Follow
Amichai Painsky
Title
Cited by
Cited by
Year
Apparatus and Method for Analyzing Driving Performance Data
A Freiberger, D Izhaky, A Painsky, A Shamir, Z Bendet, O Steinberg, ...
US Patent App. 13/972,134, 2014
2782014
Apparatus and Method for Detecting Driving Performance Data
O Steinberg, A Tamir, A Freiberger, D Izhaky, A Painsky, D Aviv, P Bachar
US Patent App. 13/964,568, 2014
1632014
Cross-validated variable selection in tree-based methods improves predictive performance
A Painsky, S Rosset
IEEE transactions on pattern analysis and machine intelligence 39 (11), 2142 …, 2016
762016
On the universality of the logistic loss function
A Painsky, G Wornell
2018 IEEE International Symposium on Information Theory (ISIT), 936-940, 2018
482018
Feature importance in gradient boosting trees with cross-validation feature selection
AI Adler, A Painsky
Entropy 24 (5), 687, 2022
372022
Generalized independent component analysis over finite alphabets
A Painsky, S Rosset, M Feder
IEEE Transactions on Information Theory 62 (2), 1038-1053, 2016
342016
Bregman divergence bounds and universality properties of the logarithmic loss
A Painsky, GW Wornell
IEEE Transactions on Information Theory 66 (3), 1658-1673, 2019
33*2019
Low rank approximation of binary matrices: Column subset selection and generalizations
C Dan, KA Hansen, H Jiang, L Wang, Y Zhou
arXiv preprint arXiv:1511.01699, 2015
262015
Safety of the fourth COVID-19 BNT162b2 mRNA (second booster) vaccine: a prospective and retrospective cohort study
M Yechezkel, M Mofaz, A Painsky, T Patalon, S Gazit, E Shmueli, D Yamin
The Lancet Respiratory Medicine 11 (2), 139-150, 2023
202023
Linear independent component analysis over finite fields: Algorithms and bounds
A Painsky, S Rosset, M Feder
IEEE Transactions on Signal Processing 66 (22), 5875-5886, 2018
182018
Gaussian lower bound for the information bottleneck limit
A Painsky, N Tishby
Journal of Machine Learning Research 18 (213), 1-29, 2018
172018
On extending neural networks with loss ensembles for text classification
H Hajiabadi, D Molla-Aliod, R Monsefi
arXiv preprint arXiv:1711.05170, 2017
162017
Lossless compression of random forests
A Painsky, S Rosset
Journal of Computer Science and Technology 34, 494-506, 2019
152019
Generalized binary independent component analysis
A Painsky, S Rosset, M Feder
Information Theory (ISIT), 2014 IEEE International Symposium on, 1326-1330, 2014
152014
Nonlinear canonical correlation analysis: A compressed representation approach
A Painsky, M Feder, N Tishby
Entropy 22 (2), 208, 2020
14*2020
Representation compression and generalization in deep neural networks
R Shwartz-Ziv, A Painsky, N Tishby
142018
Data fusion in high computational load environments
A Painsky
US Patent 8,805,648, 2014
142014
Optimal and maximin procedures for multiple testing problems
S Rosset, R Heller, A Painsky, E Aharoni
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2022
12*2022
Large alphabet source coding using independent component analysis
A Painsky, S Rosset, M Feder
IEEE Transactions on Information Theory 63 (10), 6514-6529, 2017
122017
Compressing random forests
A Painsky, S Rosset
2016 IEEE 16th International Conference on Data Mining (ICDM), 1131-1136, 2016
12*2016
The system can't perform the operation now. Try again later.
Articles 1–20