Publication Taxonomizing and Measuring Representational Harms: A Look at Image Tagging Jared Katzman, Angelina Wang, Morgan Scheuerman, Su Lin Blodgett, Kristen Laird, Hanna Wallach, Solon Barocas AAAI 2022 | February 2023
Publication Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step Inverse Models Alex Lamb, Riashat Islam, Yonathan Efroni, Aniket Didolkar, Dipendra Misra, Dylan Foster, Olalekan Ogunmolu, Rajan Chari, Akshay Krishnamurthy, John Langford Transactions on Machine Learning Research | February 2023
Publication GAM Coach: Towards Interactive and User-Centered Algorithmic Recourse Zijie J. Wang, Jennifer Wortman Vaughan, Rich Caruana, Duen Horng Chau 2023 ACM CHI Conference on Human Factors in Computing Systems (CHI 2023) | February 2023 Project
Publication Budget Pacing in Repeated Auctions: Regret and Efficiency Without Convergence Jason Gaitonde, Yingkai Li, Bar Light, Brendan Lucier, Aleksandrs Slivkins Innovations in Theoretical Computer Science | January 2023
Publication Understanding Machine Learning Practitioners’ Data Documentation Perceptions, Needs, Challenges, and Desiderata Amy K. Heger, Liz B. Marquis, Mihaela Vorvoreanu, Hanna Wallach, Jennifer Wortman Vaughan 2022 Conference on Computer Supported Cooperative Work | November 2022 Project Project
Publication Contextual search in the presence of adversarial corruptions Akshay Krishnamurthy, Thodoris Lykouris, Chara Podimata, Robert E. Schapire Operations Research | November 2022
Publication Improving Long-Term Metrics in Recommendation Systems using Short-Horizon Reinforcement Learning Bogdan Mazoure, Paul Mineiro, Pavithra Srinath, Reza Sharifi Sedeh, Doina Precup, Adith Swaminathan 2022 European Conference on Principles of Data Mining and Knowledge Discovery | September 2022 Project
Publication Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values Zijie J. Wang, Alex Kale, Harsha Nori, Peter Stella, Mark E. Nunnally, Duen Horng Chau, Mihaela Vorvoreanu, Jennifer Wortman Vaughan, Rich Caruana KDD 2022 | July 2022 Project
Publication Promoting Fairness in Learned Models by Learning to Active Learn under Parity Constraints Amr Sharaf, Hal Daumé III, Renkun Ni FAccT 2022 | June 2022
Publication Provably sample-efficient RL with side information about latent dynamics Yao Liu, Dipendra Misra, Miro Dudík, Robert E. Schapire 2022 Neural Information Processing Systems | May 2022 Project
Research
Research