Mark Rucker

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 16

Top Topics

Social Structures

Machine Learning

Behavioral Patterns

Inverse Reinforcement Learning

Top Venues

Publications

Zhiyuan Wang, Mingyue Tang, Maria A. Larrazabal, Emma R. Toner, Mark Rucker, Congyu Wu, Bethany A. Teachman, Mehdi Boukhechba, Laura E. Barnes
Personalized State Anxiety Detection: An Empirical Study with Linguistic Biomarkers and A Machine Learning Pipeline. CoRR (2023)
Zhiyuan Wang, Maria A. Larrazabal, Mark Rucker, Emma R. Toner, Katharine E. Daniel, Shashwat Kumar, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes
Detecting Social Contexts from Mobile Sensing Indicators in Virtual Interactions with Socially Anxious Individuals. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7 (3) (2023)
Jessica Maghakian, Paul Mineiro, Kishan Panaganti, Mark Rucker, Akanksha Saran, Cheng Tan
Personalized Reward Learning with Interaction-Grounded Learning (IGL). ICLR (2023)
Emma R. Toner, Mark Rucker, Zhiyuan Wang, Maria A. Larrazabal, Lihua Cai, Debajyoti Datta, Elizabeth Thompson, Haroon Lone, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes
Wearable Sensor-based Multimodal Physiological Responses of Socially Anxious Individuals across Social Contexts. CoRR (2023)
Zhiyuan Wang, Mingyue Tang, Maria A. Larrazabal, Emma R. Toner, Mark Rucker, Congyu Wu, Bethany A. Teachman, Mehdi Boukhechba, Laura E. Barnes
Personalized State Anxiety Detection: An Empirical Study with Linguistic Biomarkers and A Machine Learning Pipeline. EMBC (2023)
Mark Rucker, Yinglun Zhu, Paul Mineiro
Infinite Action Contextual Bandits with Reusable Data Exhaust. CoRR (2023)
Mark Rucker, Yinglun Zhu, Paul Mineiro
Infinite Action Contextual Bandits with Reusable Data Exhaust. ICML (2023)
Zhiyuan Wang, Mark Rucker, Emma R. Toner, Maria A. Larrazabal, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes
Understanding Privacy Risks versus Predictive Benefits in Wearable Sensor-Based Digital Phenotyping: A Quantitative Cost-Benefit Analysis. BSN (2023)
Jessica Maghakian, Paul Mineiro, Kishan Panaganti, Mark Rucker, Akanksha Saran, Cheng Tan
Personalized Reward Learning with Interaction-Grounded Learning (IGL). CoRR (2022)
Mark Rucker, Jordan T. Ash, John Langford, Paul Mineiro, Ida Momennejad
Eigen Memory Trees. CoRR (2022)
Mark Rucker, Stephen C. Adams, Roy Hayes, Peter A. Beling
Inverse Reinforcement Learning for Strategy Identification. SMC (2021)
Mark Rucker, Stephen C. Adams, Roy Hayes, Peter A. Beling
Inverse Reinforcement Learning for Strategy Identification. CoRR (2021)
Sonia Baee, Mark Rucker, Anna N. Baglione, Mawulolo K. Ameko, Laura E. Barnes
A Framework for Addressing the Risks and Opportunities In AI-Supported Virtual Health Coaches. CoRR (2020)
Sonia Baee, Mark Rucker, Anna N. Baglione, Mawulolo K. Ameko, Laura E. Barnes
A Framework for Addressing the Risks and Opportunities In Al-Supported Virtual Health Coaches. PervasiveHealth (2020)
Kamwoo Lee, Mark Rucker, William T. Scherer, Peter A. Beling, Matthew S. Gerber, Hyojung Kang
Agent-based model construction using inverse reinforcement learning. WSC (2017)
Yu Huang, Jiaqi Gong, Mark Rucker, Philip Chow, Karl C. Fua, Matthew S. Gerber, Bethany A. Teachman, Laura E. Barnes
Discovery of Behavioral Markers of Social Anxiety from Smartphone Sensor Data. DigitalBioMarker@MobiSys (2017)