Representative Publications

*The Impact of Competition on Outcomes of Score-Based College Admissions
G. Bentley, D. Sen, J. Ziani. 
Preprint.

*Limits of Personalizing Differential Privacy Budgets
E. Cyffers, J. Ziani. 
Preprint.

*Data Sharing with Endogenous Choices over Differential Privacy Levels
R. Bassily, K. Donahue, D. Sen, A. Zhao, J. Ziani.
Theory and Practice of Differential Privacy (TPDP), 2026. Oral presentation.

*Local Differential Privacy with Correlated Noise Achieves Central-DP Optimal Cost
S. Avasarala, V. R. Cadambe, M Pathegama, J Ziani.
Theory and Practice of Differential Privacy (TPDP), 2026.

*When Should a Principal Delegate to an Agent in Selection Processes?
B. Fish, D. Sen, J. Ziani, 2026.
Preprint.

*Fixed Points and Stochastic Meritocracies: A Long-Term Perspective
G. Pokharel, D. Sen, S. Das, J. Ziani. 
ACM Conference on Fairness, Accountability, and Transparency, 2026.

*Last-iterate Convergence for Symmetric, General-sum, 2×2 Games Under The Exponential Weights Dynamic
G. Wang, K. Acharya, L. Lakshmikanthan, J. Ziani, V. Muthukumar, 2025.
International Conference on Algorithmic Learning Theory (ALT), 2026. Best student paper award.

*On Rider Strategic Behavior in Ride-Sharing Platforms 
J. Mulay, D. Sen, J. Ziani, 2024.
INFORMS Transportation Science and Logistics (TSL), 2026.

*Incentivizing Desirable Effort Profiles in Strategic Classification: The Role of Causality and Uncertainty
V. Efthymiou, C. Podimata, D. Sen, J. Ziani, 2025.
The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025.

*The Disparate Effects of Partial Information in Bayesian Strategic Learning
S. Avasalara, S. Wang, J. Ziani.
The 8th AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2025.

*Differentially Private Data Release on Graphs: Inefficiencies and Unfairness 
F. Fioretto, D. Sen, J. Ziani. 
The 28th International Conference on Artificial Intelligence and Statistics (AISTATS), 2025.

*The Cost of Balanced Training-Data Production in an Online Data Market
A. Chaintreau, R. Maio, and J. Ziani 
The International World Wide Web Conference (TheWebConf) 2025.

*Fairness Issues and Mitigations in (Differentially Private) Socio-demographic Data Processes 
J. Ko, J. Ziani, S. Das, M. Williams, F. Fioretto.
Annual AAAI Conference on Artificial Intelligence (AAAI), 2025. Special track on AI for Social Impact.

*Algorithmic Collusion Without Threats 
N. Collina, E.R. Arunachaleswaran, S. Kannan, A. Roth, J. Ziani. 
Innovations in Theoretical Computer Science (ITCS), 2025. 

*Equilibria of Data Marketplaces with Privacy-Aware Sellers under Endogenous Privacy Costs 
D. Sen, J. Wang, J. Ziani. 
IEEE Conference on Secure and Trustworthy Machine Learning (SATML), 2025.
International Conference on Algorithmic Decision Theory (ADT), 2024. 

*Personalized Differential Privacy for Ridge Regression 
K. Acharya, F. Boenisch, R. Naidu, J. Ziani. 
Naval Research Logistics, Special Issue on Online and Offline Learning in Operations Management, 2025.

*Finding a Multiple Follower Stackelberg Equilibrium: A Fully First-Order Method
A. Niu, K. Wang, J. Ziani, 2025.

*KL-Regularization Itself is Differential Private in Bandits and in RLHF
Y. Zhang, K. Panaganti, L. Shi, J. Ziani, A. Wierman, 2025.

*GLoSS: Generative Language Models with Semantic Search for Sequential Recommendation
K. Acharya, A. Petrov, J. Ziani.
Online and Adaptive Recommender Systems (OARS) workshop at KDD 2025.

*Optimal Allocation of Privacy Budget on Hierarchical Data Release
J. Ko, J. Ziani, F. Fioretto, 2025

*Bayesian Strategic Classification
L. Cohen, S. Sharifi-Malvajerdi, K. Stangl, A. Vakilian, J. Ziani 
Annual Conference on Neural Information Processing Systems (NeurIPS), 2024. 

*Oracle Efficient Algorithms for Groupwise Regret 
K. Acharya, E. R. Arunachaleswaran, S. Kannan, A. Roth, J. Ziani
International Conference on Learning Representations (ICLR), 2024. 

*The Privacy Paradox and Optimal Bias-Variance Trade-offs in Data Acquisition 
G. Liao (co-first author), Y. Su (co-first author), J. Ziani, A. Wierman, J. Huang 
Mathematics of Operations Research, 2023. 
ACM Conference on Economics and Computation (EC), 2021.

*Sequential Strategic Screening 
L. Cohen, S. Sharifi-Malvajerdi, K. Stangl, A. Vakilian, J. Ziani 
International Conference on Machine Learning (ICML), 2023.

*Wealth Dynamics Over Generations: Analysis and Interventions 
K. Acharya, E.R. Arunachaleswaran, S. Kannan, A. Roth, J. Ziani 
IEEE Conference on Secure and Trustworthy Machine Learning (SATML), 2023.

*Optimal Data Acquisition with Privacy-Aware Agents 
R. Cummings, H. Elzayn, V. Gkatzelis, E. Pountourakis, J. Ziani 
IEEE Conference on Secure and Trustworthy Machine Learning (SATML), 2023.
Best Paper Award.

*Randomized Quantization is All You Need for Differential Privacy in Federated Learning 
Y. Yoon, Z. Hu, J. Ziani, and J. Abernethy. 
Federated Learning and Analytics in Practice: Algorithms, Systems, Applications, and Opportunities Workshop at ICML 2023.

*Information Discrepancy in Strategic Learning 
Y. Bechavod, C. Podimata, Z.S. Wu, J. Ziani 
International Conference on Machine Learning (ICML), 2022
NeurIPS 2021 workshop on Strategic Machine Learning
Short talk available here.

*Pipeline Interventions 
E.R. Arunachaleswaran, S. Kannan, A. Roth, and J. Ziani 
Mathematics of Operations Research, 2022.
Innovations in Theoretical Computer Science (ITCS), 2021. 

Algorithms and Learning for Fair Portfolio Design 
E. Diana, T. Dick, H. Elzayn, M. Kearns, A. Roth, Z. Schutzman, S. Sharifi-Malvajerdi, and J. Ziani 
ACM Conference on Economics and Computation (EC), 2021 

Gaming Helps! Learning from Strategic Interactions in Natural Dynamics 
Y. Bechavod, K. Ligett, Z. S. Wu, and J. Ziani 
The 24th International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
NeurIPS workshop on Strategic Machine Learning 
Workshop on Incentives in Machine Learning (IML) at the 2020 International Conference on Machine Learning (ICML)

Differentially Private Call Auctions and Market Impact 
E. Diana, H. Elzayn, M. Kearns, A. Roth, S. Sharifi-Malvajerdi, and J. Ziani 
ACM Conference on Economics and Computation (EC), 2020

Third-party Data Providers Ruin Simple Mechanisms 
Y. Cai, F. Echenique, H. Fu, K. Ligett, A. Wierman, and J. Ziani 
Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS), 2020
ACM SIGMETRICS Conference on Measurement and Modeling of Computer Systems, 2020 

Downstream Effects of Affirmative Action 
S. Kannan, A. Roth, and J.Ziani 
ACM Conference on Fairness, Accountability, and Transparency (FAccT, formerly known as FAT*), 2019 

Access to Population-Level Signaling as a Source of Inequality 
N. Immorlica, K. Ligett, and J. Ziani 
ACM Conference on Fairness, Accountability, and Transparency (FAccT, formerly known as FAT*), 2019 

Optimal Data Acquisition for Statistical Estimation 
Y. Chen, N. Immorlica, B. Lucier, V. Syrgkanis, and J. Ziani 
ACM Conference on Economics and Computation (EC), 2018 

Non-Exploitable Protocols for Repeated Cake Cutting
O. Tamuz, S. Vardi, and J. Ziani 
AAAI Conference on Artificial Intelligence (AAAI), 2018

Accuracy for Sale: Aggregating Data with a Variance Constraint
R. Cummings, K. Ligett, A. Roth, Z. S. Wu, and J. Ziani 
Innovations in Theoretical Computer Science (ITCS), 2015