Juba Ziani

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 42

Top Topics

Statistical Estimation

Data Acquisition

Convex Optimization

Top Venues

Publications

Krishna Acharya, Franziska Boenisch, Rakshit Naidu, Juba Ziani
Personalized Differential Privacy for Ridge Regression. CoRR (2024)
Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani
Bayesian Strategic Classification. CoRR (2024)
Krishna Acharya, Eshwar Ram Arunachaleswaran, Sampath Kannan, Aaron Roth, Juba Ziani
Oracle Efficient Algorithms for Groupwise Regret. ICLR (2024)
Diptangshu Sen, Jingyan Wang, Juba Ziani
Equilibria of Data Marketplaces with Privacy-Aware Sellers under Endogenous Privacy Costs. CoRR (2024)
Krishna Acharya, Varun Vangala, Jingyan Wang, Juba Ziani
Producers Equilibria and Dynamics in Engagement-Driven Recommender Systems. CoRR (2024)
Rachel Cummings, Hadi Elzayn, Emmanouil Pountourakis, Vasilis Gkatzelis, Juba Ziani
Optimal Data Acquisition with Privacy-Aware Agents. SaTML (2023)
Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani
Sequential Strategic Screening. CoRR (2023)
Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani
Sequential Strategic Screening. ICML (2023)
Yeojoon Youn, Zihao Hu, Juba Ziani, Jacob D. Abernethy
Randomized Quantization is All You Need for Differential Privacy in Federated Learning. CoRR (2023)
Krishna Acharya, Eshwar Ram Arunachaleswaran, Sampath Kannan, Aaron Roth, Juba Ziani
Oracle Efficient Algorithms for Groupwise Regret. CoRR (2023)
Krishna Acharya, Eshwar Ram Arunachaleswaran, Sampath Kannan, Aaron Roth, Juba Ziani
Wealth Dynamics Over Generations: Analysis and Interventions. SaTML (2023)
Guocheng Liao, Yu Su, Juba Ziani, Adam Wierman, Jianwei Huang
The Privacy Paradox and Optimal Bias-Variance Trade-offs in Data Acquisition. SIGMETRICS Perform. Evaluation Rev. 49 (2) (2022)
Rachel Cummings, Hadi Elzayn, Vasilis Gkatzelis, Emmanouil Pountourakis, Juba Ziani
Optimal Data Acquisition with Privacy-Aware Agents. CoRR (2022)
Eshwar Ram Arunachaleswaran, Sampath Kannan, Aaron Roth, Juba Ziani
Pipeline Interventions. Math. Oper. Res. 47 (4) (2022)
Yahav Bechavod, Chara Podimata, Zhiwei Steven Wu, Juba Ziani
Information Discrepancy in Strategic Learning. ICML (2022)
Krishna Acharya, Eshwar Ram Arunachaleswaran, Sampath Kannan, Aaron Roth, Juba Ziani
Wealth Dynamics Over Generations: Analysis and Interventions. CoRR (2022)
Guocheng Liao, Yu Su, Juba Ziani, Adam Wierman, Jianwei Huang
The Privacy Paradox and Optimal Bias-Variance Trade-offs in Data Acquisition. EC (2021)
Yahav Bechavod, Katrina Ligett, Zhiwei Steven Wu, Juba Ziani
Gaming Helps! Learning from Strategic Interactions in Natural Dynamics. AISTATS (2021)
Eshwar Ram Arunachaleswaran, Sampath Kannan, Aaron Roth, Juba Ziani
Pipeline Interventions. ITCS (2021)
Emily Diana, Travis Dick, Hadi Elzayn, Michael Kearns, Aaron Roth, Zachary Schutzman, Saeed Sharifi-Malvajerdi, Juba Ziani
Algorithms and Learning for Fair Portfolio Design. EC (2021)
Guocheng Liao, Yu Su, Juba Ziani, Adam Wierman, Jianwei Huang
The Privacy Paradox and Optimal Bias-Variance Trade-offs in Data Acquisition. CoRR (2021)
Yahav Bechavod, Chara Podimata, Zhiwei Steven Wu, Juba Ziani
Information Discrepancy in Strategic Learning. CoRR (2021)
Yang Cai, Federico Echenique, Hu Fu, Katrina Ligett, Adam Wierman, Juba Ziani
Third-Party Data Providers Ruin Simple Mechanisms. Proc. ACM Meas. Anal. Comput. Syst. 4 (1) (2020)
Emily Diana, Hadi Elzayn, Michael Kearns, Aaron Roth, Saeed Sharifi-Malvajerdi, Juba Ziani
Differentially Private Call Auctions and Market Impact. EC (2020)
Yang Cai, Federico Echenique, Hu Fu, Katrina Ligett, Adam Wierman, Juba Ziani
Third-Party Data Providers Ruin Simple Mechanisms. SIGMETRICS (Abstracts) (2020)
Emily Diana, Hadi Elzayn, Michael J. Kearns, Aaron Roth, Saeed Sharifi-Malvajerdi, Juba Ziani
Differentially Private Call Auctions and Market Impact. CoRR (2020)
Yahav Bechavod, Katrina Ligett, Zhiwei Steven Wu, Juba Ziani
Causal Feature Discovery through Strategic Modification. CoRR (2020)
Emily Diana, Travis Dick, Hadi Elzayn, Michael J. Kearns, Aaron Roth, Zachary Schutzman, Saeed Sharifi-Malvajerdi, Juba Ziani
Algorithms and Learning for Fair Portfolio Design. CoRR (2020)
Eshwar Ram Arunachaleswaran, Sampath Kannan, Aaron Roth, Juba Ziani
Pipeline Interventions. CoRR (2020)
Nicole Immorlica, Katrina Ligett, Juba Ziani
Access to Population-Level Signaling as a Source of Inequality. FAT (2019)
Sampath Kannan, Aaron Roth, Juba Ziani
Downstream Effects of Affirmative Action. FAT (2019)
Yang Cai, Federico Echenique, Hu Fu, Katrina Ligett, Adam Wierman, Juba Ziani
Third-Party Data Providers Ruin Simple Mechanisms. CoRR (2018)
Xiaoqi Ren, Palma London, Juba Ziani, Adam Wierman
Datum: Managing Data Purchasing and Data Placement in a Geo-Distributed Data Market. IEEE/ACM Trans. Netw. 26 (2) (2018)
Nicole Immorlica, Katrina Ligett, Juba Ziani
Access to Population-Level Signaling as a Source of Inequality. CoRR (2018)
Omer Tamuz, Shai Vardi, Juba Ziani
Non-Exploitable Protocols for Repeated Cake Cutting. AAAI (2018)
Sampath Kannan, Aaron Roth, Juba Ziani
Downstream Effects of Affirmative Action. CoRR (2018)
Yiling Chen, Nicole Immorlica, Brendan Lucier, Vasilis Syrgkanis, Juba Ziani
Optimal Data Acquisition for Statistical Estimation. EC (2018)
Yiling Chen, Nicole Immorlica, Brendan Lucier, Vasilis Syrgkanis, Juba Ziani
Optimal Data Acquisition for Statistical Estimation. CoRR (2017)
Vasilis Syrgkanis, Elie Tamer, Juba Ziani
Inference on Auctions with Weak Assumptions on Information. CoRR (2017)
Juba Ziani, Venkat Chandrasekaran, Katrina Ligett
Recovering Games from Perturbed Equilibrium Observations Using Convex Optimization. CoRR (2016)
Xiaoqi Ren, Palma London, Juba Ziani, Adam Wierman
Joint Data Purchasing and Data Placement in a Geo-Distributed Data Market. SIGMETRICS (2016)
Xiaoqi Ren, Palma London, Juba Ziani, Adam Wierman
Joint Data Purchasing and Data Placement in a Geo-Distributed Data Market. CoRR (2016)
Ron Aharoni, Eli Berger, Maria Chudnovsky, Juba Ziani
Cliques in the union of graphs. J. Comb. Theory, Ser. B 114 (2015)
Rachel Cummings, Katrina Ligett, Aaron Roth, Zhiwei Steven Wu, Juba Ziani
Accuracy for Sale: Aggregating Data with a Variance Constraint. ITCS (2015)