Feng, Jean

12 publications

ICML 2025 "Who Experiences Large Model Decay and Why?" a Hierarchical Framework for Diagnosing Heterogeneous Performance Drift Harvineet Singh, Fan Xia, Alexej Gossmann, Andrew Chuang, Julian C. Hong, Jean Feng

NeurIPS 2025 Bayesian Concept Bottleneck Models with LLM Priors Jean Feng, Avni Kothari, Lucas Zier, Chandan Singh, Yan Shuo Tan

ICLRW 2025 Bayesian Concept Bottleneck Models with LLM Priors Jean Feng, Avni Kothari, Lucas Zier, Chandan Singh, Yan Shuo Tan

NeurIPS 2024 A Hierarchical Decomposition for Explaining ML Performance Discrepancies Harvineet Singh, Fan Xia, Adarsh Subbaswamy, Alexej Gossmann, Jean Feng

CLeaR 2024 Designing Monitoring Strategies for Deployed Machine Learning Algorithms: Navigating Performativity Through a Causal Lens Jean Feng, Adarsh Subbaswamy, Alexej Gossmann, Harvineet Singh, Berkman Sahiner, Mi-Ok Kim, Gene Anthony Pennello, Nicholas Petrick, Romain Pirracchio, Fan Xia

AISTATS 2024 Is This Model Reliable for Everyone? Testing for Strong Calibration Jean Feng, Alexej Gossmann, Romain Pirracchio, Nicholas Petrick, Gene A Pennello, Berkman Sahiner

AISTATS 2024 Monitoring Machine Learning-Based Risk Prediction Algorithms in the Presence of Performativity Jean Feng, Alexej Gossmann, Gene A Pennello, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio

NeurIPSW 2023 A Brief Tutorial on Sample Size Calculations for Fairness Audits Harvineet Singh, Fan Xia, Mi-Ok Kim, Romain Pirracchio, Rumi Chunara, Jean Feng

NeurIPSW 2023 Towards a Post-Market Monitoring Framework for Machine Learning-Based Medical Devices: A Case Study Jean Feng, Adarsh Subbaswamy, Alexej Gossmann, Harvineet Singh, Berkman Sahiner, Mi-Ok Kim, Gene Pennello, Nicholas Petrick, Romain Pirracchio, Fan Xia

UAI 2022 Sequential Algorithmic Modification with Test Data Reuse Jean Feng, Gene Pennllo, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio, Alexej Gossmann

ICML 2020 Efficient Nonparametric Statistical Inference on Population Feature Importance Using Shapley Values Brian Williamson, Jean Feng

ICML 2018 Nonparametric Variable Importance Using an Augmented Neural Network with Multi-Task Learning Jean Feng, Brian Williamson, Noah Simon, Marco Carone