Roman Lutz

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All published works

Action	Title	Year	Authors
+	Fairlearn: Assessing and Improving Fairness of AI Systems	2023	Hilde Weerts Miroslav Dudı́k R. J. Edgar Adrin Jalali Roman Lutz Michael P. Madaio
+	A Framework for Automated Measurement of Responsible AI Harms in Generative AI Applications	2023	Ahmed Magooda Alec Helyar Kyle Jackson David Sullivan Chad Atalla Emily Sheng Dan Vann R. J. Edgar Hamid Palangi Roman Lutz
+	Security and Privacy in Future Internet Architectures - Benefits and Challenges of Content Centric Networks.	2016	Roman Lutz
+	Security and Privacy in Future Internet Architectures - Benefits and Challenges of Content Centric Networks	2016	Roman Lutz
+	Fantasy Football Prediction	2015	Roman Lutz
+	Robustified L2 boosting	2007	Roman Lutz Markus Kalisch Peter Bühlmann
+	Conjugate Direction Boosting	2006	Roman Lutz Peter Bühlmann
+	BOOSTING FOR HIGH-MULTIVARIATE RESPONSES IN HIGH-DIMENSIONAL LINEAR REGRESSION	2006	Roman Lutz B Peter

Common Coauthors

Coauthor	Papers Together
Peter Bühlmann	2
R. J. Edgar	2
Chad Atalla	1
Hilde Weerts	1
Adrin Jalali	1
Kyle Jackson	1
Hamid Palangi	1
B Peter	1
Hanna Wallach	1
Hongliang Kong	1
Markus Kalisch	1
Eslam Kamal	1
Emily Sheng	1
Miroslav Dudík	1
Michael P. Madaio	1
Alec Helyar	1
Dan Vann	1
Mei Chen	1
David Sullivan	1
Vincent Yun	1
Ahmed Magooda	1
Sarah Bird	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Least angle regression	2004	Bradley Efron Trevor Hastie Iain M. Johnstone Robert Tibshirani	3
+	Matching pursuits with time-frequency dictionaries	1993	Stéphane Mallat Zhifeng Zhang	3
+	Boosting for high-dimensional linear models	2006	Peter Bühlmann	2
+	Boosting, model selection, lasso and nonnegative garrote	2005	Peter Bühlmann Bin Yu	2
+ PDF Chat	None	2002	Gunnar Rätsch Ayhan Demiriz Kristin P. Bennett	1
+	Regression and time series model selection in small samples	1989	Clifford M. Hurvich Chih‐Ling Tsai	1
+	A Robust Version of Mallows's <i>C</i> <sub>P</sub>	1994	Elvezio Ronchetti Robert G. Staudte	1
+ PDF Chat	Addendum: Regularization and Variable Selection Via the Elastic Net	2005	Hui Zou Trevor Hastie	1
+ PDF Chat	Moment bounds for stationary mixing sequences	1980	Ryozo Yokoyama	1
+	Robust Statistics: The Approach Based on Influence Functions	1987	David Ruppert Frank R. Hampel Elvezio Ronchetti Peter J. Rousseeuw Werner A. Stahel	1
+	Robust variable selection using least angle regression and elemental set sampling	2007	Lauren McCann Roy E. Welsch	1
+ PDF Chat	DoS and DDoS in Named Data Networking	2013	Paolo Gasti Gene Tsudik Ersin Uzun Lixia Zhang	1
+ PDF Chat	Additive logistic regression: a statistical view of boosting (With discussion and a rejoinder by the authors)	2000	Jerome H. Friedman Trevor Hastie Robert Tibshirani	1
+	Estimating Optimal Transformations for Multiple Regression and Correlation	1985	Leo Breiman Jerome H. Friedman	1
+	Robust Linear Model Selection by Cross-Validation	1997	Elvezio Ronchetti Christopher B. Field Wade Blanchard	1
+ PDF Chat	Predicting Multivariate Responses in Multiple Linear Regression	1997	Leo Breiman Jerome H. Friedman	1
+ PDF Chat	Robust Linear Model Selection Based on Least Angle Regression	2007	Jafar A Khan Stefan Van Aelst Ruben H. Zamar	1
+ PDF Chat	Robust Estimation of a Location Parameter	1964	Peter J. Huber	1
+ PDF Chat	Exploiting the connection between PLS, Lanczos methods and conjugate gradients: alternative proofs of some properties of PLS	2002	Aloke Phatak Frank de Hoog	1
+	An Efficient Method of Estimating Seemingly Unrelated Regressions and Tests for Aggregation Bias	1962	Arnold Zellner	1
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	1
+	Joint Continuum Regression for Multiple Predictands	1994	Rachel Brooks Mervyn Stone	1
+	Short Group Signatures	2004	Dan Boneh Xavier Boyen Hovav Shacham	1
+	Model Selection for Multivariate Regression in Small Samples	1994	Edward J. Bedrick Chih‐Ling Tsai	1
+	Discussion to 'Predicting multivariate responses in multiple linear regression' by L. Breiman & J.H. Friedman	1997	Cajo J. F. ter Braak	1
+	Robust Statistics: The Approach Based on Influence Functions.	1987	Christopher Jennison F. R. Hampel Elvezio Ronchetti Peter J. Rousseeuw Werner A. Stahel	1
+	Sparse Boosting	2006	Peter Bühlmann Bin Yu	1
+ PDF Chat	Boosting for high-dimensional linear models	2006	Peter Bühlmann	1
+ PDF Chat	Network-Layer Trust in Named-Data Networking	2014	Cesar Ghali Gene Tsudik Ersin Uzun	1
+ PDF Chat	Wiley Series in Probability and Statistics	2006	W. A. Shewhart Samuel Wilks David J. Balding P Bloomfield Noel Cressie N. I. Fisher Iain M. Johnstone Joseph B. Kadane Geert Molenberghs Louise Ryan	1
+	Wiley Series in Probability and Statistics	2007		1
+	A Robust Version of Mallows's C p	1994	Elvezio Ronchetti Robert G. Staudte	1
+	Alternatives to the Median Absolute Deviation	1993	Peter J. Rousseeuw Christophe Croux	1
+	Estimating Optimal Transformations for Multiple Regression and Correlation	1985	Leo Breiman Jerome H. Friedman	1
+	Robust Linear Model Selection by Cross-Validation	1997	Elvezio Ronchetti Christopher B. Field Wade Blanchard	1
+	Robust Statistics: Theory and Methods	2006	Ricardo A. Maronna R. Douglas Martin Vı́ctor J. Yohai	1
+	Applied Multivariate Analysis	2002	Neil H. Timm	1
+	ANDaNA: Anonymous Named Data Networking Application	2011	Steven DiBenedetto Paolo Gasti Gene Tsudik Ersin Uzun	1
+ PDF Chat	Backscatter from the data plane – Threats to stability and security in information-centric network infrastructure	2013	Matthias Wählisch Thomas C. Schmidt Markus Vahlenkamp	1
+	Algorithms for Robust Model Selection in Linear Regression	2004	Stephan Morgenthaler Roy E. Welsch A. Zenide	1