| 2019 | CHI | Temporal Proximity Filtering. | Arun Kumar, Karan Aggarwal, Paul R. Schrater |
| 2019 | CogSci | Belief dynamics extraction. | Arun Kumar, Zhengwei Wu, Xaq Pitkow, Paul R. Schrater |
| 2017 | IUI | Novelty Learning via Collaborative Proximity Filtering. | Arun Kumar, Paul R. Schrater |
| 2016 | CogSci | Modeling sampling duration in decisions from experience. | Nisheeth Srivastava, Johannes Mller-Trede, Paul R. Schrater, Edward Vul |
| 2015 | RecSys | "I like to explore sometimes": Adapting to Dynamic User Novelty Preferences. | Komal Kapoor, Vikas Kumar, Loren G. Terveen, Joseph A. Konstan, Paul R. Schrater |
| 2015 | WSDM | Just in Time Recommendations: Modeling the Dynamics of Boredom in Activity Streams. | Komal Kapoor, Karthik Subbian, Jaideep Srivastava, Paul R. Schrater |
| 2014 | CogSci | Classical conditioning via inference over observable situation contexts. | Nisheeth Srivastava, Paul R. Schrater |
| 2014 | CogSci | Frugal preference formation. | Nisheeth Srivastava, Paul R. Schrater |
| 2013 | IJCAI | Efficient Learning in Linearly Solvable MDP Models. | Ang Li, Paul R. Schrater |
| 2013 | KDD | Measuring spontaneous devaluations in user preferences. | Komal Kapoor, Nisheeth Srivastava, Jaideep Srivastava, Paul R. Schrater |
| 2012 | IAAI | Using POMDPs to Control an Accuracy-Processing Time Trade-Off in Video Surveillance. | Komal Kapoor, Christopher Amato, Nisheeth Srivastava, Paul R. Schrater |
| 2011 | CogSci | A value-relativistic decision theory predicts known biases in human preferences. | Nisheeth Srivastava, Paul R. Schrater |
| 2010 | ICIP | Object rigidity and reflectivity identification based on motion analysis. | Di Zang, Paul R. Schrater, Katja Doerschner |
| 2009 | CAIP | Rapid Classification of Surface Reflectance from Image Velocities. | Katja Doerschner, Daniel J. Kersten, Paul R. Schrater |
| 2009 | CAIP | Rapid Inference of Object Rigidity and Reflectance Using Optic Flow. | Di Zang, Katja Doerschner, Paul R. Schrater |
| 2008 | ISPASS | Independent Component Analysis and Evolutionary Algorithms for Building Representative Benchmark Subsets. | Vassilios N. Christopoulos, David J. Lilja, Paul R. Schrater, Apostolos P. Georgopoulos |
| 2007 | CVPR | Learning Dynamic Event Descriptions in Image Sequences. | Harini Veeraraghavan, Nikolaos Papanikolopoulos, Paul R. Schrater |
| 2007 | IROS | Handling shape and contact location uncertainty in grasping two-dimensional planar objects. | Vassilios N. Christopoulos, Paul R. Schrater |
| 2006 | ICRA | Adaptive Geometric Templates for Feature Matching. | Harini Veeraraghavan, Paul R. Schrater, Nikolaos Papanikolopoulos |
| 2005 | AAAI | Non-Stationary Policy Learning in 2-Player Zero Sum Games. | Steven Jensen, Daniel Boley, Maria L. Gini, Paul R. Schrater |
| 2005 | AVSS | Multi-camera positioning to optimize task observability. | Robert Bodor, Paul R. Schrater, Nikolaos Papanikolopoulos |
| 2005 | IJCAI | Identifying and Forecasting Economic Regimes in TAC SCM. | Wolfgang Ketter, John Collins, Maria L. Gini, Alok Gupta, Paul R. Schrater |
| 2005 | IROS | Mobile camera positioning to optimize the observability of human activity recognition tasks. | Robert Bodor, Andrew Drenner, Michael Janssen, Paul R. Schrater, Nikolaos Papanikolopoulos |
| 2003 | GMP | Extensible Point Location Algorithm. | Rashmi Sundareswara, Paul R. Schrater |