Michal Moshkovitz

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 35

Top Topics

Active Learning

Markov Decision Process

Top Venues

Publications

Zhili Feng, Michal Moshkovitz, Dotan Di Castro, J. Zico Kolter
An Axiomatic Approach to Model-Agnostic Concept Explanations. CoRR (2024)
Omer Ben-Porat, Yishay Mansour, Michal Moshkovitz, Boaz Taitler
Principal-Agent Reward Shaping in MDPs. CoRR (2024)
Omer Ben-Porat, Yishay Mansour, Michal Moshkovitz, Boaz Taitler
Principal-Agent Reward Shaping in MDPs. AAAI (2024)
Chhavi Yadav, Michal Moshkovitz, Kamalika Chaudhuri
XAudit : A Learning-Theoretic Look at Auditing with Explanations. Trans. Mach. Learn. Res. 2024 (2024)
Nave Frost, Zachary C. Lipton, Yishay Mansour, Michal Moshkovitz
Partially Interpretable Models with Guarantees on Coverage and Accuracy. ALT (2024)
Robi Bhattacharjee, Jacob Imola, Michal Moshkovitz, Sanjoy Dasgupta
Online k-means Clustering on Arbitrary Data Streams. ALT (2023)
Lee Cohen, Yishay Mansour, Michal Moshkovitz
Finding Safe Zones of Markov Decision Processes Policies. NeurIPS (2023)
Sanjoy Dasgupta, Nave Frost, Michal Moshkovitz
Framework for Evaluating Faithfulness of Local Explanations. CoRR (2022)
Sanjoy Dasgupta, Nave Frost, Michal Moshkovitz
Framework for Evaluating Faithfulness of Local Explanations. ICML (2022)
Chhavi Yadav, Michal Moshkovitz, Kamalika Chaudhuri
A Learning-Theoretic Framework for Certified Auditing of Machine Learning Models. CoRR (2022)
Yishay Mansour, Michal Moshkovitz, Cynthia Rudin
There is no Accuracy-Interpretability Tradeoff in Reinforcement Learning for Mazes. CoRR (2022)
Lee Cohen, Yishay Mansour, Michal Moshkovitz
Finding Safe Zones of policies Markov Decision Processes. CoRR (2022)
Michal Moshkovitz, Yao-Yuan Yang, Kamalika Chaudhuri
Connecting Interpretability and Robustness in Decision Trees through Separation. CoRR (2021)
Tom Hess, Michal Moshkovitz, Sivan Sabato
A Constant Approximation Algorithm for Sequential Random-Order No-Substitution k-Median Clustering. NeurIPS (2021)
Max Hopkins, Daniel Kane, Shachar Lovett, Michal Moshkovitz
Bounded Memory Active Learning through Enriched Queries. COLT (2021)
Tom Hess, Michal Moshkovitz, Sivan Sabato
A Constant Approximation Algorithm for Sequential No-Substitution k-Median Clustering under a Random Arrival Order. CoRR (2021)
Michal Moshkovitz
Unexpected Effects of Online no-Substitution k-means Clustering. ALT (2021)
Max Hopkins, Daniel Kane, Shachar Lovett, Michal Moshkovitz
Bounded Memory Active Learning through Enriched Queries. CoRR (2021)
Michal Moshkovitz, Yao-Yuan Yang, Kamalika Chaudhuri
Connecting Interpretability and Robustness in Decision Trees through Separation. ICML (2021)
Robi Bhattacharjee, Michal Moshkovitz
No-substitution k-means Clustering with Adversarial Order. ALT (2021)
Sanjoy Dasgupta, Nave Frost, Michal Moshkovitz, Cyrus Rashtchian
Explainable k-Means and k-Medians Clustering. CoRR (2020)
Alon Gonen, Shachar Lovett, Michal Moshkovitz
Towards a combinatorial characterization of bounded memory learning. CoRR (2020)
Michal Moshkovitz, Sanjoy Dasgupta, Cyrus Rashtchian, Nave Frost
Explainable k-Means and k-Medians Clustering. ICML (2020)
Robi Bhattacharjee, Michal Moshkovitz
No-substitution k-means Clustering with Adversarial Order. CoRR (2020)
Alon Gonen, Shachar Lovett, Michal Moshkovitz
Towards a Combinatorial Characterization of Bounded-Memory Learning. NeurIPS (2020)
Nave Frost, Michal Moshkovitz, Cyrus Rashtchian
ExKMC: Expanding Explainable k-Means Clustering. CoRR (2020)
Tal Kachman, Michal Moshkovitz, Michal Rosen-Zvi
Novel Uncertainty Framework for Deep Learning Ensembles. CoRR (2019)
Michal Moshkovitz
Unexpected Effects of Online K-means Clustering. CoRR (2019)
Dana Moshkovitz, Michal Moshkovitz
Entropy Samplers and Strong Generic Lower Bounds For Space Bounded Learning. ITCS (2018)
Michal Moshkovitz, Dana Moshkovitz
Mixing Implies Lower Bounds for Space Bounded Learning. Electron. Colloquium Comput. Complex. 24 (2017)
Michal Moshkovitz, Dana Moshkovitz
Mixing Implies Strong Lower Bounds for Space Bounded Learning. Electron. Colloquium Comput. Complex. 24 (2017)
Michal Moshkovitz, Naftali Tishby
Mixing Complexity and its Applications to Neural Networks. CoRR (2017)
Dana Moshkovitz, Michal Moshkovitz
Mixing Implies Lower Bounds for Space Bounded Learning. COLT (2017)
Michal Moshkovitz, Naftali Tishby
A General Memory-Bounded Learning Algorithm. CoRR (2017)
Roy Fox, Michal Moshkovitz, Naftali Tishby
Principled Option Learning in Markov Decision Processes. CoRR (2016)
Michal Moshkovitz, Naftali Tishby
Control your information for better predictions. ISIT (2014)
Michal Moshkovitz
Distance Estimators with Sublogarithmic Number of Queries. Electron. Colloquium Comput. Complex. 17 (2010)