Amichai Painsky

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 39

Top Topics

Independent Component Analysis

Feature Importance

Top Venues

IEEE Trans. Inf. Theory

Publications

Aryeh Kontorovich, Amichai Painsky
Distribution Estimation under the Infinity Norm. CoRR (2024)
Assaf Pinchas, Irad Ben-Gal, Amichai Painsky
A Comparative Analysis of Discrete Entropy Estimators for Large-Alphabet Problems. Entropy 26 (5) (2024)
Yuval Shalev, Amichai Painsky, Irad Ben-Gal
Neural Joint Entropy Estimation. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Yehuda Nissenbaum, Amichai Painsky
Cross-validated tree-based models for multi-target learning. Frontiers Artif. Intell. 7 (2024)
Mordechai Roth, Amichai Painsky, Tamir Bendory
Detecting Non-Overlapping Signals with Dynamic Programming. Entropy 25 (2) (2023)
Amichai Painsky
A Data-driven Missing Mass Estimation Framework. ISIT (2022)
Amichai Painsky
Confidence Intervals for Unobserved Events. CoRR (2022)
Afek Ilay Adler, Amichai Painsky
Feature Importance in Gradient Boosting Trees with Cross-Validation Feature Selection. Entropy 24 (5) (2022)
Amichai Painsky
Convergence Guarantees for the Good-Turing Estimator. J. Mach. Learn. Res. 23 (2022)
Afek Ilay Adler, Amichai Painsky
Feature Importance in Gradient Boosting Trees with Cross-Validation Feature Selection. CoRR (2021)
Amichai Painsky, Meir Feder
Robust Universal Inference. Entropy 23 (6) (2021)
Amichai Painsky
Refined Convergence Rates of the Good-Turing Estimator. ITW (2021)
Amichai Painsky, Saharon Rosset, Meir Feder
Innovation Representation of Stochastic Processes With Application to Causal Inference. IEEE Trans. Inf. Theory 66 (2) (2020)
Amichai Painsky, Gregory W. Wornell
Bregman Divergence Bounds and Universality Properties of the Logarithmic Loss. IEEE Trans. Inf. Theory 66 (3) (2020)
Amichai Painsky, Meir Feder, Naftali Tishby
Nonlinear Canonical Correlation Analysis: A Compressed Representation Approach. Entropy 22 (2) (2020)
Yuval Shalev, Amichai Painsky, Irad Ben-Gal
Neural Joint Entropy Estimation. CoRR (2020)
Amichai Painsky, Saharon Rosset
Lossless Compression of Random Forests. J. Comput. Sci. Technol. 34 (2) (2019)
Amichai Painsky, Gregory W. Wornell
On the Universality of the Logistic Loss Function. ISIT (2018)
Amichai Painsky, Saharon Rosset, Meir Feder
Innovation Representation of Stochastic Processes with Application to Causal Inference. CoRR (2018)
Amichai Painsky
Generalized Independent Components Analysis Over Finite Alphabets. CoRR (2018)
Amichai Painsky, Meir Feder, Naftali Tishby
An Information-Theoretic Framework for Non-linear Canonical Correlation Analysis. CoRR (2018)
Amichai Painsky, Gregory W. Wornell
On the Universality of the Logistic Loss Function. CoRR (2018)
Amichai Painsky, Saharon Rosset, Meir Feder
Linear Independent Component Analysis Over Finite Fields: Algorithms and Bounds. IEEE Trans. Signal Process. 66 (22) (2018)
Amichai Painsky, Saharon Rosset, Meir Feder
Linear Independent Component Analysis over Finite Fields: Algorithms and Bounds. CoRR (2018)
Amichai Painsky, Gregory W. Wornell
Bregman Divergence Bounds and the Universality of the Logarithmic Loss. CoRR (2018)
Amichai Painsky, Saharon Rosset
Lossless (and Lossy) Compression of Random Forests. CoRR (2018)
Amichai Painsky
MSc Dissertation: Exclusive Row Biclustering for Gene Expression Using a Combinatorial Auction Approach. CoRR (2018)
Amichai Painsky, Naftali Tishby
Gaussian Lower Bound for the Information Bottleneck Limit. CoRR (2017)
Amichai Painsky, Saharon Rosset
Cross-Validated Variable Selection in Tree-Based Methods Improves Predictive Performance. IEEE Trans. Pattern Anal. Mach. Intell. 39 (11) (2017)
Amichai Painsky, Saharon Rosset, Meir Feder
Large Alphabet Source Coding Using Independent Component Analysis. IEEE Trans. Inf. Theory 63 (10) (2017)
Amichai Painsky, Naftali Tishby
Gaussian Lower Bound for the Information Bottleneck Limit. J. Mach. Learn. Res. 18 (2017)
Amichai Painsky, Saharon Rosset, Meir Feder
Generalized Independent Component Analysis Over Finite Alphabets. IEEE Trans. Inf. Theory 62 (2) (2016)
Amichai Painsky, Saharon Rosset
Compressing Random Forests. ICDM (2016)
Amichai Painsky, Saharon Rosset, Meir Feder
Large Alphabet Source Coding using Independent Component Analysis. CoRR (2016)
Amichai Painsky, Saharon Rosset, Meir Feder
Binary independent component analysis: Theory, bounds and algorithms. MLSP (2016)
Amichai Painsky, Saharon Rosset
Isotonic Modeling with Non-Differentiable Loss Functions with Application to Lasso Regularization. IEEE Trans. Pattern Anal. Mach. Intell. 38 (2) (2016)
Amichai Painsky, Saharon Rosset, Meir Feder
A Simple and Efficient Approach for Adaptive Entropy Coding over Large Alphabets. DCC (2016)
Amichai Painsky, Saharon Rosset, Meir Feder
Universal Compression of Memoryless Sources over Large Alphabets via Independent Component Analysis. DCC (2015)
Amichai Painsky, Saharon Rosset, Meir Feder
Generalized Independent Component Analysis Over Finite Alphabets. CoRR (2015)
Amichai Painsky, Saharon Rosset
Optimal Set Cover Formulation for Exclusive Row Biclustering of Gene Expression. J. Comput. Sci. Technol. 29 (3) (2014)
Amichai Painsky, Saharon Rosset, Meir Feder
Generalized binary independent component analysis. ISIT (2014)
Amichai Painsky, Saharon Rosset, Meir Feder
Memoryless representation of Markov processes. ISIT (2013)
Amichai Painsky, Saharon Rosset
Exclusive Row Biclustering for Gene Expression Using a Combinatorial Auction Approach. ICDM (2012)
Amichai Painsky
First Order Multiple Hypothesis Testing for the Global Nearest Neighbor Data Correlation Approach. GI Jahrestagung (2) (2010)