Alan Mishler
  • About
  • Experience
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  • Papers
  • Publications
    • Auditing and Enforcing Conditional Fairness via Optimal Transport
    • Monty Hall and Score Optimization in Conformal Prediction to Improve LLM performance in Multi-choice Question Answering
    • Semiparametric Efficient Inference in Adaptive Experiments
    • FairWASP: Fast and Optimal Fair Wasserstein Pre-processing
    • Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access
    • Active Learning with Missing Not At Random Outcomes
    • Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale with MinDiff Loss
    • Counterfactual Mean-Variance Optimization
    • FADE: FAir Double Ensemble Learning for Observable and Counterfactual Outcomes
    • Fair When Trained, Unfair When Deployed: Observable Fairness Measures are Unstable in Performative Prediction Settings
    • Flexible Group Fairness Metrics for Survival Analysis
    • Challenges in Obtaining Valid Causal Effect Estimates with Machine Learning Algorithms
    • Comment on “Statistical Modeling: The Two Cultures” by Leo Breiman
    • Fairness in Risk Assessment Instruments: Post-Processing to Achieve Counterfactual Equalized Odds
    • When the Oracle Misleads: Modeling the Consequences of Using Observable Rather than Potential Outcomes in Risk Assessment Instruments
    • Memory and Language Improvements following Cognitive Control Training
    • Modeling Triage Decision Making
    • The bilingual advantage: Conflict monitoring, cognitive control, and garden-path recovery
    • Contrasting interference profiles for agreement and anaphora: Experimental and modeling evidence
    • Evidence for language transfer leading to a perceptual advantage for non-native listeners
  • Projects

Modeling Triage Decision Making

Jan 1, 2016·
J. Isaiah Harbison
Alan Mishler
Alan Mishler
,
Thomas Wallsten
· 0 min read
Cite URL
Type
Conference paper
Publication
Proceedings of the 38th Annual Meeting of the Cognitive Science Society
Last updated on Jan 1, 2016
Alan Mishler
Authors
Alan Mishler
AI Research Lead/VP

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