Nave Frost

According to our database, Nave Frost authored at least 30 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Demonstrating TabEE: Tabular Embedding Explanations.

Roni Copul, Nave Frost, Tova Milo, Kathy Razmadze

Proc. VLDB Endow., August, 2024

TabEE: Tabular Embeddings Explanations.

Roni Copul, Nave Frost, Tova Milo, Kathy Razmadze

Proc. ACM Manag. Data, February, 2024

Banzhaf Values for Facts in Query Answering.

Omer Abramovich, Daniel Deutch, Nave Frost, Ahmet Kara, Dan Olteanu

Proc. ACM Manag. Data, 2024

CaFA: Cost-aware, Feasible Attacks With Database Constraints Against Neural Tabular Classifiers.

Matan Ben-Tov, Daniel Deutch, Nave Frost, Mahmood Sharif

Proceedings of the IEEE Symposium on Security and Privacy, 2024

Optimizing Counterfactual-based Analysis of Machine Learning Models Through Databases.

Aviv Ben-Arie, Daniel Deutch, Nave Frost, Yair Horesh, Idan Meyuhas

Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

Predicting Fact Contributions from Query Logs with Machine Learning.

Dana Arad, Daniel Deutch, Nave Frost

Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

Partially Interpretable Models with Guarantees on Coverage and Accuracy.

Nave Frost, Zachary C. Lipton, Yishay Mansour, Michal Moshkovitz

Proceedings of the International Conference on Algorithmic Learning Theory, 2024

2022

Toward Explainable Data Science

Nave Frost

PhD thesis, 2022

Computing the Shapley Value of Facts in Query Answering.

Daniel Deutch, Nave Frost, Benny Kimelfeld, Mikaël Monet

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

ShapGraph: An Holistic View of Explanations through Provenance Graphs and Shapley Values.

Susan B. Davidson, Daniel Deutch, Nave Frost, Benny Kimelfeld, Omer Koren, Mikaël Monet

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Framework for Evaluating Faithfulness of Local Explanations.

Sanjoy Dasgupta, Nave Frost, Michal Moshkovitz

Proceedings of the International Conference on Machine Learning, 2022

LearnShapley: Learning to Predict Rankings of Facts Contribution Based on Query Logs.

Dana Arad, Daniel Deutch, Nave Frost

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

SmartTriage: A system for personalized patient data capture, documentation generation, and decision support.

Ilya Valmianski, Nave Frost, Navdeep Sood, Yang Wang, Baodong Liu, James J. Zhu, Sunil Karumuri, Ian M. Finn, Daniel S. Zisook

Proceedings of the Machine Learning for Health, 2021

Explanations for Data Repair Through Shapley Values.

Daniel Deutch, Nave Frost, Amir Gilad, Oren Sheffer

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Explaining Natural Language query results.

Daniel Deutch, Nave Frost, Amir Gilad

VLDB J., 2020

Personal Insights for Altering Decisions of Tree-based Ensembles over Time.

Nave Frost, Naama Boer, Daniel Deutch, Tova Milo

Proc. VLDB Endow., 2020

SmartTriage: A system for personalized patient data capture, documentation generation, and decision support.

Ilya Valmianski, Ian M. Finn, Nave Frost, Yang Wang, Baodong Liu, James J. Zhu, Sunil Karumuri, Daniel S. Zisook

CoRR, 2020

ExKMC: Expanding Explainable k-Means Clustering.

Nave Frost, Michal Moshkovitz, Cyrus Rashtchian

CoRR, 2020

T-REx: Table Repair Explanations.

Daniel Deutch, Nave Frost, Amir Gilad, Oren Sheffer

Proceedings of the 2020 International Conference on Management of Data, 2020

Explainable k-Means and k-Medians Clustering.

Michal Moshkovitz, Sanjoy Dasgupta, Cyrus Rashtchian, Nave Frost

Proceedings of the 37th International Conference on Machine Learning, 2020

Explaining Missing Query Results in Natural Language.

Daniel Deutch, Nave Frost, Amir Gilad, Tomer Haimovich

Proceedings of the 23rd International Conference on Extending Database Technology, 2020

2019

Explaining Results of Data-Driven Applications.

Nave Frost

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Constraints-Based Explanations of Classifications.

Daniel Deutch, Nave Frost

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Just in Time: Personal Temporal Insights for Altering Model Decisions.

Naama Boer, Daniel Deutch, Nave Frost, Tova Milo

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018

Natural Language Explanations for Query Results.

Daniel Deutch, Nave Frost, Amir Gilad

SIGMOD Rec., 2018

NLProveNAns: Natural Language Provenance for Non-Answers.

Daniel Deutch, Nave Frost, Amir Gilad, Tomer Haimovich

Proc. VLDB Endow., 2018

Provenance for Non-Experts.

Daniel Deutch, Nave Frost, Amir Gilad

IEEE Data Eng. Bull., 2018

CEC: Constraints based Explanation for Classifications.

Daniel Deutch, Nave Frost

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Provenance for Natural Language Queries.

Daniel Deutch, Nave Frost, Amir Gilad

Proc. VLDB Endow., 2017

2016

NLProv: Natural Language Provenance.

Daniel Deutch, Nave Frost, Amir Gilad

Proc. VLDB Endow., 2016