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
Publication Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications Kaitlyn Zhou, Su Lin Blodgett, Adam Trischler, Hal Daumé III, Kaheer Suleman, Alexandra Olteanu NAACL 2022 | May 2022
Publication REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning Research Jessie J. Smith, Saleema Amershi, Solon Barocas, Hanna Wallach, Jennifer Wortman Vaughan FAccT 2022 | May 2022 Project
Publication Sample-Efficient Reinforcement Learning in the Presence of Exogenous Information Yonathan Efroni, Dylan Foster, Dipendra Misra, Akshay Krishnamurthy, John Langford 2022 Conference on Learning Theory | May 2022
