Rich Caruana

	2011
54		Yasser Ganjisaffar, Rich Caruana, Cristina Videira Lopes: Bagging gradient-boosted trees for high precision, low variance ranking models. SIGIR 2011: 85-94
	2009
53		M. Arthur Munson, Rich Caruana: On Feature Selection, Bias-Variance, and Bagging. ECML/PKDD (2) 2009: 144-159
52		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
	2008
51		Nam Nguyen, Rich Caruana: Improving Classification with Pairwise Constraints: A Margin-Based Approach. ECML/PKDD (2) 2008: 113-124
50		Daria Sorokina, Rich Caruana, Mirek Riedewald, Daniel Fink: Detecting statistical interactions with additive groves of trees. ICML 2008: 1000-1007
49		Rich Caruana, Nikolaos Karampatziakis, Ainur Yessenalina: An empirical evaluation of supervised learning in high dimensions. ICML 2008: 96-103
48		Engin Ipek, Onur Mutlu, José F. Martínez, Rich Caruana: Self-Optimizing Memory Controllers: A Reinforcement Learning Approach. ISCA 2008: 39-50
47		Nam Nguyen, Rich Caruana: Classification with partial labels. KDD 2008: 551-559
46		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)
	2007
45		Pavel Berkhin, Rich Caruana, Xindong Wu: Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Jose, California, USA, August 12-15, 2007 ACM 2007
44		David B. Skalak, Alexandru Niculescu-Mizil, Rich Caruana: Classifier Loss Under Metric Uncertainty. ECML 2007: 310-322
43		Daria Sorokina, Rich Caruana, Mirek Riedewald: Additive Groves of Regression Trees. ECML 2007: 323-334
42		Nam Nguyen, Rich Caruana: Consensus Clusterings. ICDM 2007: 607-612
41		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)
40		Alexandru Niculescu-Mizil, Rich Caruana: Inductive Transfer for Bayesian Network Structure Learning. Journal of Machine Learning Research - Proceedings Track 2: 339-346 (2007)
	2006
39		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
38		Rich Caruana, Mohamed Farid Elhawary, Nam Nguyen, Casey Smith: Meta Clustering. ICDM 2006: 107-118
37		Rich Caruana, Art Munson, Alexandru Niculescu-Mizil: Getting the Most Out of Ensemble Selection. ICDM 2006: 828-833
36		Rich Caruana, Alexandru Niculescu-Mizil: An empirical comparison of supervised learning algorithms. ICML 2006: 161-168
35		Lars Backstrom, Rich Caruana: C2FS: An Algorithm for Feature Selection in Cascade Neural Networks. IJCNN 2006: 4748-4753
34		Cristian Bucila, Rich Caruana, Alexandru Niculescu-Mizil: Model compression. KDD 2006: 535-541
33		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
	2005
32		Art Munson, Claire Cardie, Rich Caruana: Optimizing to Arbitrary NLP Metrics using Ensemble Selection. HLT/EMNLP 2005
31		Alexandru Niculescu-Mizil, Rich Caruana: Predicting good probabilities with supervised learning. ICML 2005: 625-632
30		Alexandru Niculescu-Mizil, Rich Caruana: Obtaining Calibrated Probabilities from Boosting. UAI 2005: 413-
29		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)
	2004
28		Rich Caruana, Alexandru Niculescu-Mizil, Geoff Crew, Alex Ksikes: Ensemble selection from libraries of models. ICML 2004
27		Rich Caruana, Alexandru Niculescu-Mizil: Data mining in metric space: an empirical analysis of supervised learning performance criteria. KDD 2004: 69-78
26		Rich Caruana, Alexandru Niculescu-Mizil: An Empirical Evaluation of Supervised Learning for ROC Area. ROCAI 2004: 1-8
25		Rich Caruana, Alexandru Niculescu-Mizil: Data Mining in Metric Space: An Empirical Analysis of Supervised Learning Performance Criteria. ROCAI 2004: 9-18
24		Rich Caruana, Thorsten Joachims, Lars Backstrom: KDD-Cup 2004: results and analysis. SIGKDD Explorations 6(2): 95-108 (2004)
	2003
23		Rich Caruana, Virginia R. de Sa: Benefitting from the Variables that Variable Selection Discards. Journal of Machine Learning Research 3: 1245-1264 (2003)
	2001
22		John Langford, Rich Caruana: (Not) Bounding the True Error. NIPS 2001: 809-816
	2000
21		Joseph O'Sullivan, John Langford, Rich Caruana, Avrim Blum: FeatureBoost: A Meta-Learning Algorithm that Improves Model Robustness. ICML 2000: 703-710
20		Rich Caruana, Steve Lawrence, C. Lee Giles: Overfitting in Neural Nets: Backpropagation, Conjugate Gradient, and Early Stopping. NIPS 2000: 402-408
19		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
	1997
18		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 Richardson, Peter Spirtes: An evaluation of machine-learning methods for predicting pneumonia mortality. Artificial Intelligence in Medicine 9(2): 107-138 (1997)
17		Rich Caruana: Multitask Learning. Machine Learning 28(1): 41-75 (1997)
	1996
16		Rich Caruana: Algorithms and Applications for Multitask Learning. ICML 1996: 87-95
15		Rich Caruana, Virginia R. de Sa: Promoting Poor Features to Supervisors: Some Inputs Work Better as Outputs. NIPS 1996: 389-395
14		Rich Caruana: A Dozen Tricks with Multitask Learning. Neural Networks: Tricks of the Trade 1996: 165-191
	1995
13		Shumeet Baluja, Rich Caruana: Removing the Genetics from the Standard Genetic Algorithm. ICML 1995: 38-46
12		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
	1994
11		Rich Caruana, Dayne Freitag: Greedy Attribute Selection. ICML 1994: 28-36
10		Rich Caruana: Learning Many Related Tasks at the Same Time with Backpropagation. NIPS 1994: 657-664
9		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)
	1993
8		Rich Caruana: Multitask Learning: A Knowledge-Based Source of Inductive Bias. ICML 1993: 41-48
	1989
7		Larry J. Eshelman, Rich Caruana, J. David Schaffer: Biases in the Crossover Landscape. ICGA 1989: 10-19
6		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
5		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
4		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
	1988
3		Rich Caruana, J. David Schaffer: Representation and Hidden Bias: Gray vs. Binary Coding for Genetic Algorithms. ML 1988: 153-161
2		Rich Caruana: The automatic training of rule bases that use numerical uncertainty representations. Int. J. Approx. Reasoning 2(3): 330-331 (1988)
	1987
1		Rich Caruana: The Automatic Training of Rule Bases that Use Numerical Uncertainty Representations. UAI 1987: 347-356

Coauthor Index

1	Vijoy Abraham	[29]
2	Constantin F. Aliferis	[18] [29]
3	Richard Ambrosino	[18]
4	John M. Aronis	[18] [29]
5	Lars Backstrom	[24] [35]
6	Shumeet Baluja	[12] [13]
7	Adam L. Berger	[19]
8	Pavel Berkhin	[45]
9	Avrim Blum	[21]
10	Bruce G. Buchanan	[18] [29]
11	Cristian Bucila	[34]
12	Claire Cardie	[32]
13	David Cohn	[19]
14	Gregory F. Cooper	[18] [29]
15	Geoff Crew	[28]
16	Rajarshi Das	[6]
17	Mohamed Farid Elhawary	[33] [38]
18	Larry J. Eshelman	[4] [5] [6] [7]
19	Michael J. Fine	[18] [29]
20	Daniel Fink	[33] [50]
21	Dayne Freitag	[9] [11] [19]
22	Yasser Ganjisaffar	[54]
23	C. Lee Giles (Clyde Lee Giles)	[20]
24	Clark Glymour	[18]
25	Geoffrey J. Gordon	[18]
26	Barbara H. Hanusa	[18]
27	Wesley M. Hochachka	[33] [52]
28	Engin Ipek	[39] [41] [46] [48]
29	Janine E. Janosky	[18] [29]
30	Thorsten Joachims	[24]
31	Nikolaos Karampatziakis	[49]
32	Steve Kelling	[33] [52]
33	Alex Ksikes	[28]
34	John Langford	[21] [22]
35	Steve Lawrence	[20]
36	Gary Livingston	[29]
37	Cristina Videira Lopes	[54]
38	José F. Martínez	[48]
39	John P. McDermott	[9]
40	Sally A. McKee	[39] [41] [46]
41	Christopher Meek	[18]
42	Tom M. Mitchell	[9] [12] [18] [29]
43	Vibhu O. Mittal	[19]
44	Art Munson	[32] [33] [37]
45	M. Arthur Munson	[53]
46	Onur Mutlu	[48]
47	Nam Nguyen	[38] [42] [47] [51]
48	Alexandru Niculescu-Mizil	[25] [26] [27] [28] [30] [31] [34] [36] [37] [40] [44]
49	Joseph O'Sullivan	[21]
50	Thomas Richardson	[18]
51	Mirek Riedewald	[33] [43] [50] [52]
52	Virginia R. de Sa	[15] [23]
53	J. David Schaffer	[3] [4] [5] [6] [7]
54	Martin Schulz	[39] [41] [46]
55	Karan Singh	[41] [46]
56	David B. Skalak	[44]
57	Casey Smith	[38]
58	Daria Sorokina	[33] [43] [50] [52]
59	Peter Spirtes	[18]
60	Bronis R. de Supinski	[39] [41] [46]
61	Xindong Wu	[45]
62	Ainur Yessenalina	[49]
63	David Zabowski	[9]

Colors in the list of coauthors

Last update Fri May 25 01:42:58 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page