Amichai Painsky

47 papers A* 2B 7Journal 36Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Who is the Winning Algorithm? Rank Aggregation for Comparative Studies. CoRR Amichai Painsky
2025	J	`jnl`	Distribution Estimation under the Infinity Norm. J. Mach. Learn. Res. Aryeh Kontorovich, Amichai Painsky
2025	J	`jnl`	Near Optimal Inference for the Best-Performing Algorithm. CoRR Amichai Painsky
2024	J	`jnl`	A Comparative Analysis of Discrete Entropy Estimators for Large-Alphabet Problems. Entropy Assaf Pinchas, Irad Ben-Gal, Amichai Painsky
2024	J	`jnl`	Cross-validated tree-based models for multi-target learning. Frontiers Artif. Intell. Yehuda Nissenbaum, Amichai Painsky
2024	J	`jnl`	Distribution Estimation under the Infinity Norm. CoRR Aryeh Kontorovich, Amichai Painsky
2024	J	`jnl`	Neural Joint Entropy Estimation. IEEE Trans. Neural Networks Learn. Syst. Yuval Shalev, Amichai Painsky, Irad Ben-Gal
2023	J	`jnl`	Detecting Non-Overlapping Signals with Dynamic Programming. Entropy Mordechai Roth, Amichai Painsky, Tamir Bendory
2022	B	`conf`	A Data-driven Missing Mass Estimation Framework. ISIT Amichai Painsky
2022	J	`jnl`	Confidence Intervals for Unobserved Events. CoRR Amichai Painsky
2022	J	`jnl`	Convergence Guarantees for the Good-Turing Estimator. J. Mach. Learn. Res. Amichai Painsky
2022	J	`jnl`	Feature Importance in Gradient Boosting Trees with Cross-Validation Feature Selection. Entropy Afek Ilay Adler, Amichai Painsky
2021	J	`jnl`	Feature Importance in Gradient Boosting Trees with Cross-Validation Feature Selection. CoRR Afek Ilay Adler, Amichai Painsky
2021	B	`conf`	Refined Convergence Rates of the Good-Turing Estimator. ITW Amichai Painsky
2021	J	`jnl`	Robust Universal Inference. Entropy Amichai Painsky, Meir Feder
2020	J	`jnl`	Bregman Divergence Bounds and Universality Properties of the Logarithmic Loss. IEEE Trans. Inf. Theory Amichai Painsky, Gregory W. Wornell
2020	J	`jnl`	Innovation Representation of Stochastic Processes With Application to Causal Inference. IEEE Trans. Inf. Theory Amichai Painsky, Saharon Rosset, Meir Feder
2020	J	`jnl`	Neural Joint Entropy Estimation. CoRR Yuval Shalev, Amichai Painsky, Irad Ben-Gal
2020	J	`jnl`	Nonlinear Canonical Correlation Analysis: A Compressed Representation Approach. Entropy Amichai Painsky, Meir Feder, Naftali Tishby
2019	J	`jnl`	Lossless Compression of Random Forests. J. Comput. Sci. Technol. Amichai Painsky, Saharon Rosset
2018	J	`jnl`	An Information-Theoretic Framework for Non-linear Canonical Correlation Analysis. CoRR Amichai Painsky, Meir Feder, Naftali Tishby
2018	J	`jnl`	Bregman Divergence Bounds and the Universality of the Logarithmic Loss. CoRR Amichai Painsky, Gregory W. Wornell
2018	J	`jnl`	Generalized Independent Components Analysis Over Finite Alphabets. CoRR Amichai Painsky
2018	J	`jnl`	Innovation Representation of Stochastic Processes with Application to Causal Inference. CoRR Amichai Painsky, Saharon Rosset, Meir Feder
2018	J	`jnl`	Linear Independent Component Analysis Over Finite Fields: Algorithms and Bounds. IEEE Trans. Signal Process. Amichai Painsky, Saharon Rosset, Meir Feder
2018	J	`jnl`	Linear Independent Component Analysis over Finite Fields: Algorithms and Bounds. CoRR Amichai Painsky, Saharon Rosset, Meir Feder
2018	J	`jnl`	Lossless (and Lossy) Compression of Random Forests. CoRR Amichai Painsky, Saharon Rosset
2018	J	`jnl`	MSc Dissertation: Exclusive Row Biclustering for Gene Expression Using a Combinatorial Auction Approach. CoRR Amichai Painsky
2018	B	`conf`	On the Universality of the Logistic Loss Function. ISIT Amichai Painsky, Gregory W. Wornell
2018	J	`jnl`	On the Universality of the Logistic Loss Function. CoRR Amichai Painsky, Gregory W. Wornell
2017	J	`jnl`	Cross-Validated Variable Selection in Tree-Based Methods Improves Predictive Performance. IEEE Trans. Pattern Anal. Mach. Intell. Amichai Painsky, Saharon Rosset
2017	J	`jnl`	Gaussian Lower Bound for the Information Bottleneck Limit. CoRR Amichai Painsky, Naftali Tishby
2017	J	`jnl`	Gaussian Lower Bound for the Information Bottleneck Limit. J. Mach. Learn. Res. Amichai Painsky, Naftali Tishby
2017	J	`jnl`	Large Alphabet Source Coding Using Independent Component Analysis. IEEE Trans. Inf. Theory Amichai Painsky, Saharon Rosset, Meir Feder
2016	B	`conf`	A Simple and Efficient Approach for Adaptive Entropy Coding over Large Alphabets. DCC Amichai Painsky, Saharon Rosset, Meir Feder
2016	—	`conf`	Binary independent component analysis: Theory, bounds and algorithms. MLSP Amichai Painsky, Saharon Rosset, Meir Feder
2016	A*	`conf`	Compressing Random Forests. ICDM Amichai Painsky, Saharon Rosset
2016	J	`jnl`	Generalized Independent Component Analysis Over Finite Alphabets. IEEE Trans. Inf. Theory Amichai Painsky, Saharon Rosset, Meir Feder
2016	J	`jnl`	Isotonic Modeling with Non-Differentiable Loss Functions with Application to Lasso Regularization. IEEE Trans. Pattern Anal. Mach. Intell. Amichai Painsky, Saharon Rosset
2016	J	`jnl`	Large Alphabet Source Coding using Independent Component Analysis. CoRR Amichai Painsky, Saharon Rosset, Meir Feder
2015	J	`jnl`	Generalized Independent Component Analysis Over Finite Alphabets. CoRR Amichai Painsky, Saharon Rosset, Meir Feder
2015	B	`conf`	Universal Compression of Memoryless Sources over Large Alphabets via Independent Component Analysis. DCC Amichai Painsky, Saharon Rosset, Meir Feder
2014	B	`conf`	Generalized binary independent component analysis. ISIT Amichai Painsky, Saharon Rosset, Meir Feder
2014	J	`jnl`	Optimal Set Cover Formulation for Exclusive Row Biclustering of Gene Expression. J. Comput. Sci. Technol. Amichai Painsky, Saharon Rosset
2013	B	`conf`	Memoryless representation of Markov processes. ISIT Amichai Painsky, Saharon Rosset, Meir Feder
2012	A*	`conf`	Exclusive Row Biclustering for Gene Expression Using a Combinatorial Auction Approach. ICDM Amichai Painsky, Saharon Rosset
2010	—	`conf`	First Order Multiple Hypothesis Testing for the Global Nearest Neighbor Data Correlation Approach. GI Jahrestagung (2) Amichai Painsky