Singh, Harvineet

14 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 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

ICML 2023 "Why Did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts Haoran Zhang, Harvineet Singh, Marzyeh Ghassemi, Shalmali Joshi

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

ICML 2023 When Do Minimax-Fair Learning and Empirical Risk Minimization Coincide? Harvineet Singh, Matthäus Kleindessner, Volkan Cevher, Rumi Chunara, Chris Russell

ICMLW 2022 "Why Did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts Haoran Zhang, Harvineet Singh, Shalmali Joshi

NeurIPSW 2022 "Why Did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts Haoran Zhang, Harvineet Singh, Marzyeh Ghassemi, Shalmali Joshi

ICLRW 2022 Data Poisoning Attacks on Off-Policy Policy Evaluation Algorithms Elita Lobo, Harvineet Singh, Marek Petrik, Cynthia Rudin, Himabindu Lakkaraju

UAI 2022 Data Poisoning Attacks on Off-Policy Policy Evaluation Methods Elita Lobo, Harvineet Singh, Marek Petrik, Cynthia Rudin, Himabindu Lakkaraju

CVPRW 2022 Segmenting Across Places: The Need for Fair Transfer Learning with Satellite Imagery Miao Zhang, Harvineet Singh, Lazarus Chok, Rumi Chunara

UAI 2019 Cascading Linear Submodular Bandits: Accounting for Position Bias and Diversity in Online Learning to Rank Gaurush Hiranandani, Harvineet Singh, Prakhar Gupta, Iftikhar Ahamath Burhanuddin, Zheng Wen, Branislav Kveton

ICCVW 2017 Show and Recall: Learning What Makes Videos Memorable Sumit Shekhar, Dhruv Singal, Harvineet Singh, Manav Kedia, Akhil Shetty