Stoyanovich, Julia

11 publications

NeurIPS 2025 Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Shlomi Hod, Lucas Rosenblatt, Julia Stoyanovich

AAAI 2025 Making Transparency Advocates: An Educational Approach Towards Better Algorithmic Transparency in Practice Andrew Bell, Julia Stoyanovich

AAAI 2025 Using Case Studies to Teach Responsible AI to Industry Practitioners Julia Stoyanovich, Rodrigo Kreis de Paula, Armanda Lewis, Chloe Zheng

AAAI 2025 We Are AI: Taking Control of Technology Julia Stoyanovich, Armanda Lewis, Eric Corbett, Lucius E. J. Bynum, Lucas Rosenblatt, Falaah Arif Khan

IJCAI 2024 A New Paradigm for Counterfactual Reasoning in Fairness and Recourse Lucius E. J. Bynum, Joshua R. Loftus, Julia Stoyanovich

AAAI 2024 A Simple and Practical Method for Reducing the Disparate Impact of Differential Privacy Lucas Rosenblatt, Julia Stoyanovich, Christopher Musco

AAAI 2023 Counterfactuals for the Future Lucius E. J. Bynum, Joshua R. Loftus, Julia Stoyanovich

ICLRW 2021 Fairness and Friends Falaah Arif Khan, Eleni Manis, Julia Stoyanovich

IJCAI 2019 Balanced Ranking with Diversity Constraints Ke Yang, Vasilis Gkatzelis, Julia Stoyanovich

IJCAI 2018 Computational Social Choice Meets Databases Benny Kimelfeld, Phokion G. Kolaitis, Julia Stoyanovich

AAAI 2018 Probabilistic Inference over Repeated Insertion Models Batya Kenig, Lovro Ilijasic, Haoyue Ping, Benny Kimelfeld, Julia Stoyanovich