Picture for Finale Doshi-Velez

Finale Doshi-Velez

Comparison and Unification of Three Regularization Methods in Batch Reinforcement Learning

Add code
Sep 16, 2021
Figure 1 for Comparison and Unification of Three Regularization Methods in Batch Reinforcement Learning
Figure 2 for Comparison and Unification of Three Regularization Methods in Batch Reinforcement Learning
Figure 3 for Comparison and Unification of Three Regularization Methods in Batch Reinforcement Learning
Figure 4 for Comparison and Unification of Three Regularization Methods in Batch Reinforcement Learning
Viaarxiv icon

Pre-emptive learning-to-defer for sequential medical decision-making under uncertainty

Add code
Sep 13, 2021
Figure 1 for Pre-emptive learning-to-defer for sequential medical decision-making under uncertainty
Figure 2 for Pre-emptive learning-to-defer for sequential medical decision-making under uncertainty
Figure 3 for Pre-emptive learning-to-defer for sequential medical decision-making under uncertainty
Figure 4 for Pre-emptive learning-to-defer for sequential medical decision-making under uncertainty
Viaarxiv icon

State Relevance for Off-Policy Evaluation

Add code
Sep 13, 2021
Figure 1 for State Relevance for Off-Policy Evaluation
Figure 2 for State Relevance for Off-Policy Evaluation
Figure 3 for State Relevance for Off-Policy Evaluation
Figure 4 for State Relevance for Off-Policy Evaluation
Viaarxiv icon

Online structural kernel selection for mobile health

Add code
Jul 21, 2021
Figure 1 for Online structural kernel selection for mobile health
Figure 2 for Online structural kernel selection for mobile health
Figure 3 for Online structural kernel selection for mobile health
Figure 4 for Online structural kernel selection for mobile health
Viaarxiv icon

Promises and Pitfalls of Black-Box Concept Learning Models

Add code
Jun 24, 2021
Figure 1 for Promises and Pitfalls of Black-Box Concept Learning Models
Figure 2 for Promises and Pitfalls of Black-Box Concept Learning Models
Figure 3 for Promises and Pitfalls of Black-Box Concept Learning Models
Figure 4 for Promises and Pitfalls of Black-Box Concept Learning Models
Viaarxiv icon

Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Problems by Reinforcement Learning

Add code
Jun 14, 2021
Figure 1 for Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Problems by Reinforcement Learning
Figure 2 for Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Problems by Reinforcement Learning
Figure 3 for Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Problems by Reinforcement Learning
Figure 4 for Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Problems by Reinforcement Learning
Viaarxiv icon

Wide Mean-Field Variational Bayesian Neural Networks Ignore the Data

Add code
Jun 13, 2021
Figure 1 for Wide Mean-Field Variational Bayesian Neural Networks Ignore the Data
Figure 2 for Wide Mean-Field Variational Bayesian Neural Networks Ignore the Data
Figure 3 for Wide Mean-Field Variational Bayesian Neural Networks Ignore the Data
Figure 4 for Wide Mean-Field Variational Bayesian Neural Networks Ignore the Data
Viaarxiv icon

Learning Under Adversarial and Interventional Shifts

Add code
Mar 29, 2021
Figure 1 for Learning Under Adversarial and Interventional Shifts
Figure 2 for Learning Under Adversarial and Interventional Shifts
Figure 3 for Learning Under Adversarial and Interventional Shifts
Figure 4 for Learning Under Adversarial and Interventional Shifts
Viaarxiv icon

Benchmarks, Algorithms, and Metrics for Hierarchical Disentanglement

Add code
Feb 09, 2021
Figure 1 for Benchmarks, Algorithms, and Metrics for Hierarchical Disentanglement
Figure 2 for Benchmarks, Algorithms, and Metrics for Hierarchical Disentanglement
Figure 3 for Benchmarks, Algorithms, and Metrics for Hierarchical Disentanglement
Figure 4 for Benchmarks, Algorithms, and Metrics for Hierarchical Disentanglement
Viaarxiv icon

Evaluating the Interpretability of Generative Models by Interactive Reconstruction

Add code
Feb 02, 2021
Figure 1 for Evaluating the Interpretability of Generative Models by Interactive Reconstruction
Figure 2 for Evaluating the Interpretability of Generative Models by Interactive Reconstruction
Figure 3 for Evaluating the Interpretability of Generative Models by Interactive Reconstruction
Figure 4 for Evaluating the Interpretability of Generative Models by Interactive Reconstruction
Viaarxiv icon