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2020 – today
- 2024
[j9]Ryan S. Brill
, Abraham J. Wyner, Ian J. Barnett:
Entropy-Based Strategies for Multi-Bracket Pools. Entropy 26(8): 615 (2024)- 2023
- [i5]Ryan S. Brill, Ian J. Barnett, Abraham J. Wyner:
Introducing the Multi-Brackets Problem. CoRR abs/2308.14339 (2023) - 2022
- [i4]Ryan S. Brill, Abraham J. Wyner:
Introducing Grid WAR: Rethinking WAR for Starting Pitchers. CoRR abs/2209.07274 (2022)
2010 – 2019
- 2018
- [c7]Matthew Olson, Abraham J. Wyner, Richard Berk:
Modern Neural Networks Generalize on Small Data Sets. NeurIPS 2018: 3623-3632 - [i3]Matthew Olson, Abraham J. Wyner:
Making Sense of Random Forest Probabilities: a Kernel Perspective. CoRR abs/1812.05792 (2018) - 2017
- [j8]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: 48:1-48:33 (2017) - 2015
- [i2]Abraham J. Wyner, Matthew Olson, Justin Bleich, David Mease:
Explaining the Success of AdaBoost and Random Forests as Interpolating Classifiers. CoRR abs/1504.07676 (2015) - 2013
- [i1]Nir Friedman, Moisés Goldszmidt, Abraham J. Wyner:
Data Analysis with Bayesian Networks: A Bootstrap Approach. CoRR abs/1301.6695 (2013) - 2012
- [c6]Justin K. Rising, Abraham J. Wyner:
Partial Kelly portfolios and shrinkage estimators. ISIT 2012: 1618-1622
2000 – 2009
- 2008
- [j7]David Mease, Abraham J. Wyner:
Evidence Contrary to the Statistical View of Boosting. J. Mach. Learn. Res. 9: 131-156 (2008) - 2007
- [j6]David Mease, Abraham J. Wyner, Andreas Buja:
Boosted Classification Trees and Class Probability/Quantile Estimation. J. Mach. Learn. Res. 8: 409-439 (2007) - 2005
- [c5]Cengiz Y. Belentepe, Abraham J. Wyner:
A statistical view of universal stock market portfolios. ISIT 2005: 573-577 - 2003
- [c4]Abraham J. Wyner:
On Boosting and the Exponential Loss. AISTATS 2003: 323-329 - 2002
- [j5]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): 1713-1720 (2002) - 2001
- [c3]Abba Krieger, Chuan Long, Abraham J. Wyner:
Boosting Noisy Data. ICML 2001: 274-281
1990 – 1999
- 1999
- [c2]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 - [c1]Nir Friedman, Moisés Goldszmidt, Abraham J. Wyner:
Data Analysis with Bayesian Networks: A Bootstrap Approach. UAI 1999: 196-205 - 1998
- [j4]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): 1319-1327 (1998) - [j3]Aaron D. Wyner, Jacob Ziv, Abraham J. Wyner:
On the Role of Pattern Matching in Information Theory. IEEE Trans. Inf. Theory 44(6): 2045-2056 (1998) - 1997
- [j2]Abraham J. Wyner:
The redundancy and distribution of the phrase lengths of the fixed-database Lempel-Ziv algorithm. IEEE Trans. Inf. Theory 43(5): 1452-1464 (1997) - 1995
- [j1]Aaron D. Wyner, Abraham J. Wyner:
Improved redundancy of a version of the Lempel-Ziv algorithm. IEEE Trans. Inf. Theory 41(3): 723-731 (1995)
Coauthor Index
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