Julia Stoyanovich

Orcid: 0000-0002-1587-0450

Affiliations:
  • New York University, NY, USA
  • Drexel University (former)
  • Columbia University, New York City, USA (former)


According to our database1, Julia Stoyanovich authored at least 135 papers between 2004 and 2024.

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Bibliography

2024
Automated Data Cleaning can Hurt Fairness in Machine Learning-Based Decision Making.
IEEE Trans. Knowl. Data Eng., December, 2024

Rodeo: Making Refinements for Diverse Top-k Queries.
Proc. VLDB Endow., August, 2024

Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy.
SIGMOD Rec., March, 2024

Temporal graph patterns by timed automata.
VLDB J., January, 2024

Query Refinement for Diverse Top-k Selection.
Proc. ACM Manag. Data, 2024

Still More Shades of Null: A Benchmark for Responsible Missing Value Imputation.
CoRR, 2024

Using Case Studies to Teach Responsible AI to Industry Practitioners.
CoRR, 2024

ShaRP: Explaining Rankings with Shapley Values.
CoRR, 2024

Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity.
CoRR, 2024

Responsible Model Selection with Virny and VirnyView.
Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

The Game Of Recourse: Simulating Algorithmic Recourse over Time to Improve Its Reliability and Fairness.
Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

A New Paradigm for Counterfactual Reasoning in Fairness and Recourse.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Making Transparency Influencers: A Case Study of an Educational Approach to Improve Responsible AI Practices in News and Media.
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

A Simple and Practical Method for Reducing the Disparate Impact of Differential Privacy.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Introducing contextual transparency for automated decision systems.
Nat. Mac. Intell., March, 2023

Responsible AI literacy: A stakeholder-first approach.
Big Data Soc., January, 2023

ERICA: Query Refinement for Diversity Constraint Satisfaction.
Proc. VLDB Endow., 2023

Query Refinement for Diversity Constraint Satisfaction.
Proc. VLDB Endow., 2023

Most Expected Winner: An Interpretation of Winners over Uncertain Voter Preferences.
Proc. ACM Manag. Data, 2023

Fairness in Ranking, Part I: Score-Based Ranking.
ACM Comput. Surv., 2023

Fairness in Ranking, Part II: Learning-to-Rank and Recommender Systems.
ACM Comput. Surv., 2023

The Unbearable Weight of Massive Privilege: Revisiting Bias-Variance Trade-Offs in the Context of Fair Prediction.
CoRR, 2023

The Possibility of Fairness: Revisiting the Impossibility Theorem in Practice.
CoRR, 2023

On Fairness and Stability: Is Estimator Variance a Friend or a Foe?
CoRR, 2023


Fairness in Ranking: From Values to Technical Choices and Back.
Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

Personal Data for Personal Use: Vision or Reality?
Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

Responsible Data Management.
Proceedings of the 31st Symposium of Advanced Database Systems, 2023

Subset Modelling: A Domain Partitioning Strategy for Data-efficient Machine-Learning.
Proceedings of the 38th Brazilian Symposium on Databases, 2023

The Possibility of Fairness: Revisiting the Impossibility Theorem in Practice.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Setting the Right Expectations: Algorithmic Recourse Over Time.
Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 2023

The Algorithmic Transparency Playbook: A Stakeholder-first Approach to Creating Transparency for Your Organization's Algorithms.
Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Counterfactuals for the Future.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Developing data capability with non-profit organisations using participatory methods.
Big Data Soc., January, 2022

Data distribution debugging in machine learning pipelines.
VLDB J., 2022

The Many Facets of Data Equity.
ACM J. Data Inf. Qual., 2022

An external stability audit framework to test the validity of personality prediction in AI hiring.
Data Min. Knowl. Discov., 2022

Rankers, Rankees, & Rankings: Peeking into the Pandora's Box from a Socio-Technical Perspective.
CoRR, 2022

Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy.
CoRR, 2022

Think About the Stakeholders First! Towards an Algorithmic Transparency Playbook for Regulatory Compliance.
CoRR, 2022

Spending Privacy Budget Fairly and Wisely.
CoRR, 2022

External Stability Auditing to Test the Validity of Personality Prediction in AI Hiring.
CoRR, 2022

Responsible data management.
Commun. ACM, 2022

Teaching Responsible Data Science: Charting New Pedagogical Territory.
Int. J. Artif. Intell. Educ., 2022

Temporal Regular Path Queries.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

It's Just Not That Simple: An Empirical Study of the Accuracy-Explainability Trade-off in Machine Learning for Public Policy.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Towards Substantive Conceptions of Algorithmic Fairness: Normative Guidance from Equal Opportunity Doctrines.
Proceedings of the Equity and Access in Algorithms, Mechanisms, and Optimization, 2022

Teaching Responsible Data Science.
Proceedings of the 1st ACM SIGMOD International Workshop on Data Systems Education: Bridging Education Practice with Education Research, 2022

Resume Format, LinkedIn URLs and Other Unexpected Influences on AI Personality Prediction in Hiring: Results of an Audit.
Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

2021
Algorithmic Techniques for Necessary and Possible Winners.
Trans. Data Sci., 2021

AI reflections in 2020.
Nat. Mach. Intell., 2021

COVID-19 Brings Data Equity Challenges to the Fore.
Digit. Gov. Res. Pract., 2021

Temporal Regular Path Queries: Syntax, Semantics, and Complexity.
CoRR, 2021

Impact Remediation: Optimal Interventions to Reduce Inequality.
CoRR, 2021

Fairness as Equality of Opportunity: Normative Guidance from Political Philosophy.
CoRR, 2021

Fairness in Ranking: A Survey.
CoRR, 2021

MLINSPECT: A Data Distribution Debugger for Machine Learning Pipelines.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Comparing Apples and Oranges: Fairness and Diversity in Ranking (Invited Talk).
Proceedings of the 24th International Conference on Database Theory, 2021

Causal Intersectionality and Fair Ranking.
Proceedings of the 2nd Symposium on Foundations of Responsible Computing, 2021

Disaggregated Interventions to Reduce Inequality.
Proceedings of the EAAMO 2021: ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization, Virtual Event, USA, October 5, 2021

Lightweight Inspection of Data Preprocessing in Native Machine Learning Pipelines.
Proceedings of the 11th Conference on Innovative Data Systems Research, 2021

2020
Supporting Hard Queries over Probabilistic Preferences.
Proc. VLDB Endow., 2020

Responsible Data Management.
Proc. VLDB Endow., 2020

The imperative of interpretable machines.
Nat. Mach. Intell., 2020

Taming Technical Bias in Machine Learning Pipelines.
IEEE Data Eng. Bull., 2020

Causal intersectionality for fair ranking.
CoRR, 2020

FairPrep: Promoting Data to a First-Class Citizen in Studies on Fairness-Enhancing Interventions.
Proceedings of the 23rd International Conference on Extending Database Technology, 2020

Zooming Out on an Evolving Graph.
Proceedings of the 23rd International Conference on Extending Database Technology, 2020

2019
Transparency, Fairness, Data Protection, Neutrality: Data Management Challenges in the Face of New Regulation.
ACM J. Data Inf. Qual., 2019

Nutritional Labels for Data and Models.
IEEE Data Eng. Bull., 2019

Towards Responsible Data-driven Decision Making in Score-Based Systems.
IEEE Data Eng. Bull., 2019

The Responsibility Challenge for Data.
Proceedings of the 2019 International Conference on Management of Data, 2019

MithraRanking: A System for Responsible Ranking Design.
Proceedings of the 2019 International Conference on Management of Data, 2019

Designing Fair Ranking Schemes.
Proceedings of the 2019 International Conference on Management of Data, 2019

Balanced Ranking with Diversity Constraints.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

MithraLabel: Flexible Dataset Nutritional Labels for Responsible Data Science.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

TransFAT: Translating Fairness, Accountably and Transparency into Data Science Practice.
Proceedings of the 1st International Workshop on Processing Information Ethically co-located with 31st International Conference on Advanced Information Systems Engineering, 2019

2018
Panel: A Debate on Data and Algorithmic Ethics.
Proc. VLDB Endow., 2018

On Obtaining Stable Rankings.
Proc. VLDB Endow., 2018

Research Directions for Principles of Data Management (Dagstuhl Perspectives Workshop 16151).
Dagstuhl Manifestos, 2018

Zooming in on NYC Taxi Data with Portal.
Proceedings of the Poster Track of the Workshop on Big Social Data and Urban Computing co-located with BiDU 2018 at VLDB 2018, 2018

MobilityMirror: Bias-Adjusted Transportation Datasets.
Proceedings of the Big Social Data and Urban Computing, 2018

A Nutritional Label for Rankings.
Proceedings of the 2018 International Conference on Management of Data, 2018

Special Session: A Technical Research Agenda in Data Ethics and Responsible Data Management.
Proceedings of the 2018 International Conference on Management of Data, 2018

A Query Engine for Probabilistic Preferences.
Proceedings of the 2018 International Conference on Management of Data, 2018

Generating Evolving Property Graphs with Attribute-Aware Preferential Attachment.
Proceedings of the 7th International Workshop on Testing Database Systems, 2018

Computational Social Choice Meets Databases.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Online Set Selection with Fairness and Diversity Constraints.
Proceedings of the 21st International Conference on Extending Database Technology, 2018

Probabilistic Inference Over Repeated Insertion Models.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Synthetic Data for Social Good.
CoRR, 2017

Diversity in Big Data: A Review.
Big Data, 2017

Measuring Fairness in Ranked Outputs.
Proceedings of the 29th International Conference on Scientific and Statistical Database Management, 2017

Fides: Towards a Platform for Responsible Data Science.
Proceedings of the 29th International Conference on Scientific and Statistical Database Management, 2017

DataSynthesizer: Privacy-Preserving Synthetic Datasets.
Proceedings of the 29th International Conference on Scientific and Statistical Database Management, 2017

Querying Probabilistic Preferences in Databases.
Proceedings of the 36th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, 2017

Towards sequenced semantics for evolving graphs.
Proceedings of the 20th International Conference on Extending Database Technology, 2017

Temporal graph algebra.
Proceedings of The 16th International Symposium on Database Programming Languages, 2017

A Database Framework for Probabilistic Preferences.
Proceedings of the 11th Alberto Mendelzon International Workshop on Foundations of Data Management and the Web, 2017

2016
Research Directions for Principles of Data Management (Abridged).
SIGMOD Rec., 2016

Data, Responsibly (Dagstuhl Seminar 16291).
Dagstuhl Reports, 2016

Portal: A Query Language for Evolving Graphs.
CoRR, 2016

Towards a Distributed Infrastructure for Evolving Graph Analytics.
Proceedings of the 25th International Conference on World Wide Web, 2016

Workload-driven learning of mallows mixtures with pairwise preference data.
Proceedings of the 19th International Workshop on Web and Databases, 2016

Data Responsibly: Fairness, Neutrality and Transparency in Data Analysis.
Proceedings of the 19th International Conference on Extending Database Technology, 2016

2015
Analyzing Crowd Rankings.
Proceedings of the 18th International Workshop on Web and Databases, 2015

The elephant in the room: getting value from Big Data.
Proceedings of the 18th International Workshop on Web and Databases, 2015

Collaborative Access Control in WebdamLog.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

2014
A System for Management and Analysis of Preference Data.
Proc. VLDB Endow., 2014

2013
The Webdamlog System Managing Distributed Knowledge on the Web
CoRR, 2013

Introducing Access Control in Webdamlog.
CoRR, 2013

Learning to explore scientific workflow repositories.
Proceedings of the Conference on Scientific and Statistical Database Management, 2013

Search and result presentation in scientific workflow repositories.
Proceedings of the Conference on Scientific and Statistical Database Management, 2013

Rule-based application development using Webdamlog.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

Learning Feature Weights from Positive Cases.
Proceedings of the Case-Based Reasoning Research and Development, 2013

Understanding Local Structure in Ranked Datasets.
Proceedings of the Sixth Biennial Conference on Innovative Data Systems Research, 2013

Understanding the Structure of Ranked Data.
Proceedings of the Sixth Biennial Conference on Innovative Data Systems Research, 2013

2012
Viewing the Web as a Distributed Knowledge Base.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

2011
Putting Lipstick on Pig: Enabling Database-style Workflow Provenance.
Proc. VLDB Endow., 2011

AnnotCompute: annotation-based exploration and meta-analysis of genomics experiments.
Database J. Biol. Databases Curation, 2011

SkylineSearch: semantic ranking and result visualization for pubmed.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

On provenance and privacy.
Proceedings of the Database Theory, 2011

Deriving probabilistic databases with inference ensembles.
Proceedings of the 27th International Conference on Data Engineering, 2011

Making interval-based clustering rank-aware.
Proceedings of the EDBT 2011, 2011

Enabling Privacy in Provenance-Aware Workflow Systems.
Proceedings of the Fifth Biennial Conference on Innovative Data Systems Research, 2011

Keyword Search in Workflow Repositories with Access Control.
Proceedings of the 5th Alberto Mendelzon International Workshop on Foundations of Data Management, 2011

2010
Semantic ranking and result visualization for life sciences publications.
Proceedings of the 26th International Conference on Data Engineering, 2010

2009
Rank-aware clustering of structured datasets.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
Efficient network aware search in collaborative tagging sites.
Proc. VLDB Endow., 2008

MutaGeneSys: estimating individual disease susceptibility based on genome-wide SNP array data.
Bioinform., 2008

From del.icio.us to x.qui.site: recommendations in social tagging sites.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

Schema polynomials and applications.
Proceedings of the EDBT 2008, 2008

Leveraging Tagging to Model User Interests in del.icio.us.
Proceedings of the Social Information Processing, 2008

2007
EntityAuthority: Semantically Enriched Graph-Based Authority Propagation.
Proceedings of the Tenth International Workshop on the Web and Databases, 2007

2005
A Faceted Query Engine Applied to Archaeology.
Proceedings of the 31st International Conference on Very Large Data Bases, Trondheim, Norway, August 30, 2005

2004
Symmetric Relations and Cardinality-Bounded Multisets in Database Systems.
Proceedings of the (e)Proceedings of the Thirtieth International Conference on Very Large Data Bases, VLDB 2004, Toronto, Canada, August 31, 2004


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