Minimax Regret Optimization for Robust Machine Learning under Distribution Shift

Keyphrases

• Robust Machine Learning 100%
• Distribution Shift 100%
• Test Distribution 100%
• Minimax Regret 100%
• Regret Optimization 100%
• Regret 40%
• Regret Bounds 40%
• Distributionally Robust Optimization 40%
• Training Distribution 40%
• Learning Theory 20%
• Formulation Optimization 20%
• Training Data 20%
• Weight Function 20%
• Learning Scenario 20%
• Learning Model 20%
• Classical Learning 20%
• Worst-case Risk 20%

Computer Science

• Distributionally Robust Optimization 100%
• Machine Learning 100%
• Learning System 100%
• Optimization Formulation 50%
• Training Data 50%
• Setting Theory 50%

Mathematics

• Minimax 100%
• Worst Case 33%
• Weight Function 33%
• Training Data 33%
• Learned Model 33%