Yuval Moskovitch

49 papers A* 9A 2B 1Journal 27Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A universal LLM Framework for General Query Refinements. CoRR Eldar Hacohen, Yuval Moskovitch, Amit Somech
2026	J	`jnl`	Local Stability of Rankings. CoRR Felix S. Campbell, Yuval Moskovitch
2025	J	`jnl`	Causal Explanations for Disparate Trends: Where and Why? CoRR Tal Blau, Brit Youngmann, Anna Fariha, Yuval Moskovitch
2025	—	`conf`	Locator: Local Stability for Rankings. SIGMOD Conference Companion Felix S. Campbell, Yuval Moskovitch
2025	—	`conf`	OmniTune: A Universal Framework for Query Refinement via LLMs. SIGMOD Conference Companion Eldar Hacohen, Yuval Moskovitch, Amit Somech
2024	J	`jnl`	Query Refinement for Diverse Top-k Selection. CoRR Felix S. Campbell, Alon Silberstein, Julia Stoyanovich, Yuval Moskovitch
2024	J	`jnl`	Query Refinement for Diverse Top-k Selection. Proc. ACM Manag. Data Felix S. Campbell, Alon Silberstein, Julia Stoyanovich, Yuval Moskovitch
2024	J	`jnl`	Rodeo: Making Refinements for Diverse Top-k Queries. Proc. VLDB Endow. Felix S. Campbell, Julia Stoyanovich, Yuval Moskovitch
2023	A*	`conf`	Detection of Groups with Biased Representation in Ranking. ICDE Jinyang Li, Yuval Moskovitch, H. V. Jagadish
2023	J	`jnl`	Detection of Groups with Biased Representation in Ranking. CoRR Yuval Moskovitch, Jinyang Li, H. V. Jagadish
2023	—	`conf`	Dexer: Detecting and Explaining Biased Representation in Ranking. SIGMOD Conference Companion Yuval Moskovitch, Jinyang Li, H. V. Jagadish
2023	J	`jnl`	ERICA: Query Refinement for Diversity Constraint Satisfaction. Proc. VLDB Endow. Jinyang Li, Alon Silberstein, Yuval Moskovitch, Julia Stoyanovich, H. V. Jagadish
2023	—	`conf`	NEXUS: On Explaining Confounding Bias. SIGMOD Conference Companion Brit Youngmann, Michael J. Cafarella, Yuval Moskovitch, Babak Salimi
2023	A*	`conf`	On Explaining Confounding Bias. ICDE Brit Youngmann, Michael J. Cafarella, Yuval Moskovitch, Babak Salimi
2023	J	`jnl`	Query Refinement for Diversity Constraint Satisfaction. Proc. VLDB Endow. Jinyang Li, Yuval Moskovitch, Julia Stoyanovich, H. V. Jagadish
2022	—	`conf`	Bias analysis and mitigation in data-driven tools using provenance. TaPP Yuval Moskovitch, Jinyang Li, H. V. Jagadish
2022	J	`jnl`	OREO: Detection of Cherry-picked Generalizations. Proc. VLDB Endow. Yin Lin, Brit Youngmann, Yuval Moskovitch, H. V. Jagadish, Tova Milo
2022	J	`jnl`	On Explaining Confounding Bias. CoRR Brit Youngmann, Michael J. Cafarella, Yuval Moskovitch, Babak Salimi
2022	J	`jnl`	Reliability at multiple stages in a data analysis pipeline. Commun. ACM Yuval Moskovitch, H. V. Jagadish
2021	J	`jnl`	DENOUNCER: Detection of Unfairness in Classifiers. Proc. VLDB Endow. Jinyang Li, Yuval Moskovitch, H. V. Jagadish
2021	J	`jnl`	On Detecting Cherry-picked Generalizations. Proc. VLDB Endow. Yin Lin, Brit Youngmann, Yuval Moskovitch, H. V. Jagadish, Tova Milo
2021	—	`conf`	On Optimizing the Trade-off between Privacy and Utility in Data Provenance. SIGMOD Conference Daniel Deutch, Ariel Frankenthal, Amir Gilad, Yuval Moskovitch
2021	J	`jnl`	On Optimizing the Trade-off between Privacy and Utility in Data Provenance. CoRR Daniel Deutch, Ariel Frankenthal, Amir Gilad, Yuval Moskovitch
2021	A*	`conf`	PITA: Privacy Through Provenance Abstraction. ICDE Daniel Deutch, Ariel Frankenthal, Amir Gilad, Yuval Moskovitch
2021	A*	`conf`	Patterns Count-Based Labels for Datasets. ICDE Yuval Moskovitch, H. V. Jagadish
2020	J	`jnl`	COBRA: Compression via Abstraction of Provenance for Hypothetical Reasoning. CoRR Daniel Deutch, Yuval Moskovitch, Noam Rinetzky
2020	J	`jnl`	COUNTATA: Dataset Labeling Using Pattern Counts. Proc. VLDB Endow. Yuval Moskovitch, H. V. Jagadish
2020	A*	`conf`	Contribution Maximization in Probabilistic Datalog. ICDE Tova Milo, Yuval Moskovitch, Brit Youngmann
2020	—	`conf`	Equivalence-Invariant Algebraic Provenance for Hyperplane Update Queries. SIGMOD Conference Pierre Bourhis, Daniel Deutch, Yuval Moskovitch
2020	J	`jnl`	Equivalence-Invariant Algebraic Provenance for Hyperplane Update Queries. CoRR Pierre Bourhis, Daniel Deutch, Yuval Moskovitch
2020	J	`jnl`	Hypothetical Reasoning via Provenance Abstraction. CoRR Daniel Deutch, Yuval Moskovitch, Noam Rinetzky
2020	J	`jnl`	Patterns Count-Based Labels for Datasets. CoRR Yuval Moskovitch, H. V. Jagadish
2020	A	`conf`	Towards Inferring Queries from Simple and Partial Provenance Examples. CIKM Amir Gilad, Yuval Moskovitch
2020	J	`jnl`	Towards Inferring Queries from Simple and Partial Provenance Examples. CoRR Amir Gilad, Yuval Moskovitch
2019	A*	`conf`	COBRA: Compression Via Abstraction of Provenance for Hypothetical Reasoning. ICDE Daniel Deutch, Yuval Moskovitch, Noam Rinetzky
2019	J	`jnl`	Datalignment: Ontology Schema Alignment Through Datalog Containment. Proc. VLDB Endow. Daniel Deutch, Evgeny Marants, Yuval Moskovitch
2019	—	`conf`	Hypothetical Reasoning via Provenance Abstraction. SIGMOD Conference Daniel Deutch, Yuval Moskovitch, Noam Rinetzky
2019	A	`conf`	PODIUM: Probabilistic Datalog Analysis via Contribution Maximization. CIKM Tova Milo, Yuval Moskovitch, Brit Youngmann
2019	—	`—`	Provenance for Data-Centric Applications Yuval Moskovitch
2018	J	`jnl`	Efficient provenance tracking for datalog using top-k queries. VLDB J. Daniel Deutch, Amir Gilad, Yuval Moskovitch
2018	B	`conf`	Towards Hypothetical Reasoning Using Distributed Provenance. EDBT Daniel Deutch, Yuval Moskovitch, Itay Polak, Noam Rinetzky
2017	A*	`conf`	POLYTICS: Provenance-Based Analytics of Data-Centric Applications. ICDE Pierre Bourhis, Daniel Deutch, Yuval Moskovitch
2016	A*	`conf`	Analyzing data-centric applications: Why, what-if, and how-to. ICDE Pierre Bourhis, Daniel Deutch, Yuval Moskovitch
2015	J	`jnl`	Provenance-based analysis of data-centric processes. VLDB J. Daniel Deutch, Yuval Moskovitch, Val Tannen
2015	J	`jnl`	Selective Provenance for Datalog Programs Using Top-K Queries. Proc. VLDB Endow. Daniel Deutch, Amir Gilad, Yuval Moskovitch
2015	—	`conf`	Towards web-scale how-provenance. ICDE Workshops Daniel Deutch, Amir Gilad, Yuval Moskovitch
2015	A*	`conf`	selP: Selective tracking and presentation of data provenance. ICDE Daniel Deutch, Amir Gilad, Yuval Moskovitch
2014	J	`jnl`	A Provenance Framework for Data-Dependent Process Analysis. Proc. VLDB Endow. Daniel Deutch, Yuval Moskovitch, Val Tannen
2013	J	`jnl`	PROPOLIS: Provisioned Analysis of Data-Centric Processes. Proc. VLDB Endow. Daniel Deutch, Yuval Moskovitch, Val Tannen