Julia Stoyanovich

Julia Stoyanovich

New York University

H-index: 32

North America-United States

About Julia Stoyanovich

Julia Stoyanovich, With an exceptional h-index of 32 and a recent h-index of 28 (since 2020), a distinguished researcher at New York University, specializes in the field of Data Management, Data Science, Data Ethics, Preferences and Voting, Temporal Graphs.

His recent articles reflect a diverse array of research interests and contributions to the field:

Temporal graph patterns by timed automata

A simple and practical method for reducing the disparate impact of differential privacy

Automated data cleaning can hurt fairness in machine learning-based decision making

ShaRP: Explaining Rankings with Shapley Values

Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity

A New Paradigm for Counterfactual Reasoning in Fairness and Recourse

Query Refinement for Diverse Top- Selection

Most Expected Winner: An Interpretation of Winners over Uncertain Voter Preferences

Julia Stoyanovich Information

University

Position

___

Citations(all)

3662

Citations(since 2020)

2577

Cited By

1876

hIndex(all)

32

hIndex(since 2020)

28

i10Index(all)

67

i10Index(since 2020)

51

Email

University Profile Page

New York University

Google Scholar

View Google Scholar Profile

Julia Stoyanovich Skills & Research Interests

Data Management

Data Science

Data Ethics

Preferences and Voting

Temporal Graphs

Top articles of Julia Stoyanovich

Title

Journal

Author(s)

Publication Date

Temporal graph patterns by timed automata

The VLDB Journal

Amir Aghasadeghi

Jan Van den Bussche

Julia Stoyanovich

2024/1

A simple and practical method for reducing the disparate impact of differential privacy

Proceedings of the AAAI Conference on Artificial Intelligence

Lucas Rosenblatt

Julia Stoyanovich

Christopher Musco

2024/3/24

Automated data cleaning can hurt fairness in machine learning-based decision making

IEEE Transactions on Knowledge and Data Engineering

Shubha Guha

Falaah Arif Khan

Julia Stoyanovich

Sebastian Schelter

2024/2/13

ShaRP: Explaining Rankings with Shapley Values

arXiv preprint arXiv:2401.16744

Venetia Pliatsika

Joao Fonseca

Tilun Wang

Julia Stoyanovich

2024/1/30

Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity

arXiv preprint arXiv:2401.16088

Andrew Bell

Joao Fonseca

Carlo Abrate

Francesco Bonchi

Julia Stoyanovich

2024/1/29

A New Paradigm for Counterfactual Reasoning in Fairness and Recourse

arXiv preprint arXiv:2401.13935

Lucius EJ Bynum

Joshua R Loftus

Julia Stoyanovich

2024/1/25

Query Refinement for Diverse Top- Selection

arXiv preprint arXiv:2403.17786

Felix S Campbell

Alon Silberstein

Yuval Moskovitch

Julia Stoyanovich

2024/3/26

Most Expected Winner: An Interpretation of Winners over Uncertain Voter Preferences

Proceedings of the ACM on Management of Data

Haoyue Ping

Julia Stoyanovich

2023/5/30

The unbearable weight of massive privilege: Revisiting bias-variance trade-offs in the context of fair prediction

arXiv preprint arXiv:2302.08704

Falaah Arif Khan

Julia Stoyanovich

2023/2/17

Responsible AI literacy: A stakeholder-first approach

Big Data & Society

Daniel Domínguez Figaredo

Julia Stoyanovich

2023/7

Tutorials at the web conference 2023

Valeria Fionda

Olaf Hartig

Reyhaneh Abdolazimi

Sihem Amer-Yahia

Hongzhi Chen

...

2023/4/30

On Fairness and Stability: Is Estimator Variance a Friend or a Foe?

arXiv e-prints

Falaah Arif Khan

Denys Herasymuk

Julia Stoyanovich

2023/2

Counterfactuals for the Future

Proceedings of the AAAI Conference on Artificial Intelligence

Lucius EJ Bynum

Joshua R Loftus

Julia Stoyanovich

2023/6/26

Setting the right expectations: Algorithmic recourse over time

João Fonseca

Andrew Bell

Carlo Abrate

Francesco Bonchi

Julia Stoyanovich

2023/10/30

The Algorithmic Transparency Playbook: A Stakeholder-first Approach to Creating Transparency for Your Organization’s Algorithms

Andrew Bell

Oded Nov

Julia Stoyanovich

2023/4/19

The possibility of fairness: Revisiting the impossibility theorem in practice

Andrew Bell

Lucius Bynum

Nazarii Drushchak

Tetiana Zakharchenko

Lucas Rosenblatt

...

2023/6/12

Multi-Dimensional Data Publishing With Local Differential Privacy.

Gaoyuan Liu

Peng Tang

Chengyu Hu

Chongshi Jin

Shanqing Guo

...

2023

Query Refinement for Diversity Constraint Satisfaction

Proceedings of the VLDB Endowment

Jinyang Li

Yuval Moskovitch

Julia Stoyanovich

HV Jagadish

2023/10/1

The algorithmic transparency playbook

Center for Responsible AI. Available at: https://dataresponsibly. github. io/algorithmic-transparency-playbook/resources/transparency_playbook_camera_ ready. pdf (Accessed: February 7 2024)

Andrew Bell

O Nov

J Stoyanovich

2023/4

Personal Data for Personal Use: Vision or Reality?

Xin Luna Dong

Bo Li

Julia Stoyanovich

Anthony Kum Hoe Tung

Gerhard Weikum

...

2023/6/4

See List of Professors in Julia Stoyanovich University(New York University)

Co-Authors

H-index: 59
Tova Milo

Tova Milo

Tel Aviv University

H-index: 57
Volker Markl

Volker Markl

Technische Universität Berlin

H-index: 55
Kenneth Ross

Kenneth Ross

Columbia University in the City of New York

H-index: 51
Susan Davidson

Susan Davidson

University of Pennsylvania

H-index: 44
Bill Howe

Bill Howe

University of Washington

H-index: 41
Gerome Miklau

Gerome Miklau

University of Massachusetts Amherst

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