Abraham J. Wyner

According to our database, Abraham J. Wyner authored at least 18 papers between 1995 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Introducing the Multi-Brackets Problem.

Ryan S. Brill, Ian J. Barnett, Abraham J. Wyner

CoRR, 2023

2022

Introducing Grid WAR: Rethinking WAR for Starting Pitchers.

Ryan S. Brill, Abraham J. Wyner

CoRR, 2022

2018

Making Sense of Random Forest Probabilities: a Kernel Perspective.

Matthew Olson, Abraham J. Wyner

CoRR, 2018

Modern Neural Networks Generalize on Small Data Sets.

Matthew Olson, Abraham J. Wyner, Richard Berk

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Explaining the Success of AdaBoost and Random Forests as Interpolating Classifiers.

Abraham J. Wyner, Matthew Olson, Justin Bleich, David Mease

J. Mach. Learn. Res., 2017

2012

Partial Kelly portfolios and shrinkage estimators.

Justin K. Rising, Abraham J. Wyner

Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

2008

Evidence Contrary to the Statistical View of Boosting.

David Mease, Abraham J. Wyner

J. Mach. Learn. Res., 2008

2007

Boosted Classification Trees and Class Probability/Quantile Estimation.

David Mease, Abraham J. Wyner, Andreas Buja

J. Mach. Learn. Res., 2007

2005

A statistical view of universal stock market portfolios.

Cengiz Y. Belentepe, Abraham J. Wyner

Proceedings of the 2005 IEEE International Symposium on Information Theory, 2005

2003

On Boosting and the Exponential Loss.

Abraham J. Wyner

Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003

2002

Universal codes for finite sequences of integers drawn from a monotone distribution.

Dean P. Foster, Robert A. Stine, Abraham J. Wyner

IEEE Trans. Inf. Theory, 2002

2001

Boosting Noisy Data.

Abba Krieger, Chuan Long, Abraham J. Wyner

Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

1999

Data Analysis with Bayesian Networks: A Bootstrap Approach.

Nir Friedman, Moisés Goldszmidt, Abraham J. Wyner

Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

On the application of the bootstrap for computing confidence measures on features of induced Bayesian networks.

Nir Friedman, Moisés Goldszmidt, Abraham J. Wyner

Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999

1998

On the Role of Pattern Matching in Information Theory.

Aaron D. Wyner, Jacob Ziv, Abraham J. Wyner

IEEE Trans. Inf. Theory, 1998

Nonparametric Entropy Estimation for Stationary Processesand Random Fields, with Applications to English Text.

Ioannis Kontoyiannis, Paul H. Algoet, Yuri M. Suhov, Abraham J. Wyner

IEEE Trans. Inf. Theory, 1998

1997

The redundancy and distribution of the phrase lengths of the fixed-database Lempel-Ziv algorithm.

Abraham J. Wyner

IEEE Trans. Inf. Theory, 1997

1995

Improved redundancy of a version of the Lempel-Ziv algorithm.

Aaron D. Wyner, Abraham J. Wyner

IEEE Trans. Inf. Theory, 1995