Jeff G. Schneider

The Robotics Institute, Carnegie Mellon University

	2013
i4		Andrew W. Moore, Jeff G. Schneider: Real-valued All-Dimensions search: Low-overhead rapid searching over subsets of attributes. CoRR abs/1301.0589 (2013)
	2012
j7		Jieyue Li, Liang Xiong, Jeff G. Schneider, Robert F. Murphy: Protein subcellular location pattern classification in cellular images using latent discriminative models. Bioinformatics 28(12): 32-39 (2012)
j6		Barnabás Póczos, Jeff G. Schneider: Nonparametric Estimation of Conditional Information and Divergences. Journal of Machine Learning Research - Proceedings Track 22: 914-923 (2012)
c46		Barnabás Póczos, Liang Xiong, Dougal J. Sutherland, Jeff G. Schneider: Nonparametric kernel estimators for image classification. CVPR 2012: 2989-2996
c45		Barnabás Póczos, Zoubin Ghahramani, Jeff G. Schneider: Copula-based Kernel Dependency Measures. ICML 2012
c44		Tzu-Kuo Huang, Jeff G. Schneider: Learning Bi-clustered Vector Autoregressive Models. ECML/PKDD (2) 2012: 741-756
i3		Barnabás Póczos, Liang Xiong, Dougal J. Sutherland, Jeff G. Schneider: Support Distribution Machines. CoRR abs/1202.0302 (2012)
i2		Barnabás Póczos, Liang Xiong, Jeff G. Schneider: Nonparametric Divergence Estimation with Applications to Machine Learning on Distributions. CoRR abs/1202.3758 (2012)
i1		Barnabás Póczos, Zoubin Ghahramani, Jeff G. Schneider: Copula-based Kernel Dependency Measures. CoRR abs/1206.4682 (2012)
	2011
j5		Barnabás Póczos, Jeff G. Schneider: On the Estimation of alpha-Divergences. Journal of Machine Learning Research - Proceedings Track 15: 609-617 (2011)
j4		Liang Xiong, Barnabás Póczos, Jeff G. Schneider, Andrew Connolly, Jake VanderPlas: Hierarchical Probabilistic Models for Group Anomaly Detection. Journal of Machine Learning Research - Proceedings Track 15: 789-797 (2011)
j3		Yi Zhang, Jeff G. Schneider: Multi-Label Output Codes using Canonical Correlation Analysis. Journal of Machine Learning Research - Proceedings Track 15: 873-882 (2011)
c43		Liang Xiong, Xi Chen, Jeff G. Schneider: Direct Robust Matrix Factorizatoin for Anomaly Detection. ICDM 2011: 844-853
c42		Matthew Tesch, Jeff G. Schneider, Howie Choset: Adapting control policies for expensive systems to changing environments. IROS 2011: 357-364
c41		Matthew Tesch, Jeff G. Schneider, Howie Choset: Using response surfaces and expected improvement to optimize snake robot gait parameters. IROS 2011: 1069-1074
c40		Liang Xiong, Barnabás Póczos, Jeff G. Schneider: Group Anomaly Detection using Flexible Genre Models. NIPS 2011: 1071-1079
c39		Tzu-Kuo Huang, Jeff G. Schneider: Learning Auto-regressive Models from Sequence and Non-sequence Data. NIPS 2011: 1548-1556
c38		Barnabás Póczos, Liang Xiong, Jeff G. Schneider: Nonparametric Divergence Estimation with Applications to Machine Learning on Distributions. UAI 2011: 599-608
	2010
j2		Tzu-Kuo Huang, Le Song, Jeff G. Schneider: Learning Nonlinear Dynamic Models from Non-sequenced Data. Journal of Machine Learning Research - Proceedings Track 9: 350-357 (2010)
c37		Yi Zhang, Jeff G. Schneider: Projection Penalties: Dimension Reduction without Loss. ICML 2010: 1223-1230
c36		Yi Zhang, Jeff G. Schneider: Learning Multiple Tasks with a Sparse Matrix-Normal Penalty. NIPS 2010: 2550-2558
c35		Liang Xiong, Xi Chen, Tzu-Kuo Huang, Jeff G. Schneider, Jaime G. Carbonell: Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization. SDM 2010: 211-222
c34		Pinar Donmez, Jaime G. Carbonell, Jeff G. Schneider: A Probabilistic Framework to Learn from Multiple Annotators with Time-Varying Accuracy. SDM 2010: 826-837
c33		Yi Zhang, Jeff G. Schneider, Artur Dubrawski: Learning Compressible Models. SDM 2010: 872-881
	2009
c32		Tzu-Kuo Huang, Jeff G. Schneider: Learning linear dynamical systems without sequence information. ICML 2009: 54
c31		Pinar Donmez, Jaime G. Carbonell, Jeff G. Schneider: Efficiently learning the accuracy of labeling sources for selective sampling. KDD 2009: 259-268
	2008
c30		Brent Bryan, Jeff G. Schneider: Actively learning level-sets of composite functions. ICML 2008: 80-87
c29		Kaustav Das, Jeff G. Schneider, Daniel B. Neill: Anomaly pattern detection in categorical datasets. KDD 2008: 169-176
c28		Yi Zhang, Jeff G. Schneider, Artur Dubrawski: Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text. NIPS 2008: 1945-1952
	2007
c27		Josep Roure, Artur Dubrawski, Jeff G. Schneider: A Study into Detection of Bio-Events in Multiple Streams of Surveillance Data. BioSurveillance 2007: 124-133
c26		Brent Bryan, H. Brendan McMahan, Chad M. Schafer, Jeff G. Schneider: Efficiently computing minimax expected-size confidence regions. ICML 2007: 97-104
c25		Kaustav Das, Jeff G. Schneider: Detecting anomalous records in categorical datasets. KDD 2007: 220-229
	2005
c24		Jeff G. Schneider, David Apfelbaum, Drew Bagnell, Reid G. Simmons: Learning Opportunity Costs in Multi-Robot Market Based Planners. ICRA 2005: 1151-1156
c23		Rosemary Emery-Montemerlo, Geoffrey J. Gordon, Jeff G. Schneider, Sebastian Thrun: Game Theoretic Control for Robot Teams. ICRA 2005: 1163-1169
c22		Brent Bryan, Jeff G. Schneider, Robert Nichol, Christopher Miller, Christopher Genovese, Larry A. Wasserman: Active Learning For Identifying Function Threshold Boundaries. NIPS 2005
	2004
j1		Simon Baker, Iain Matthews, Jeff G. Schneider: Automatic Construction of Active Appearance Models as an Image Coding Problem. IEEE Trans. Pattern Anal. Mach. Intell. 26(10): 1380-1384 (2004)
c21		Rosemary Emery-Montemerlo, Geoffrey J. Gordon, Jeff G. Schneider, Sebastian Thrun: Approximate Solutions for Partially Observable Stochastic Games with Common Payoffs. AAMAS 2004: 136-143
c20		Kaustav Das, Andrew W. Moore, Jeff G. Schneider: Belief state approaches to signaling alarms in surveillance systems. KDD 2004: 539-544
	2003
c19		Jeremy Kubica, Andrew W. Moore, Jeff G. Schneider: Tractable Group Detection on Large Link Data Sets. ICDM 2003: 573-576
c18		Jeremy Kubica, Andrew W. Moore, David Cohn, Jeff G. Schneider: Finding Underlying Connections: A Fast Graph-Based Method for Link Analysis and Collaboration Queries. ICML 2003: 392-399
c17		J. Andrew Bagnell, Jeff G. Schneider: Covariant Policy Search. IJCAI 2003: 1019-1024
c16		J. Andrew Bagnell, Sham Kakade, Andrew Y. Ng, Jeff G. Schneider: Policy Search by Dynamic Programming. NIPS 2003
	2002
c15		Jeremy Kubica, Andrew W. Moore, Jeff G. Schneider, Yiming Yang: Stochastic Link and Group Detection. AAAI/IAAI 2002: 798-806
c14		Andrew W. Moore, Jeff G. Schneider: Real-valued All-Dimensions Search: Low-overhead Rapid Searching over Subsets of Attributes. UAI 2002: 360-369
	2001
c13		J. Andrew Bagnell, Jeff G. Schneider: Autonomous Helicopter Control using Reinforcement Learning Policy Search Methods. ICRA 2001: 1615-1620
c12		Yanxi Liu, Frank Dellaert, William E. Rothfus, Andrew W. Moore, Jeff G. Schneider, Takeo Kanade: Classification-Driven Pathological Neuroimage Retrieval Using Statistical Asymmetry Measures. MICCAI 2001: 655-665
	2000
c11		Martin A. Riedmiller, Andrew W. Moore, Jeff G. Schneider: Reinforcement Learning for Cooperating and Communicating Reactive Agents in Electrical Power Grids. Balancing Reactivity and Social Deliberation in Multi-Agent Systems 2000: 137-149
c10		Andrew W. Moore, Jeff G. Schneider, Justin A. Boyan, Mary S. Lee: Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions. ICRA 2000: 4096-
	1999
c9		Jeff G. Schneider, Weng-Keen Wong, Andrew W. Moore, Martin A. Riedmiller: Distributed Value Functions. ICML 1999: 371-378
c8		Mei Chen, Takeo Kanade, Dean Pomerleau, Jeff G. Schneider: 3-D Deformable Registration of Medical Images Using a Statistical Atlas. MICCAI 1999: 621-630
	1998
c7		Andrew W. Moore, Jeff G. Schneider, Justin A. Boyan, Mary S. Lee: Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions. ICML 1998: 386-394
c6		Jeff G. Schneider, Justin A. Boyan, Andrew W. Moore: Value Function Based Production Scheduling. ICML 1998: 522-530
	1997
c5		Andrew W. Moore, Jeff G. Schneider, Kan Deng: Efficient Locally Weighted Polynomial Regression Predictions. ICML 1997: 236-244
	1996
c4		Jeff G. Schneider: Exploiting Model Uncertainty Estimates for Safe Dynamic Control Learning. NIPS 1996: 1047-1053
	1995
c3		Andrew W. Moore, Jeff G. Schneider: Memory-based Stochastic Optimization. NIPS 1995: 1066-1072
	1994
c2		Jeff G. Schneider: High Dimension Action Spaces in Robot Skill Learning. AAAI 1994: 1272-1278
	1993
c1		Jeff G. Schneider, Christopher M. Brown: Robot Skill Learning, Basic Functions, and Control Regimes. ICRA (1) 1993: 403-410

Coauthor Index

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