Saved in:
| Main Authors: | Tan, Lezhi, Sagan, Naomi, Lei, Lihua, Blanchet, Jose |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.13688 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Spatial Heterogeneity in Climate Risk and Human Flourishing: An Exploration with Generative AI
by: Iacus, Stefano Maria, et al.
Published: (2026)
by: Iacus, Stefano Maria, et al.
Published: (2026)
Learning When to Trust LLM Priors: A Validated Framework for Semantic Prior Integration
by: Zhang, Erica, et al.
Published: (2026)
by: Zhang, Erica, et al.
Published: (2026)
Discretion in the Loop: Human Expertise in Algorithm-Assisted College Advising
by: Schechtman, Kara, et al.
Published: (2025)
by: Schechtman, Kara, et al.
Published: (2025)
Robust Generalization with Adaptive Optimal Transport Priors for Decision-Focused Learning
by: Sun, Haixiang, et al.
Published: (2026)
by: Sun, Haixiang, et al.
Published: (2026)
Using Sequences of Life-events to Predict Human Lives
by: Savcisens, Germans, et al.
Published: (2023)
by: Savcisens, Germans, et al.
Published: (2023)
Human-in-the-loop: Towards Label Embeddings for Measuring Classification Difficulty
by: Hechinger, Katharina, et al.
Published: (2023)
by: Hechinger, Katharina, et al.
Published: (2023)
Mining Causality: AI-Assisted Search for Instrumental Variables
by: Han, Sukjin
Published: (2024)
by: Han, Sukjin
Published: (2024)
Human Limits in Machine Learning: Prediction of Plant Phenotypes Using Soil Microbiome Data
by: Aghdam, Rosa, et al.
Published: (2023)
by: Aghdam, Rosa, et al.
Published: (2023)
Pruning the Path to Optimal Care: Identifying Systematically Suboptimal Medical Decision-Making with Inverse Reinforcement Learning
by: Bovenzi, Inko, et al.
Published: (2024)
by: Bovenzi, Inko, et al.
Published: (2024)
Towards Responsible AI in Banking: Addressing Bias for Fair Decision-Making
by: Castelnovo, Alessandro
Published: (2024)
by: Castelnovo, Alessandro
Published: (2024)
How Should We Represent History in Interpretable Models of Clinical Policies?
by: Matsson, Anton, et al.
Published: (2024)
by: Matsson, Anton, et al.
Published: (2024)
A Comprehensive Approach to Carbon Dioxide Emission Analysis in High Human Development Index Countries using Statistical and Machine Learning Techniques
by: Khosravi, Hamed, et al.
Published: (2024)
by: Khosravi, Hamed, et al.
Published: (2024)
Evaluating Weather Forecasts from a Decision Maker's Perspective
by: Raeth, Kornelius, et al.
Published: (2025)
by: Raeth, Kornelius, et al.
Published: (2025)
Errors in AI-Assisted Retrieval of Medical Literature: A Comparative Study
by: Gao, Jenny, et al.
Published: (2026)
by: Gao, Jenny, et al.
Published: (2026)
Optimal Transport for Treatment Effect Estimation
by: Wang, Hao, et al.
Published: (2023)
by: Wang, Hao, et al.
Published: (2023)
Differentially Private Modeling of Disease Transmission within Human Contact Networks
by: Hod, Shlomi, et al.
Published: (2026)
by: Hod, Shlomi, et al.
Published: (2026)
Why You Should Not Trust Interpretations in Machine Learning: Adversarial Attacks on Partial Dependence Plots
by: Xin, Xi, et al.
Published: (2024)
by: Xin, Xi, et al.
Published: (2024)
Optimal starting point for time series forecasting
by: Zhong, Yiming, et al.
Published: (2024)
by: Zhong, Yiming, et al.
Published: (2024)
Decision Support for Marketplace Policies under Incomplete Evidence: From Replay to Launch Readiness
by: Shekhar, Prashant, et al.
Published: (2026)
by: Shekhar, Prashant, et al.
Published: (2026)
Understanding When Graph Convolutional Networks Help: A Diagnostic Study on Label Scarcity and Structural Properties
by: Subedi, Nischal, et al.
Published: (2025)
by: Subedi, Nischal, et al.
Published: (2025)
Integrating Response Time and Attention Duration in Bayesian Preference Learning for Multiple Criteria Decision Aiding
by: Jiang, Jiaxuan, et al.
Published: (2025)
by: Jiang, Jiaxuan, et al.
Published: (2025)
Structured Matching via Cost-Regularized Unbalanced Optimal Transport
by: Pardini, Emanuele, et al.
Published: (2025)
by: Pardini, Emanuele, et al.
Published: (2025)
Learning Penalty for Optimal Partitioning via Automatic Feature Extraction
by: Nguyen, Tung L, et al.
Published: (2025)
by: Nguyen, Tung L, et al.
Published: (2025)
Deep Optimal Sensor Placement for Black Box Stochastic Simulations
by: Cordero-Encinar, Paula, et al.
Published: (2024)
by: Cordero-Encinar, Paula, et al.
Published: (2024)
Profit over Proxies: A Scalable Bayesian Decision Framework for Optimizing Multi-Variant Online Experiments
by: Pillai, Srijesh, et al.
Published: (2025)
by: Pillai, Srijesh, et al.
Published: (2025)
HR-VILAGE-3K3M: A Human Respiratory Viral Immunization Longitudinal Gene Expression Dataset for Systems Immunity
by: Sun, Xuejun, et al.
Published: (2025)
by: Sun, Xuejun, et al.
Published: (2025)
When Respondents Don't Care Anymore: Identifying the Onset of Careless Responding
by: Welz, Max, et al.
Published: (2023)
by: Welz, Max, et al.
Published: (2023)
When Context Is Not Enough: Modeling Unexplained Variability in Car-Following Behavior
by: Zhang, Chengyuan, et al.
Published: (2025)
by: Zhang, Chengyuan, et al.
Published: (2025)
Inverse Control Constrained Optimization of Vessel Speed Decisions Under Environmental Risk: Evidence from Arctic Shipping
by: Pant, Mauli, et al.
Published: (2026)
by: Pant, Mauli, et al.
Published: (2026)
HMM for Discovering Decision-Making Dynamics Using Reinforcement Learning Experiments
by: Guo, Xingche, et al.
Published: (2024)
by: Guo, Xingche, et al.
Published: (2024)
Prediction of Coffee Ratings Based On Influential Attributes Using SelectKBest and Optimal Hyperparameters
by: Agyemang, Edmund, et al.
Published: (2025)
by: Agyemang, Edmund, et al.
Published: (2025)
Bayesian Deployment Approval for Learned Landing Controllers under Finite Rollout Validation
by: Jiang, Fei, et al.
Published: (2026)
by: Jiang, Fei, et al.
Published: (2026)
Robust Analysis for Resilient AI System
by: Wang, Yu, et al.
Published: (2025)
by: Wang, Yu, et al.
Published: (2025)
On Model-Based Clustering With Entropic Optimal Transport
by: Mena, Gonzalo
Published: (2026)
by: Mena, Gonzalo
Published: (2026)
Safe and Interpretable Estimation of Optimal Treatment Regimes
by: Parikh, Harsh, et al.
Published: (2023)
by: Parikh, Harsh, et al.
Published: (2023)
Fit CATE Once: Model-Assisted Randomization Tests Without Sample Splitting
by: Zheng, Fangnan, et al.
Published: (2026)
by: Zheng, Fangnan, et al.
Published: (2026)
Optimal Sampling Designs for Multi-dimensional Streaming Time Series with Application to Power Grid Sensor Data
by: Xie, Rui, et al.
Published: (2023)
by: Xie, Rui, et al.
Published: (2023)
Teleodynamic Learning a new Paradigm For Interpretable AI
by: ter Horst, Enrique, et al.
Published: (2026)
by: ter Horst, Enrique, et al.
Published: (2026)
Flexible and Efficient Drift Detection without Labels
by: Tan, Nelvin, et al.
Published: (2025)
by: Tan, Nelvin, et al.
Published: (2025)
An Explainable AI Model for Predicting the Recurrence of Differentiated Thyroid Cancer
by: Ahmad, Mohammad Al-Sayed, et al.
Published: (2024)
by: Ahmad, Mohammad Al-Sayed, et al.
Published: (2024)
Similar Items
-
Spatial Heterogeneity in Climate Risk and Human Flourishing: An Exploration with Generative AI
by: Iacus, Stefano Maria, et al.
Published: (2026) -
Learning When to Trust LLM Priors: A Validated Framework for Semantic Prior Integration
by: Zhang, Erica, et al.
Published: (2026) -
Discretion in the Loop: Human Expertise in Algorithm-Assisted College Advising
by: Schechtman, Kara, et al.
Published: (2025) -
Robust Generalization with Adaptive Optimal Transport Priors for Decision-Focused Learning
by: Sun, Haixiang, et al.
Published: (2026) -
Using Sequences of Life-events to Predict Human Lives
by: Savcisens, Germans, et al.
Published: (2023)