Jensen, David D.

20 publications

AAAI 2021 Improving Causal Inference by Increasing Model Expressiveness David D. Jensen

UAI 2016 Inferring Causal Direction from Relational Data David T. Arbour, Katerina Marazopoulou, David D. Jensen

UAI 2015 Learning the Structure of Causal Models with Relational and Temporal Dependence Katerina Marazopoulou, Marc E. Maier, David D. Jensen

AAAI 2015 Learning to Uncover Deep Musical Structure Phillip B. Kirlin, David D. Jensen

UAI 2014 Propensity Score Matching for Causal Inference with Relational Data David T. Arbour, Katerina Marazopoulou, Dan Garant, David D. Jensen

UAI 2013 A Sound and Complete Algorithm for Learning Causal Models from Relational Data Marc E. Maier, Katerina Marazopoulou, David T. Arbour, David D. Jensen

AAAI 2011 Relational Blocking for Causal Discovery Matthew J. Rattigan, Marc E. Maier, David D. Jensen

AAAI 2010 Learning Causal Models of Relational Domains Marc E. Maier, Brian J. Taylor, Hüseyin Oktay, David D. Jensen

MLJ 2008 A Bias/variance Decomposition for Models Using Collective Inference Jennifer Neville, David D. Jensen

ICML 2007 Graph Clustering with Network Structure Indices Matthew J. Rattigan, Marc E. Maier, David D. Jensen

MLJ 2006 Introduction to the Special Issue on Multi-Relational Data Mining and Statistical Relational Learning Hendrik Blockeel, David D. Jensen, Stefan Kramer

AAAI 2005 A Relational Representation for Procedural Task Knowledge Stephen Hart, Roderic A. Grupen, David D. Jensen

IJCAI 2005 Decentralized Search in Networks Using Homophily and Degree Disparity Özgür Simsek, David D. Jensen

ICML 2003 Avoiding Bias When Aggregating Relational Data with Degree Disparity David D. Jensen, Jennifer Neville, Michael Hay

ICML 2003 Identifying Predictive Structures in Relational Data Using Multiple Instance Learning Amy McGovern, David D. Jensen

ICML 2002 Linkage and Autocorrelation Cause Feature Selection Bias in Relational Learning David D. Jensen, Jennifer Neville

MLJ 2000 Multiple Comparisons in Induction Algorithms David D. Jensen, Paul R. Cohen

AAAI 1999 Learning Quantitative Knowledge for Multiagent Coordination David D. Jensen, Michael Atighetchi, Régis Vincent, Victor R. Lesser

AAAI 1999 Toward a Theoretical Understanding of Why and When Decision Tree Pruning Algorithms Fail Tim Oates, David D. Jensen

ICML 1997 The Effects of Training Set Size on Decision Tree Complexity Tim Oates, David D. Jensen