Williams, Joseph Jay

4 publications

AAAI 2024 Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health Harsh Kumar, Tong Li, Jiakai Shi, Ilya Musabirov, Rachel Kornfield, Jonah Meyerhoff, Ananya Bhattacharjee, Chris J. Karr, Theresa Nguyen, David C. Mohr, Anna N. Rafferty, Sofia S. Villar, Nina Deliu, Joseph Jay Williams

MLJ 2021 Bandit Algorithms to Personalize Educational Chatbots William Cai, Josh Grossman, Zhiyuan Lin, Hao Sheng, Johnny Tian-Zheng Wei, Joseph Jay Williams, Sharad Goel

IJCAI 2019 Learning Multi-Objective Rewards and User Utility Function in Contextual Bandits for Personalized Ranking Nirandika Wanigasekara, Yuxuan Liang, Siong Thye Goh, Ye Liu, Joseph Jay Williams, David S. Rosenblum

UAI 2013 Evaluating Computational Models of Explanation Using Human Judgments Michael Pacer, Joseph Jay Williams, Xi Chen, Tania Lombrozo, Thomas L. Griffiths