Abraham J. Wyner

Publication Activity (10 Years)

Years Active: 1995-2023
Publications (10 Years): 5

Top Topics

Small Data Sets

Boosting Algorithms

Bayesian Networks

Top Venues

J. Mach. Learn. Res.

Publications

Ryan S. Brill, Ian J. Barnett, Abraham J. Wyner
Introducing the Multi-Brackets Problem. CoRR (2023)
Ryan S. Brill, Abraham J. Wyner
Introducing Grid WAR: Rethinking WAR for Starting Pitchers. CoRR (2022)
Matthew Olson, Abraham J. Wyner, Richard Berk
Modern Neural Networks Generalize on Small Data Sets. NeurIPS (2018)
Matthew Olson, Abraham J. Wyner
Making Sense of Random Forest Probabilities: a Kernel Perspective. CoRR (2018)
Abraham J. Wyner, Matthew Olson, Justin Bleich, David Mease
Explaining the Success of AdaBoost and Random Forests as Interpolating Classifiers. J. Mach. Learn. Res. 18 (2017)
Abraham J. Wyner, Matthew Olson, Justin Bleich, David Mease
Explaining the Success of AdaBoost and Random Forests as Interpolating Classifiers. CoRR (2015)
Nir Friedman, Moisés Goldszmidt, Abraham J. Wyner
Data Analysis with Bayesian Networks: A Bootstrap Approach CoRR (2013)
Justin K. Rising, Abraham J. Wyner
Partial Kelly portfolios and shrinkage estimators. ISIT (2012)
David Mease, Abraham J. Wyner
Evidence Contrary to the Statistical View of Boosting. J. Mach. Learn. Res. 9 (2008)
David Mease, Abraham J. Wyner, Andreas Buja
Boosted Classification Trees and Class Probability/Quantile Estimation. J. Mach. Learn. Res. 8 (2007)
Cengiz Y. Belentepe, Abraham J. Wyner
A statistical view of universal stock market portfolios. ISIT (2005)
Abraham J. Wyner
On Boosting and the Exponential Loss. AISTATS (2003)
Dean P. Foster, Robert A. Stine, Abraham J. Wyner
Universal codes for finite sequences of integers drawn from a monotone distribution. IEEE Trans. Inf. Theory 48 (6) (2002)
Abba Krieger, Chuan Long, Abraham J. Wyner
Boosting Noisy Data. ICML (2001)
Nir Friedman, Moisés Goldszmidt, Abraham J. Wyner
Data Analysis with Bayesian Networks: A Bootstrap Approach. UAI (1999)
Nir Friedman, Moisés Goldszmidt, Abraham J. Wyner
On the application of the bootstrap for computing confidence measures on features of induced Bayesian networks. AISTATS (1999)
Ioannis Kontoyiannis, Paul H. Algoet, Yuri M. Suhov, Abraham J. Wyner
Nonparametric Entropy Estimation for Stationary Processesand Random Fields, with Applications to English Text. IEEE Trans. Inf. Theory 44 (3) (1998)
Aaron D. Wyner, Jacob Ziv, Abraham J. Wyner
On the Role of Pattern Matching in Information Theory. IEEE Trans. Inf. Theory 44 (6) (1998)
Abraham J. Wyner
The redundancy and distribution of the phrase lengths of the fixed-database Lempel-Ziv algorithm. IEEE Trans. Inf. Theory 43 (5) (1997)
Aaron D. Wyner, Abraham J. Wyner
Improved redundancy of a version of the Lempel-Ziv algorithm. IEEE Trans. Inf. Theory 41 (3) (1995)