Re-examining Metrics for Success in Machine Learning, from Fairness and Interpretability to Protein Design
Frances Ding [2024]

Learning to Design and Engineer Proteins from Evolution, 3D Structures, and Experiments
Chloe Hsu [2023]

Learning to Design and Engineer Proteins from Evolution, 3D Structures, and Experiments
Chloe Hsu [2023]

Performative Prediction: Theory and Practice
Juan Perdomo [2023]

Prediction and Statistical Inference in Feedback Loops
Tijana Zrnic [2023]

Test-Time Training
Yu Sun [2023]

Learning Objective Functions from Many Diverse Signals
Smitha Milli [2022]

Social Dynamics of Machine Learning for Decision Making
Lydia Liu [2022]

Validity Challenges in Machine Learning Benchmarks
John Miller [2022]