Publication Interpreting Interpretability: Understanding Data Scientists’ Use of Interpretability Tools for Machine Learning Harmanpreet Kaur, Harsha Nori, Samuel Jenkins, Rich Caruana, Hanna Wallach, Jennifer Wortman Vaughan CHI 2020 | April 2020 CHI 2020 Honorable Mention Award Github Project
Publication A Human in the Loop is Not Enough: The Need for Human-Subject Experiments in Facial Recognition Forough Poursabzi-Sangdeh, Samira Samadi, Jennifer Wortman Vaughan, Hanna Wallach April 2020
Publication Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds Jordan T. Ash, Chicheng Zhang, Akshay Krishnamurthy, John Langford, Alekh Agarwal Eighth International Conference on Learning Representations (ICLR) | April 2020
Publication Bandits with adversarial scaling Thodoris Lykouris, Vahab Mirrokni, Renato Paes Leme March 2020
Publication Contrastive Estimation Reveals Topic Posterior Information To Linear Models Christopher Tosh, Akshay Krishnamurthy, Daniel Hsu March 2020
Publication Co-Designing Checklists to Understand Organizational Challenges and Opportunities around Fairness in AI Michael Madaio, Luke Stark, Jennifer Wortman Vaughan, Hanna Wallach CHI Conference on Human Factors in Computing Systems | March 2020 CHI 2020 Best Paper Award Project
Publication Incentivizing Exploration with Selective Data Disclosure Nicole Immorlica, Jieming Mao, Aleksandrs Slivkins, Zhiwei Steven Wu EC’20 | February 2020
Publication Adaptive Estimator Selection for Off-Policy Evaluation Yi-Hsun Su, Pavithra Srinath, Akshay Krishnamurthy ICML | February 2020
Publication Corrupted Multidimensional Binary Search: Learning In The Presence Of Irrational Agents Akshay Krishnamurthy, Thodoris Lykouris, Chara Podimata arXiv preprint arXiv:2002.11650 | February 2020
Research
Research