Picture for Jenna Wiens

Jenna Wiens

Division of Computer Science & Engineering, University of Michigan

Counterfactual-Augmented Importance Sampling for Semi-Offline Policy Evaluation

Add code
Oct 26, 2023
Figure 1 for Counterfactual-Augmented Importance Sampling for Semi-Offline Policy Evaluation
Figure 2 for Counterfactual-Augmented Importance Sampling for Semi-Offline Policy Evaluation
Figure 3 for Counterfactual-Augmented Importance Sampling for Semi-Offline Policy Evaluation
Figure 4 for Counterfactual-Augmented Importance Sampling for Semi-Offline Policy Evaluation
Viaarxiv icon

Updating Clinical Risk Stratification Models Using Rank-Based Compatibility: Approaches for Evaluating and Optimizing Clinician-Model Team Performance

Aug 10, 2023
Viaarxiv icon

Leveraging Factored Action Spaces for Off-Policy Evaluation

Add code
Jul 13, 2023
Figure 1 for Leveraging Factored Action Spaces for Off-Policy Evaluation
Figure 2 for Leveraging Factored Action Spaces for Off-Policy Evaluation
Figure 3 for Leveraging Factored Action Spaces for Off-Policy Evaluation
Figure 4 for Leveraging Factored Action Spaces for Off-Policy Evaluation
Viaarxiv icon

Leveraging an Alignment Set in Tackling Instance-Dependent Label Noise

Add code
Jul 10, 2023
Viaarxiv icon

Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare

Add code
May 02, 2023
Figure 1 for Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare
Figure 2 for Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare
Figure 3 for Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare
Figure 4 for Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare
Viaarxiv icon

Forecasting with Sparse but Informative Variables: A Case Study in Predicting Blood Glucose

Add code
Apr 17, 2023
Figure 1 for Forecasting with Sparse but Informative Variables: A Case Study in Predicting Blood Glucose
Figure 2 for Forecasting with Sparse but Informative Variables: A Case Study in Predicting Blood Glucose
Figure 3 for Forecasting with Sparse but Informative Variables: A Case Study in Predicting Blood Glucose
Figure 4 for Forecasting with Sparse but Informative Variables: A Case Study in Predicting Blood Glucose
Viaarxiv icon

Disparate Censorship & Undertesting: A Source of Label Bias in Clinical Machine Learning

Add code
Aug 01, 2022
Figure 1 for Disparate Censorship & Undertesting: A Source of Label Bias in Clinical Machine Learning
Figure 2 for Disparate Censorship & Undertesting: A Source of Label Bias in Clinical Machine Learning
Figure 3 for Disparate Censorship & Undertesting: A Source of Label Bias in Clinical Machine Learning
Figure 4 for Disparate Censorship & Undertesting: A Source of Label Bias in Clinical Machine Learning
Viaarxiv icon

Combining chest X-rays and EHR data using machine learning to diagnose acute respiratory failure

Add code
Aug 27, 2021
Figure 1 for Combining chest X-rays and EHR data using machine learning to diagnose acute respiratory failure
Figure 2 for Combining chest X-rays and EHR data using machine learning to diagnose acute respiratory failure
Figure 3 for Combining chest X-rays and EHR data using machine learning to diagnose acute respiratory failure
Figure 4 for Combining chest X-rays and EHR data using machine learning to diagnose acute respiratory failure
Viaarxiv icon

Mind the Performance Gap: Examining Dataset Shift During Prospective Validation

Jul 23, 2021
Figure 1 for Mind the Performance Gap: Examining Dataset Shift During Prospective Validation
Figure 2 for Mind the Performance Gap: Examining Dataset Shift During Prospective Validation
Figure 3 for Mind the Performance Gap: Examining Dataset Shift During Prospective Validation
Figure 4 for Mind the Performance Gap: Examining Dataset Shift During Prospective Validation
Viaarxiv icon

Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings

Add code
Jul 23, 2021
Figure 1 for Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings
Figure 2 for Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings
Figure 3 for Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings
Figure 4 for Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings
Viaarxiv icon