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ORCIDRichard Scheines
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- affiliation: Carnegie Mellon University, Pittsburgh, USA
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2010 – 2019
- 2018
[c23]Kenneth R. Koedinger, Richard Scheines, Peter Schaldenbrand:
Is the Doer Effect Robust Across Multiple Data Sets? EDM 2018- 2016
- [c22]Richard Scheines, Joseph D. Ramsey:
Measurement Error and Causal Discovery. CFA@UAI 2016: 1-7 - 2015
- [j7]Gregory F. Cooper, Ivet Bahar, Michael J. Becich, Panayiotis V. Benos
, Jeremy M. Berg, Jeremy U. Espino, Clark Glymour, Rebecca Crowley Jacobson, Michelle Kienholz, Adrian V. Lee, Xinghua Lu, Richard Scheines:
The center for causal discovery of biomedical knowledge from big data. J. Am. Medical Informatics Assoc. 22(6): 1132-1136 (2015) - 2014
- [c21]Richard Scheines, Elizabeth Silver, Ilya M. Goldin:
Discovering Prerequisite Relationships Among Knowledge Components. EDM 2014: 355-356 - [c20]Erich Kummerfeld, Joe Ramsey, Renjie Yang, Peter Spirtes, Richard Scheines:
Causal Clustering for 2-Factor Measurement Models. ECML/PKDD (2) 2014: 34-49 - 2013
- [c19]Ryan Carlson, Konstantin Genin, Martina A. Rau, Richard Scheines:
Student Profiling from Tutoring System Log Data: When do Multiple Graphical Representations Matter? EDM 2013: 12-19 - [c18]Martina A. Rau, Richard Scheines, Vincent Aleven, Nikol Rummel:
Does Representational Understanding Enhance Fluency - Or Vice Versa? Searching for Mediation Models. EDM 2013: 161-168 - [i4]Tianjiao Chu, Richard Scheines, Peter Spirtes:
Semi-Instrumental Variables: A Test for Instrument Admissibility. CoRR abs/1301.2261 (2013) - 2012
- [c17]Martina A. Rau, Richard Scheines:
Searching for Variables and Models to Investigate Mediators of Learning from Multiple Representations. EDM 2012: 110-117 - [i3]Patrik O. Hoyer, Aapo Hyvärinen, Richard Scheines, Peter Spirtes, Joseph D. Ramsey, Gustavo Lacerda, Shohei Shimizu:
Causal discovery of linear acyclic models with arbitrary distributions. CoRR abs/1206.3260 (2012) - [i2]Frederick Eberhardt, Clark Glymour, Richard Scheines:
On the Number of Experiments Sufficient and in the Worst Case Necessary to Identify All Causal Relations Among N Variables. CoRR abs/1207.1389 (2012) - [i1]Ricardo Bezerra de Andrade e Silva, Richard Scheines, Clark Glymour, Peter Spirtes:
Learning Measurement Models for Unobserved Variables. CoRR abs/1212.2516 (2012) - 2011
- [c16]Matthew W. Easterday, Vincent Aleven, Richard Scheines, Sharon M. Carver:
Using Tutors to Improve Educational Games. AIED 2011: 63-71 - 2010
- [j6]Clark Glymour, David Danks, Bruce Glymour, Frederick Eberhardt, Joseph D. Ramsey, Richard Scheines, Peter Spirtes, Choh Man Teng, Jiji Zhang:
Actual causation: a stone soup essay. Synth. 175(2): 169-192 (2010) - [c15]Benjamin Shih, Kenneth R. Koedinger, Richard Scheines:
Unsupervised Discovery of Student Strategies. EDM 2010: 201-210 - [c14]Frederick Eberhardt, Patrik O. Hoyer, Richard Scheines:
Combining Experiments to Discover Linear Cyclic Models with Latent Variables. AISTATS 2010: 185-192
2000 – 2009
- 2009
- [j5]Matthew W. Easterday, Vincent Aleven, Richard Scheines, Sharon M. Carver:
Constructing Causal Diagrams to Learn Deliberation. Int. J. Artif. Intell. Educ. 19(4): 425-445 (2009) - [c13]Matthew W. Easterday, Vincent Aleven, Richard Scheines, Sharon M. Carver:
Will Google destroy western democracy? Bias in policy problem solving. AIED 2009: 249-256 - 2008
- [c12]Benjamin Shih, Kenneth R. Koedinger, Richard Scheines:
A Response Time Model For Bottom-Out Hints as Worked Examples. EDM 2008: 117-126 - [c11]Patrik O. Hoyer, Aapo Hyvärinen, Richard Scheines, Peter Spirtes, Joseph D. Ramsey, Gustavo Lacerda, Shohei Shimizu:
Causal discovery of linear acyclic models with arbitrary distributions. UAI 2008: 282-289 - 2007
- [c10]Matthew W. Easterday, Vincent Aleven, Richard Scheines:
'Tis Better to Construct than to Receive? The Effects of Diagram Tools on Causal Reasoning. AIED 2007: 93-100 - [c9]Benjamin Shih, Kenneth R. Koedinger, Richard Scheines:
Optimizing Student Models for Causality. AIED 2007: 644-646 - 2006
- [j4]Ricardo Bezerra de Andrade e Silva, Richard Scheines, Clark Glymour, Peter Spirtes:
Learning the Structure of Linear Latent Variable Models. J. Mach. Learn. Res. 7: 191-246 (2006) - [c8]Ricardo Bezerra de Andrade e Silva, Richard Scheines:
Bayesian learning of measurement and structural models. ICML 2006: 825-832 - [c7]Ricardo Bezerra de Andrade e Silva, Richard Scheines:
Towards Association Rules with Hidden Variables. PKDD 2006: 617-624 - 2005
- [c6]Ricardo Bezerra de Andrade e Silva, Richard Scheines:
New d-separation identification results for learning continuous latent variable models. ICML 2005: 808-815 - [c5]Frederick Eberhardt, Clark Glymour, Richard Scheines:
On the Number of Experiments Sufficient and in the Worst Case Necessary to Identify All Causal Relations Among N Variables. UAI 2005: 178-184 - 2003
- [j3]Tianjiao Chu, Clark Glymour, Richard Scheines, Peter Spirtes:
A Statistical Problem for Inference to Regulatory Structure from Associations of Gene Expression Measurements with Microarrays. Bioinform. 19(9): 1147-1152 (2003) - [c4]Ricardo Bezerra de Andrade e Silva, Richard Scheines, Clark Glymour, Peter Spirtes:
Learning Measurement Models for Unobserved Variables. UAI 2003: 543-550 - 2001
- [c3]Richard Scheines, Gregory F. Cooper, Changwon Yoo, Tianjiao Chu:
Piecewise Linear Instrumental Variable Estimation of Causal Influence. AISTATS 2001: 265-271 - [c2]Tianjiao Chu, Richard Scheines, Peter Spirtes:
Semi-Instrumental Variables: A Test for Instrument Admissibility. UAI 2001: 83-90 - 2000
- [b1]Peter Spirtes, Clark Glymour, Richard Scheines:
Causation, Prediction, and Search, Second Edition. Adaptive computation and machine learning, MIT Press 2000, ISBN 978-0-262-19440-2, pp. I-XXI, 1-543
1990 – 1999
- 1997
- [c1]Richard Scheines:
Estimating Latent Causal Inferences: Tetrad II model selection and Bayesian parameter estimation. AISTATS 1997: 445-456 - 1994
- [j2]Richard Scheines, Wilfried Sieg:
Computer Environments for Proof Construction. Interact. Learn. Environ. 4(2): 159-169 (1994) - 1992
- [j1]Richard Scheines, Peter Spirtes:
Finding latent variable models in large databases. Int. J. Intell. Syst. 7(7): 609-621 (1992)
Coauthor Index
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