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Amichai Painsky
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2020 – today
- 2024
- [j18]Assaf Pinchas, Irad Ben-Gal, Amichai Painsky:
A Comparative Analysis of Discrete Entropy Estimators for Large-Alphabet Problems. Entropy 26(5): 369 (2024) - [j17]Yehuda Nissenbaum, Amichai Painsky:
Cross-validated tree-based models for multi-target learning. Frontiers Artif. Intell. 7 (2024) - [j16]Yuval Shalev, Amichai Painsky, Irad Ben-Gal:
Neural Joint Entropy Estimation. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5488-5500 (2024) - [i15]Aryeh Kontorovich, Amichai Painsky:
Distribution Estimation under the Infinity Norm. CoRR abs/2402.08422 (2024) - 2023
- [j15]Mordechai Roth, Amichai Painsky, Tamir Bendory:
Detecting Non-Overlapping Signals with Dynamic Programming. Entropy 25(2): 250 (2023) - 2022
- [j14]Afek Ilay Adler, Amichai Painsky:
Feature Importance in Gradient Boosting Trees with Cross-Validation Feature Selection. Entropy 24(5): 687 (2022) - [j13]Amichai Painsky:
Convergence Guarantees for the Good-Turing Estimator. J. Mach. Learn. Res. 23: 279:1-279:37 (2022) - [c11]Amichai Painsky:
A Data-driven Missing Mass Estimation Framework. ISIT 2022: 2991-2995 - [i14]Amichai Painsky:
Confidence Intervals for Unobserved Events. CoRR abs/2211.03052 (2022) - 2021
- [j12]Amichai Painsky, Meir Feder:
Robust Universal Inference. Entropy 23(6): 773 (2021) - [c10]Amichai Painsky:
Refined Convergence Rates of the Good-Turing Estimator. ITW 2021: 1-5 - [i13]Afek Ilay Adler, Amichai Painsky:
Feature Importance in Gradient Boosting Trees with Cross-Validation Feature Selection. CoRR abs/2109.05468 (2021) - 2020
- [j11]Amichai Painsky, Meir Feder, Naftali Tishby:
Nonlinear Canonical Correlation Analysis: A Compressed Representation Approach. Entropy 22(2): 208 (2020) - [j10]Amichai Painsky, Saharon Rosset, Meir Feder:
Innovation Representation of Stochastic Processes With Application to Causal Inference. IEEE Trans. Inf. Theory 66(2): 1136-1154 (2020) - [j9]Amichai Painsky, Gregory W. Wornell:
Bregman Divergence Bounds and Universality Properties of the Logarithmic Loss. IEEE Trans. Inf. Theory 66(3): 1658-1673 (2020) - [i12]Yuval Shalev, Amichai Painsky, Irad Ben-Gal:
Neural Joint Entropy Estimation. CoRR abs/2012.11197 (2020)
2010 – 2019
- 2019
- [j8]Amichai Painsky, Saharon Rosset:
Lossless Compression of Random Forests. J. Comput. Sci. Technol. 34(2): 494-506 (2019) - 2018
- [j7]Amichai Painsky, Saharon Rosset, Meir Feder:
Linear Independent Component Analysis Over Finite Fields: Algorithms and Bounds. IEEE Trans. Signal Process. 66(22): 5875-5886 (2018) - [c9]Amichai Painsky, Gregory W. Wornell:
On the Universality of the Logistic Loss Function. ISIT 2018: 936-940 - [i11]Amichai Painsky, Gregory W. Wornell:
On the Universality of the Logistic Loss Function. CoRR abs/1805.03804 (2018) - [i10]Amichai Painsky:
Generalized Independent Components Analysis Over Finite Alphabets. CoRR abs/1809.05043 (2018) - [i9]Amichai Painsky:
MSc Dissertation: Exclusive Row Biclustering for Gene Expression Using a Combinatorial Auction Approach. CoRR abs/1809.05077 (2018) - [i8]Amichai Painsky, Saharon Rosset, Meir Feder:
Linear Independent Component Analysis over Finite Fields: Algorithms and Bounds. CoRR abs/1809.05815 (2018) - [i7]Amichai Painsky, Gregory W. Wornell:
Bregman Divergence Bounds and the Universality of the Logarithmic Loss. CoRR abs/1810.07014 (2018) - [i6]Amichai Painsky, Saharon Rosset:
Lossless (and Lossy) Compression of Random Forests. CoRR abs/1810.11197 (2018) - [i5]Amichai Painsky, Meir Feder, Naftali Tishby:
An Information-Theoretic Framework for Non-linear Canonical Correlation Analysis. CoRR abs/1810.13259 (2018) - [i4]Amichai Painsky, Saharon Rosset, Meir Feder:
Innovation Representation of Stochastic Processes with Application to Causal Inference. CoRR abs/1811.10071 (2018) - 2017
- [j6]Amichai Painsky, Naftali Tishby:
Gaussian Lower Bound for the Information Bottleneck Limit. J. Mach. Learn. Res. 18: 213:1-213:29 (2017) - [j5]Amichai Painsky, Saharon Rosset:
Cross-Validated Variable Selection in Tree-Based Methods Improves Predictive Performance. IEEE Trans. Pattern Anal. Mach. Intell. 39(11): 2142-2153 (2017) - [j4]Amichai Painsky, Saharon Rosset, Meir Feder:
Large Alphabet Source Coding Using Independent Component Analysis. IEEE Trans. Inf. Theory 63(10): 6514-6529 (2017) - [i3]Amichai Painsky, Naftali Tishby:
Gaussian Lower Bound for the Information Bottleneck Limit. CoRR abs/1711.02421 (2017) - 2016
- [j3]Amichai Painsky, Saharon Rosset:
Isotonic Modeling with Non-Differentiable Loss Functions with Application to Lasso Regularization. IEEE Trans. Pattern Anal. Mach. Intell. 38(2): 308-321 (2016) - [j2]Amichai Painsky, Saharon Rosset, Meir Feder:
Generalized Independent Component Analysis Over Finite Alphabets. IEEE Trans. Inf. Theory 62(2): 1038-1053 (2016) - [c8]Amichai Painsky, Saharon Rosset, Meir Feder:
A Simple and Efficient Approach for Adaptive Entropy Coding over Large Alphabets. DCC 2016: 369-378 - [c7]Amichai Painsky, Saharon Rosset:
Compressing Random Forests. ICDM 2016: 1131-1136 - [c6]Amichai Painsky, Saharon Rosset, Meir Feder:
Binary independent component analysis: Theory, bounds and algorithms. MLSP 2016: 1-6 - [i2]Amichai Painsky, Saharon Rosset, Meir Feder:
Large Alphabet Source Coding using Independent Component Analysis. CoRR abs/1607.07003 (2016) - 2015
- [c5]Amichai Painsky, Saharon Rosset, Meir Feder:
Universal Compression of Memoryless Sources over Large Alphabets via Independent Component Analysis. DCC 2015: 213-222 - [i1]Amichai Painsky, Saharon Rosset, Meir Feder:
Generalized Independent Component Analysis Over Finite Alphabets. CoRR abs/1508.04934 (2015) - 2014
- [j1]Amichai Painsky, Saharon Rosset:
Optimal Set Cover Formulation for Exclusive Row Biclustering of Gene Expression. J. Comput. Sci. Technol. 29(3): 423-435 (2014) - [c4]Amichai Painsky, Saharon Rosset, Meir Feder:
Generalized binary independent component analysis. ISIT 2014: 1326-1330 - 2013
- [c3]Amichai Painsky, Saharon Rosset, Meir Feder:
Memoryless representation of Markov processes. ISIT 2013: 2294-2298 - 2012
- [c2]Amichai Painsky, Saharon Rosset:
Exclusive Row Biclustering for Gene Expression Using a Combinatorial Auction Approach. ICDM 2012: 1056-1061 - 2010
- [c1]Amichai Painsky:
First Order Multiple Hypothesis Testing for the Global Nearest Neighbor Data Correlation Approach. GI Jahrestagung (2) 2010: 773-784
Coauthor Index
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last updated on 2024-09-13 01:42 CEST by the dblp team
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