Rich Caruana

Alexandru Niculescu-Mizil, Rich Caruana: Inductive Transfer for Bayesian Network Structure Learning. Journal of Machine Learning Research - Proceedings Track 27: 167-180 (2012)

Joydeep Ghosh, Padhraic Smyth, Andrew Tomkins, Rich Caruana: Special issue on best of SIGKDD 2011. TKDD 6(4): 14 (2012)

Oriol Vinyals, Dan Bohus, Rich Caruana: Learning speaker, addressee and overlap detection models from multimodal streams. ICMI 2012: 417-424

Yin Lou, Rich Caruana, Johannes Gehrke: Intelligible models for classification and regression. KDD 2012: 150-158

Alexandru Niculescu-Mizil, Rich Caruana: Obtaining Calibrated Probabilities from Boosting. CoRR abs/1207.1403 (2012)

Yasser Ganjisaffar, Rich Caruana, Cristina Videira Lopes: Bagging gradient-boosted trees for high precision, low variance ranking models. SIGIR 2011: 85-94

Daria Sorokina, Rich Caruana, Mirek Riedewald, Wesley M. Hochachka, Steve Kelling: Detecting and Interpreting Variable Interactions in Observational Ornithology Data. ICDM Workshops 2009: 64-69

M. Arthur Munson, Rich Caruana: On Feature Selection, Bias-Variance, and Bagging. ECML/PKDD (2) 2009: 144-159

Engin Ipek, Sally A. McKee, Karan Singh, Rich Caruana, Bronis R. de Supinski, Martin Schulz: Efficient architectural design space exploration via predictive modeling. TACO 4(4) (2008)

Rich Caruana, Nikolaos Karampatziakis, Ainur Yessenalina: An empirical evaluation of supervised learning in high dimensions. ICML 2008: 96-103

Daria Sorokina, Rich Caruana, Mirek Riedewald, Daniel Fink: Detecting statistical interactions with additive groves of trees. ICML 2008: 1000-1007

Engin Ipek, Onur Mutlu, José F. Martínez, Rich Caruana: Self-Optimizing Memory Controllers: A Reinforcement Learning Approach. ISCA 2008: 39-50

Nam Nguyen, Rich Caruana: Classification with partial labels. KDD 2008: 551-559

Nam Nguyen, Rich Caruana: Improving Classification with Pairwise Constraints: A Margin-Based Approach. ECML/PKDD (2) 2008: 113-124

Karan Singh, Engin Ipek, Sally A. McKee, Bronis R. de Supinski, Martin Schulz, Rich Caruana: Predicting parallel application performance via machine learning approaches. Concurrency and Computation: Practice and Experience 19(17): 2219-2235 (2007)

Alexandru Niculescu-Mizil, Rich Caruana: Inductive Transfer for Bayesian Network Structure Learning. Journal of Machine Learning Research - Proceedings Track 2: 339-346 (2007)

David B. Skalak, Alexandru Niculescu-Mizil, Rich Caruana: Classifier Loss Under Metric Uncertainty. ECML 2007: 310-322

Daria Sorokina, Rich Caruana, Mirek Riedewald: Additive Groves of Regression Trees. ECML 2007: 323-334

Nam Nguyen, Rich Caruana: Consensus Clusterings. ICDM 2007: 607-612

Pavel Berkhin, Rich Caruana, Xindong Wu (Eds.): Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Jose, California, USA, August 12-15, 2007. ACM 2007, isbn 978-1-59593-609-7

Engin Ipek, Sally A. McKee, Rich Caruana, Bronis R. de Supinski, Martin Schulz: Efficiently exploring architectural design spaces via predictive modeling. ASPLOS 2006: 195-206

Rich Caruana, Mohamed Farid Elhawary, Nam Nguyen, Casey Smith: Meta Clustering. ICDM 2006: 107-118

Rich Caruana, Art Munson, Alexandru Niculescu-Mizil: Getting the Most Out of Ensemble Selection. ICDM 2006: 828-833

Rich Caruana, Alexandru Niculescu-Mizil: An empirical comparison of supervised learning algorithms. ICML 2006: 161-168

Lars Backstrom, Rich Caruana: C2FS: An Algorithm for Feature Selection in Cascade Neural Networks. IJCNN 2006: 4748-4753

Cristian Bucila, Rich Caruana, Alexandru Niculescu-Mizil: Model compression. KDD 2006: 535-541

Rich Caruana, Mohamed Farid Elhawary, Art Munson, Mirek Riedewald, Daria Sorokina, Daniel Fink, Wesley M. Hochachka, Steve Kelling: Mining citizen science data to predict orevalence of wild bird species. KDD 2006: 909-915

Gregory F. Cooper, Vijoy Abraham, Constantin F. Aliferis, John M. Aronis, Bruce G. Buchanan, Rich Caruana, Michael J. Fine, Janine E. Janosky, Gary Livingston, Tom M. Mitchell: Predicting dire outcomes of patients with community acquired pneumonia. Journal of Biomedical Informatics 38(5): 347-366 (2005)

Alexandru Niculescu-Mizil, Rich Caruana: Predicting good probabilities with supervised learning. ICML 2005: 625-632

Art Munson, Claire Cardie, Rich Caruana: Optimizing to Arbitrary NLP Metrics using Ensemble Selection. HLT/EMNLP 2005

Alexandru Niculescu-Mizil, Rich Caruana: Obtaining Calibrated Probabilities from Boosting. UAI 2005: 413-

Rich Caruana, Thorsten Joachims, Lars Backstrom: KDD-Cup 2004: results and analysis. SIGKDD Explorations 6(2): 95-108 (2004)

Rich Caruana, Alexandru Niculescu-Mizil, Geoff Crew, Alex Ksikes: Ensemble selection from libraries of models. ICML 2004

Rich Caruana, Alexandru Niculescu-Mizil: Data mining in metric space: an empirical analysis of supervised learning performance criteria. KDD 2004: 69-78

Rich Caruana, Alexandru Niculescu-Mizil: An Empirical Evaluation of Supervised Learning for ROC Area. ROCAI 2004: 1-8

Rich Caruana, Alexandru Niculescu-Mizil: Data Mining in Metric Space: An Empirical Analysis of Supervised Learning Performance Criteria. ROCAI 2004: 9-18

Rich Caruana, Virginia R. de Sa: Benefitting from the Variables that Variable Selection Discards. Journal of Machine Learning Research 3: 1245-1264 (2003)

John Langford, Rich Caruana: (Not) Bounding the True Error. NIPS 2001: 809-816

Joseph O'Sullivan, John Langford, Rich Caruana, Avrim Blum: FeatureBoost: A Meta-Learning Algorithm that Improves Model Robustness. ICML 2000: 703-710

Rich Caruana, Steve Lawrence, C. Lee Giles: Overfitting in Neural Nets: Backpropagation, Conjugate Gradient, and Early Stopping. NIPS 2000: 402-408

Adam L. Berger, Rich Caruana, David Cohn, Dayne Freitag, Vibhu O. Mittal: Bridging the lexical chasm: statistical approaches to answer-finding. SIGIR 2000: 192-199

Gregory F. Cooper, Constantin F. Aliferis, Richard Ambrosino, John M. Aronis, Bruce G. Buchanan, Rich Caruana, Michael J. Fine, Clark Glymour, Geoffrey J. Gordon, Barbara H. Hanusa, Janine E. Janosky, Christopher Meek, Tom M. Mitchell, Thomas S. Richardson, Peter Spirtes: An evaluation of machine-learning methods for predicting pneumonia mortality. Artificial Intelligence in Medicine 9(2): 107-138 (1997)

Rich Caruana: Multitask Learning. Machine Learning 28(1): 41-75 (1997)

Rich Caruana: Algorithms and Applications for Multitask Learning. ICML 1996: 87-95

Rich Caruana: A Dozen Tricks with Multitask Learning. Neural Networks: Tricks of the Trade 1996: 165-191

Rich Caruana, Virginia R. de Sa: Promoting Poor Features to Supervisors: Some Inputs Work Better as Outputs. NIPS 1996: 389-395

Shumeet Baluja, Rich Caruana: Removing the Genetics from the Standard Genetic Algorithm. ICML 1995: 38-46

Rich Caruana, Shumeet Baluja, Tom M. Mitchell: Using the Future to Sort Out the Present: Rankprop and Multitask Learning for Medical Risk Evaluation. NIPS 1995: 959-965

Tom M. Mitchell, Rich Caruana, Dayne Freitag, John P. McDermott, David Zabowski: Experience with a Learning Personal Assistant. Commun. ACM 37(7): 80-91 (1994)

Rich Caruana, Dayne Freitag: Greedy Attribute Selection. ICML 1994: 28-36

Rich Caruana: Learning Many Related Tasks at the Same Time with Backpropagation. NIPS 1994: 657-664

Rich Caruana: Multitask Learning: A Knowledge-Based Source of Inductive Bias. ICML 1993: 41-48

Larry J. Eshelman, Rich Caruana, J. David Schaffer: Biases in the Crossover Landscape. ICGA 1989: 10-19

J. David Schaffer, Rich Caruana, Larry J. Eshelman, Rajarshi Das: A Study of Control Parameters Affecting Online Performance of Genetic Algorithms for Function Optimization. ICGA 1989: 51-60

Rich Caruana, J. David Schaffer, Larry J. Eshelman: Using Multiple Representations to Improve Inductive Bias: Gray and Binary Coding for Genetic Algorithms. ML 1989: 375-378

Rich Caruana, Larry J. Eshelman, J. David Schaffer: Representation and Hidden Bias II: Eliminating Defining Length Bias in Genetic Search via Shuffle Crossover. IJCAI 1989: 750-755

Rich Caruana: The automatic training of rule bases that use numerical uncertainty representations. Int. J. Approx. Reasoning 2(3): 330-331 (1988)

Rich Caruana, J. David Schaffer: Representation and Hidden Bias: Gray vs. Binary Coding for Genetic Algorithms. ML 1988: 153-161

Rich Caruana: The Automatic Training of Rule Bases that Use Numerical Uncertainty Representations. UAI 1987: 347-356