Jeff Schneider: Publications

• B. Bryan, J. Schneider, Actively Learning Level-Sets of Composite Functions, International Conference on Machine Learning (ICML), 2008.
• R. Houghten, C. Pinilla, M Giulianotti, J. Appel, C. Dooley, A. Nefzi, J. Ostresh, Y. Yu, G. Maggiora, J. Medina-Franco, D. Brunner, J. Schneider, Strategies for the Use of Mixture-Based Synthetic Combinatorial Libraries: Scaffold Ranking, Direct Testing In Vivo, and Enhanced Deconvolution by Computational Methods, Journal of Combinatorial Chemistry, 10 (1), 3-19, 2008.
• B. Bryan, J. Schneider, C. Miller, R. Nichol, C. Genovese, L. Wasserman, "Mapping the Cosmological Confidence Ball Surface", Astrophysical Journal, 665(1), 25-41, 2007.
• B. Bryan, B. McMahan, C. Schafer, J. Schneider,Efficiently Computing Minimax Expected-Size Confidence Regions, International Conference on Machine Learning (ICML), 2007.
• J. Roure, A. Dubrawski, J. SchneiderA Study into Detection of Bio-Events in Multiple Streams of Surveillance Data, Intelligence and Security Informatics: Biosurveillance, 2007.
• K. Das, J. Schneider,Detecting Anomalous Records in Categorical Datasets, International Conference on Knowledge Discovery and Data Mining (KDD), 2007.
• B. Bryan, L. Wasserman, J. Schneider, R. Nichol, C. Miller, C. Genovese, Active Learning for Identifying Function Threshold Boundaries, Neural Information Processing Systems (NIPS), 2005.
• R. Emery-Montemerlo, G. Gordon, J. Schneider, S. Thrun, Game Theoretic Control for Robot Teams, International Conference on Robotics and Automation, 2005.
• J. Schneider, D. Apfelbaum, D. Bagnell, R. Simmons,Learning Opportunity Costs in Multi-Robot Market Based Planners, International Conference on Robotics and Automation, 2005.
• P. Hsiung, A. Moore, D. Neill, J. Schneider,Alias Detection in Link Data Sets, International Conference on Intelligence Analysis, 2005.
• S. Baker, I. Matthews, J. Schneider,Automatic Construction of Active Appearance Models as an Image Coding Problem, IEEE Transactions on Pattern Analysis and Machine Intelligence, v. 26, no. 10, 2004.
• K. Das, A. Moore, J. Schneider,Belief state approaches to signaling alarms in surveillance systems, ACM International Conference on Knowledge Discovery and Data Mining (KDD), 2004.
• Rosemary Emery-Montemerlo, Geoff Gordon, Jeff Schneider, Sebastian Thrun,Approximate Solutions for Partially Observable Stochastic Games with Common Payoffs, Autonomous Agents and Multi-Agent Systems (AAMAS), 2004.
• Y. Liu, N. Lazar, W. Rothfus, F. Dellaert, A. Moore, J. Schneider, T. Kanade, Semantic based Biomedical Image Indexing and Retrieval, Trends and Advances in Content-Based Image and Video Retrieval, Shapiro, Kriegel, and Veltkamp, ed., 2004.
• Drew Bagnell, Sham Kakade, Andrew Ng, Jeff Schneider,Policy Search by Dynamic Programming, Proceedings of Neural Information Processing Systems, 2003.
• J. A. Bagnell, J. Schneider, Covariant Policy Search, International Joint Conference on Artificial Intelligence (IJCAI), 2003.
• Jeremy Kubica, Andrew Moore, Jeff Schneider,Tractable Group Detection on Large Link Data Sets,The Third IEEE International Conference on Data Mining, 2003.
• Jeremy Kubica, Andrew Moore, David Cohn, Jeff Schneider,cGraph: A Fast Graph-Based Method for Link Analysis and Queries,Proceedings of the 2003 IJCAI Text-Mining & Link-Analysis Workshop, 2003.
• Anna Goldenberg, Jeremy Kubica, Paul Komarek, Andrew Moore, Jeff Schneider,A Comparison of Statistical and Machine Learning Algorithms on the Task of Link Completion, KDD Workshop on Link Analysis for Detecting Complex Behavior, 2003.
• J. Kubica, A. Moore, D. Cohn, J. Schneider, Finding Underlying Connections: A Fast Method for Link Analysis and Collaboration Queries, International Conference on Machine Learning (ICML), 2003.
• J. Schneider, A. Moore, Active Learning in Discrete Input Spaces, The 34th Interface Symposium, Montreal, Quebec, Apr 17-20, 2002.
• A. Moore, J. Schneider, Real-valued All-Dimensions search: Low-overhead rapid searching over subsets of attributes, Conference of Uncertainty in Artificial Intelligence (UAI), 2002.
• J. Kubica, A. Moore, J. Schneider, Y. Yang, Stochastic Link and Group Detection, Eighteenth National Conference on Artificial Intelligence (AAAI), 2002.
• C. Miller, C. Genovese, R. Nichol, L. Wasserman, A. Connolly, D. Reichart, A. Hopkins, J. Schneider, A. Moore,Controlling the False Discovery Rate in Astrophysical Data Analysis,Astronomical Journal,122,6,3492-3505,2001.
• Y. Liu, F. Dellaert, W.E. Rothfus, A. Moore, J. Schneider, T. Kanade Classification-Driven Pathological Neuroimage Retrieval Using Statistical Asymmetry Measures (0.6MB gzipped) Proceedings of the International Conference of Medical Image Computing and Computer Assisted Intervention (MICCAI 2001), October 14-17, 2001.
• M. Riedmiller, A. Moore, J. Schneider, Reinforcement Learning for Cooperating and Communicating Reactive Agents in Electrical Power Grids in Balancing Reactivity and Social Deliberation in Multi-agent Systems, edited by M. Hannebauer, J. Wendler, E. Pagello, Springer, 2001
• J. Andrew Bagnell, Jeff Schneider Autonomous Helicopter Control using Reinforcement Learning Policy Search Methods International Conference on Robotics and Automation, 2001
• Jeff Schneider, Weng-Keen Wong, Andrew Moore, Martin Riedmiller Distributed Value Functions, International Conference on Machine Learning, 1999
• Mei Chen, Takeo Kanade, Dean Pomerleau, Jeff Schneider, 3-D Deformable Registration of Medical Images Using a Statistical Atlas (1.6MB gzipped), Second International Conference on Medical Image Computing and Computer-Assisted Intervention, 1999
• Jeff Schneider, Justin Boyan, Andrew Moore, Value Function Based Production Scheduling, International Conference on Machine Learning, 1998
• Andrew Moore, Jeff Schneider, Justin Boyan, Mary Lee, Q2: Memory-based active learning for optimizing noisy continuous functions, International Conference on Machine Learning, 1998
• Andrew Moore, Jeff Schneider, Kan Deng, Efficient Locally Weighted Polynomial Regression Predictions, International Conference on Machine Learning, 1997
• Jeff G. Schneider, Exploiting Model Uncertainty Estimates for Safe Dynamic Control Learning, Neural Information Processing Systems 9, 1996
• Jeff G. Schneider, Active Learning on Non-Stationary Functions, Working Notes of the AAAI Fall Symposium on Active Learning, 1995
• Andrew W. Moore and Jeff G. Schneider, Memory-based Stochastic Optimization, Neural Information Processing Systems 8, 1995
• Jeff G. Schneider, Robot Skill Learning Through Intelligent Experimentation, PhD Thesis, University of Rochester, 1995
• Jeff G. Schneider and Christopher M. Brown, Cooperative Coaching in Robot Learning, International Conference on Intelligent Robots and Systems, 1995
• Jeff G. Schneider and Roger F. Gans, Efficient Search for Robot Skill Learning: Simulation and Reality, International Conference on Intelligent Robots and Systems, 1994