Harvineet Singh

39 papers A* 4A 4B 1C 3Journal 20Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	"Who experiences large model decay and why?" A Hierarchical Framework for Diagnosing Heterogeneous Performance Drift. ICML Harvineet Singh, Fan Xia, Alexej Gossmann, Andrew Chuang, Julian C. Hong, Jean Feng
2025	J	`jnl`	"Who experiences large model decay and why?" A Hierarchical Framework for Diagnosing Heterogeneous Performance Drift. CoRR Harvineet Singh, Fan Xia, Alexej Gossmann, Andrew Chuang, Julian C. Hong, Jean Feng
2024	A*	`conf`	A hierarchical decomposition for explaining ML performance discrepancies. NeurIPS Harvineet Singh, Fan Xia, Adarsh Subbaswamy, Alexej Gossmann, Jean Feng
2024	J	`jnl`	A hierarchical decomposition for explaining ML performance discrepancies. CoRR Jean Feng, Harvineet Singh, Fan Xia, Adarsh Subbaswamy, Alexej Gossmann
2024	J	`jnl`	Data Poisoning Attacks on Off-Policy Policy Evaluation Methods. CoRR Elita A. Lobo, Harvineet Singh, Marek Petrik, Cynthia Rudin, Himabindu Lakkaraju
2024	—	`conf`	Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens. CLeaR Jean Feng, Adarsh Subbaswamy, Alexej Gossmann, Harvineet Singh, Berkman Sahiner, Mi-Ok Kim, Gene Anthony Pennello, Nicholas Petrick, Romain Pirracchio, Fan Xia
2024	J	`jnl`	Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium. CoRR Hyewon Jeong, Sarah Jabbour, Yuzhe Yang, Rahul Thapa, Hussein Mozannar, William Jongwon Han, Nikita Mehandru, Michael Wornow, Vladislav Lialin, Xin Liu, Alejandro Lozano, Jiacheng Zhu, Rafal Dariusz Kocielnik, Keith Harrigian, Haoran Zhang, Edward Lee, Milos Vukadinovic, Aparna Balagopalan, Vincent Jeanselme, Katherine Matton, Ilker Demirel, Jason A. Fries, Parisa Rashidi, Brett K. Beaulieu-Jones, Xuhai Orson Xu, Matthew B. A. McDermott, Tristan Naumann, Monica Agrawal, Marinka Zitnik, Berk Ustun, Edward Choi, Kristen Yeom, Gamze Gürsoy, Marzyeh Ghassemi, Emma Pierson, George H. Chen, Sanjat Kanjilal, Michael Oberst, Linying Zhang, Harvineet Singh, Tom Hartvigsen, Helen Zhou, Chinasa T. Okolo
2023	A*	`conf`	"Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts. ICML Haoran Zhang, Harvineet Singh, Marzyeh Ghassemi, Shalmali Joshi
2023	J	`jnl`	A Brief Tutorial on Sample Size Calculations for Fairness Audits. CoRR Harvineet Singh, Fan Xia, Mi-Ok Kim, Romain Pirracchio, Rumi Chunara, Jean Feng
2023	—	`conf`	Machine Learning for Health (ML4H) 2023. ML4H@NeurIPS Stefan Hegselmann, Antonio Parziale, Divya Shanmugam, Shengpu Tang, Kristen Severson, Mercy Nyamewaa Asiedu, Serina Chang, Bonaventure F. P. Dossou, Qian Huang, Fahad Kamran, Haoran Zhang, Sujay Nagaraj, Luis Oala, Shan Xu, Chinasa T. Okolo, Helen Zhou, Jessica Dafflon, Caleb Ellington, Sarah Jabbour, Hyewon Jeong, Harry Reyes Nieva, Yuzhe Yang, Ghada Zamzmi, Vishwali Mhasawade, Van Truong, Payal Chandak, Matthew Lee, Peniel N. Argaw, Kyle Heuton, Harvineet Singh, Thomas Hartvigsen
2023	J	`jnl`	Machine Learning for Health symposium 2023 - Findings track. CoRR Stefan Hegselmann, Antonio Parziale, Divya Shanmugam, Shengpu Tang, Mercy Nyamewaa Asiedu, Serina Chang, Thomas Hartvigsen, Harvineet Singh
2023	—	`ed.`	Machine Learning for Health, ML4H@NeurIPS 2023, 10 December 2023, New Orleans, Louisiana, USA. ML4H@NeurIPS Stefan Hegselmann, Antonio Parziale, Divya Shanmugam, Shengpu Tang, Mercy Nyamewaa Asiedu, Serina Chang, Tom Hartvigsen, Harvineet Singh
2023	C	`conf`	Measures of Disparity and their Efficient Estimation. AIES Harvineet Singh, Rumi Chunara
2023	J	`jnl`	Towards a Post-Market Monitoring Framework for Machine Learning-based Medical Devices: A case study. CoRR Jean Feng, Adarsh Subbaswamy, Alexej Gossmann, Harvineet Singh, Berkman Sahiner, Mi-Ok Kim, Gene Pennello, Nicholas Petrick, Romain Pirracchio, Fan Xia
2023	A*	`conf`	When do Minimax-fair Learning and Empirical Risk Minimization Coincide? ICML Harvineet Singh, Matthäus Kleindessner, Volkan Cevher, Rumi Chunara, Chris Russell
2022	J	`jnl`	"Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts. CoRR Haoran Zhang, Harvineet Singh, Marzyeh Ghassemi, Shalmali Joshi
2022	A	`conf`	Data poisoning attacks on off-policy policy evaluation methods. UAI Elita A. Lobo, Harvineet Singh, Marek Petrik, Cynthia Rudin, Himabindu Lakkaraju
2022	C	`conf`	Fair, Robust, and Data-Efficient Machine Learning in Healthcare. AIES Harvineet Singh
2022	—	`conf`	Machine Learning for Health (ML4H) 2022. ML4H@NeurIPS Antonio Parziale, Monica Agrawal, Shengpu Tang, Kristen Severson, Luis Oala, Adarsh Subbaswamy, Sayantan Kumar, Elora D. M. Schörverth, Stefan Hegselmann, Helen Zhou, Ghada Zamzmi, Purity Mugambi, Elena Sizikova, Girmaw Abebe Tadesse, Yuyin Zhou, Taylor W. Killian, Haoran Zhang, Fahad Kamran, Andrea Hobby, Mars Huang, Ahmed M. Alaa, Harvineet Singh, Irene Y. Chen, Shalmali Joshi
2022	—	`conf`	Segmenting across places: The need for fair transfer learning with satellite imagery. CVPR Workshops Miao Zhang, Harvineet Singh, Lazarus Chok, Rumi Chunara
2022	J	`jnl`	Segmenting across places: The need for fair transfer learning with satellite imagery. CoRR Miao Zhang, Harvineet Singh, Lazarus Chok, Rumi Chunara
2022	C	`conf`	Towards Robust Off-Policy Evaluation via Human Inputs. AIES Harvineet Singh, Shalmali Joshi, Finale Doshi-Velez, Himabindu Lakkaraju
2022	J	`jnl`	Towards Robust Off-Policy Evaluation via Human Inputs. CoRR Harvineet Singh, Shalmali Joshi, Finale Doshi-Velez, Himabindu Lakkaraju
2021	—	`conf`	Fairness Violations and Mitigation under Covariate Shift. FAccT Harvineet Singh, Rina Singh, Vishwali Mhasawade, Rumi Chunara
2021	J	`jnl`	Learning Under Adversarial and Interventional Shifts. CoRR Harvineet Singh, Shalmali Joshi, Finale Doshi-Velez, Himabindu Lakkaraju
2020	J	`jnl`	An RNN-Survival Model to Decide Email Send Times. CoRR Harvineet Singh, Moumita Sinha, Atanu R. Sinha, Sahil Garg, Neha Banerjee
2019	A	`conf`	Cascading Linear Submodular Bandits: Accounting for Position Bias and Diversity in Online Learning to Rank. UAI Gaurush Hiranandani, Harvineet Singh, Prakhar Gupta, Iftikhar Ahamath Burhanuddin, Zheng Wen, Branislav Kveton
2019	J	`jnl`	Fair Predictors under Distribution Shift. CoRR Harvineet Singh, Rina Singh, Vishwali Mhasawade, Rumi Chunara
2019	J	`jnl`	Modeling Time to Open of Emails with a Latent State for User Engagement Level. CoRR Moumita Sinha, Vishwa Vinay, Harvineet Singh
2019	A	`conf`	Stuck? No worries!: Task-aware Command Recommendation and Proactive Help for Analysts. UMAP Aadhavan M. Nambhi, Bhanu Prakash Reddy, Aarsh Prakash Agarwal, Gaurav Verma, Harvineet Singh, Iftikhar Ahamath Burhanuddin
2019	J	`jnl`	Stuck? No worries!: Task-aware Command Recommendation and Proactive Help for Analysts. CoRR Aadhavan M. Nambhi, Bhanu Prakash Reddy, Aarsh Prakash Agarwal, Gaurav Verma, Harvineet Singh, Iftikhar Ahamath Burhanuddin
2018	B	`conf`	Modeling Hint-Taking Behavior and Knowledge State of Students with Multi-Task Learning. EDM Harvineet Singh, Shiv Kumar Saini, Ritwick Chaudhry, Pradeep Dogga
2018	A	`conf`	Modeling Time to Open of Emails with a Latent State for User Engagement Level. WSDM Moumita Sinha, Vishwa Vinay, Harvineet Singh
2018	J	`jnl`	Online Diverse Learning to Rank from Partial-Click Feedback. CoRR Prakhar Gupta, Gaurush Hiranandani, Harvineet Singh, Branislav Kveton, Zheng Wen, Iftikhar Ahamath Burhanuddin
2017	J	`jnl`	Learning User Representations in Online Social Networks using Temporal Dynamics of Information Diffusion. CoRR Harvineet Singh, Amitabha Bagchi, Parag Singla
2017	—	`conf`	Show and Recall: Learning What Makes Videos Memorable. ICCV Workshops Sumit Shekhar, Dhruv Singal, Harvineet Singh, Manav Kedia, Akhil Shetty
2017	J	`jnl`	Show and Recall: Learning What Makes Videos Memorable. CoRR Sumit Shekhar, Dhruv Singal, Harvineet Singh, Manav Kedia, Akhil Shetty
2015	J	`jnl`	On the Role of Conductance, Geography and Topology in Predicting Hashtag Virality. CoRR Siddharth Bora, Harvineet Singh, Anirban Sen, Amitabha Bagchi, Parag Singla
2015	J	`jnl`	On the role of conductance, geography and topology in predicting hashtag virality. Soc. Netw. Anal. Min. Siddharth Bora, Harvineet Singh, Anirban Sen, Amitabha Bagchi, Parag Singla