Michal Moshkovitz

44 papers A* 9A 1B 5Journal 28Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Ternary Momentum For Quantized Training. Trans. Mach. Learn. Res. Noga Bar, Amit Attia, Michal Moshkovitz, Dotan Di Castro
2025	J	`jnl`	Additive Models Explained: A Computational Complexity Approach. CoRR Shahaf Bassan, Michal Moshkovitz, Guy Katz
2025	J	`jnl`	LLM4SFC: Sequential Function Chart Generation via Large Language Models. CoRR Ofek Glick, Vladimir Tchuiev, Marah Ghoummaid, Michal Moshkovitz, Dotan Di Castro
2025	—	`conf`	MATCH: Task-Driven Code Evaluation through Contrastive Learning. EMNLP (Findings) Marah Ghoummaid, Vladimir Tchuiev, Ofek Glick, Michal Moshkovitz, Dotan Di Castro
2025	J	`jnl`	MATCH: Task-Driven Code Evaluation through Contrastive Learning. CoRR Marah Ghoummaid, Vladimir Tchuiev, Ofek Glick, Michal Moshkovitz, Dotan Di Castro
2024	J	`jnl`	An Axiomatic Approach to Model-Agnostic Concept Explanations. CoRR Zhili Feng, Michal Moshkovitz, Dotan Di Castro, J. Zico Kolter
2024	J	`jnl`	Beyond Data Scarcity: A Frequency-Driven Framework for Zero-Shot Forecasting. CoRR Liran Nochumsohn, Michal Moshkovitz, Orly Avner, Dotan Di Castro, Omri Azencot
2024	J	`jnl`	Gradient-Free Neural Network Training on the Edge. CoRR Dotan Di Castro, Omkar Joglekar, Shir Kozlovsky, Vladimir Tchuiev, Michal Moshkovitz
2024	B	`conf`	Partially Interpretable Models with Guarantees on Coverage and Accuracy. ALT Nave Frost, Zachary C. Lipton, Yishay Mansour, Michal Moshkovitz
2024	A*	`conf`	Principal-Agent Reward Shaping in MDPs. AAAI Omer Ben-Porat, Yishay Mansour, Michal Moshkovitz, Boaz Taitler
2024	J	`jnl`	Principal-Agent Reward Shaping in MDPs. CoRR Omer Ben-Porat, Yishay Mansour, Michal Moshkovitz, Boaz Taitler
2024	J	`jnl`	XAudit : A Learning-Theoretic Look at Auditing with Explanations. Trans. Mach. Learn. Res. Chhavi Yadav, Michal Moshkovitz, Kamalika Chaudhuri
2023	A*	`conf`	Finding Safe Zones of Markov Decision Processes Policies. NeurIPS Lee Cohen, Yishay Mansour, Michal Moshkovitz
2023	B	`conf`	Online k-means Clustering on Arbitrary Data Streams. ALT Robi Bhattacharjee, Jacob Imola, Michal Moshkovitz, Sanjoy Dasgupta
2022	J	`jnl`	A Learning-Theoretic Framework for Certified Auditing of Machine Learning Models. CoRR Chhavi Yadav, Michal Moshkovitz, Kamalika Chaudhuri
2022	J	`jnl`	Finding Safe Zones of policies Markov Decision Processes. CoRR Lee Cohen, Yishay Mansour, Michal Moshkovitz
2022	A*	`conf`	Framework for Evaluating Faithfulness of Local Explanations. ICML Sanjoy Dasgupta, Nave Frost, Michal Moshkovitz
2022	J	`jnl`	Framework for Evaluating Faithfulness of Local Explanations. CoRR Sanjoy Dasgupta, Nave Frost, Michal Moshkovitz
2022	J	`jnl`	There is no Accuracy-Interpretability Tradeoff in Reinforcement Learning for Mazes. CoRR Yishay Mansour, Michal Moshkovitz, Cynthia Rudin
2021	J	`jnl`	A Constant Approximation Algorithm for Sequential No-Substitution k-Median Clustering under a Random Arrival Order. CoRR Tom Hess, Michal Moshkovitz, Sivan Sabato
2021	A*	`conf`	A Constant Approximation Algorithm for Sequential Random-Order No-Substitution k-Median Clustering. NeurIPS Tom Hess, Michal Moshkovitz, Sivan Sabato
2021	A*	`conf`	Bounded Memory Active Learning through Enriched Queries. COLT Max Hopkins, Daniel Kane, Shachar Lovett, Michal Moshkovitz
2021	J	`jnl`	Bounded Memory Active Learning through Enriched Queries. CoRR Max Hopkins, Daniel Kane, Shachar Lovett, Michal Moshkovitz
2021	A*	`conf`	Connecting Interpretability and Robustness in Decision Trees through Separation. ICML Michal Moshkovitz, Yao-Yuan Yang, Kamalika Chaudhuri
2021	J	`jnl`	Connecting Interpretability and Robustness in Decision Trees through Separation. CoRR Michal Moshkovitz, Yao-Yuan Yang, Kamalika Chaudhuri
2021	B	`conf`	No-substitution k-means Clustering with Adversarial Order. ALT Robi Bhattacharjee, Michal Moshkovitz
2021	B	`conf`	Unexpected Effects of Online no-Substitution k-means Clustering. ALT Michal Moshkovitz
2020	J	`jnl`	ExKMC: Expanding Explainable k-Means Clustering. CoRR Nave Frost, Michal Moshkovitz, Cyrus Rashtchian
2020	A*	`conf`	Explainable k-Means and k-Medians Clustering. ICML Michal Moshkovitz, Sanjoy Dasgupta, Cyrus Rashtchian, Nave Frost
2020	J	`jnl`	Explainable k-Means and k-Medians Clustering. CoRR Sanjoy Dasgupta, Nave Frost, Michal Moshkovitz, Cyrus Rashtchian
2020	J	`jnl`	No-substitution k-means Clustering with Adversarial Order. CoRR Robi Bhattacharjee, Michal Moshkovitz
2020	A*	`conf`	Towards a Combinatorial Characterization of Bounded-Memory Learning. NeurIPS Alon Gonen, Shachar Lovett, Michal Moshkovitz
2020	J	`jnl`	Towards a combinatorial characterization of bounded memory learning. CoRR Alon Gonen, Shachar Lovett, Michal Moshkovitz
2019	J	`jnl`	Novel Uncertainty Framework for Deep Learning Ensembles. CoRR Tal Kachman, Michal Moshkovitz, Michal Rosen-Zvi
2019	J	`jnl`	Unexpected Effects of Online K-means Clustering. CoRR Michal Moshkovitz
2018	A	`conf`	Entropy Samplers and Strong Generic Lower Bounds For Space Bounded Learning. ITCS Dana Moshkovitz, Michal Moshkovitz
2017	J	`jnl`	A General Memory-Bounded Learning Algorithm. CoRR Michal Moshkovitz, Naftali Tishby
2017	J	`jnl`	Mixing Complexity and its Applications to Neural Networks. CoRR Michal Moshkovitz, Naftali Tishby
2017	A*	`conf`	Mixing Implies Lower Bounds for Space Bounded Learning. COLT Dana Moshkovitz, Michal Moshkovitz
2017	J	`jnl`	Mixing Implies Lower Bounds for Space Bounded Learning. Electron. Colloquium Comput. Complex. Michal Moshkovitz, Dana Moshkovitz
2017	J	`jnl`	Mixing Implies Strong Lower Bounds for Space Bounded Learning. Electron. Colloquium Comput. Complex. Michal Moshkovitz, Dana Moshkovitz
2016	J	`jnl`	Principled Option Learning in Markov Decision Processes. CoRR Roy Fox, Michal Moshkovitz, Naftali Tishby
2014	B	`conf`	Control your information for better predictions. ISIT Michal Moshkovitz, Naftali Tishby
2010	J	`jnl`	Distance Estimators with Sublogarithmic Number of Queries. Electron. Colloquium Comput. Complex. Michal Moshkovitz