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Connecting Interpretability and Robustness in Decision Trees through Separation


Feb 14, 2021
Michal Moshkovitz, Yao-Yuan Yang, Kamalika Chaudhuri


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Bounded Memory Active Learning through Enriched Queries


Feb 09, 2021
Max Hopkins, Daniel Kane, Shachar Lovett, Michal Moshkovitz


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A Constant Approximation Algorithm for Sequential No-Substitution k-Median Clustering under a Random Arrival Order


Feb 08, 2021
Tom Hess, Michal Moshkovitz, Sivan Sabato


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No-substitution k-means Clustering with Adversarial Order


Dec 28, 2020
Robi Bhattacharjee, Michal Moshkovitz

* accepted to ALT 2021 

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ExKMC: Expanding Explainable $k$-Means Clustering


Jun 03, 2020
Nave Frost, Michal Moshkovitz, Cyrus Rashtchian


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Explainable $k$-Means and $k$-Medians Clustering


Feb 28, 2020
Sanjoy Dasgupta, Nave Frost, Michal Moshkovitz, Cyrus Rashtchian


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Towards a combinatorial characterization of bounded memory learning


Feb 08, 2020
Alon Gonen, Shachar Lovett, Michal Moshkovitz


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Unexpected Effects of Online K-means Clustering


Aug 09, 2019
Michal Moshkovitz


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Novel Uncertainty Framework for Deep Learning Ensembles


Apr 09, 2019
Tal Kachman, Michal Moshkovitz, Michal Rosen-Zvi


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A General Memory-Bounded Learning Algorithm


Dec 10, 2017
Michal Moshkovitz, Naftali Tishby


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Principled Option Learning in Markov Decision Processes


Mar 30, 2017
Roy Fox, Michal Moshkovitz, Naftali Tishby

* 13th European Workshop on Reinforcement Learning (EWRL 2016) 

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Mixing Complexity and its Applications to Neural Networks


Mar 02, 2017
Michal Moshkovitz, Naftali Tishby


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