryan, et al.
Published: (2025)
What Makes a Good Diffusion Planner for Decision Making?
by: Lu, Haofei, et al.
Published: (2025)
by: Lu, Haofei, et al.
Published: (2025)
Conformal Prediction and Human Decision Making
by: Hullman, Jessica, et al.
Published: (2025)
by: Hullman, Jessica, 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)
InfoSFT: Learn More and Forget Less with Information-Aware Token Weighting
by: Sabbaghi, Mahdi, et al.
Published: (2026)
by: Sabbaghi, Mahdi, et al.
Published: (2026)
Crack Path Prediction with Operator Learning using Discrete Particle System data Generation
by: Kiyani, Elham, et al.
Published: (2025)
by: Kiyani, Elham, et al.
Published: (2025)
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)
From Stochastic Answers to Verifiable Reasoning: Interpretable Decision-Making with LLM-Generated Code
by: Mahesh, Anirudh Jaidev, et al.
Published: (2026)
by: Mahesh, Anirudh Jaidev, et al.
Published: (2026)
Potential Outcome Rankings for Counterfactual Decision Making
by: Kawakami, Yuta, et al.
Published: (2025)
by: Kawakami, Yuta, et al.
Published: (2025)
DSADF: Thinking Fast and Slow for Decision Making
by: Dou, Zhihao, et al.
Published: (2025)
by: Dou, Zhihao, et al.
Published: (2025)
Generative Models in Decision Making: A Survey
by: Shao, Xinyu, et al.
Published: (2025)
by: Shao, Xinyu, 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)
Similar Items
-
Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents
by: Kiyani, Shayan, et al.
Published: (2025) -
Conformal Prediction with Learned Features
by: Kiyani, Shayan, et al.
Published: (2024) -
Length Optimization in Conformal Prediction
by: Kiyani, Shayan, et al.
Published: (2024) -
Conformal Prediction Beyond the Seen: A Missing Mass Perspective for Uncertainty Quantification in Generative Models
by: Noorani, Sima, et al.
Published: (2025) -
When to Trust the Cheap Check: Weak and Strong Verification for Reasoning
by: Kiyani, Shayan, et al.
Published: (2026)