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Juba Ziani
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2020 – today
- 2024
- [c17]Krishna Acharya, Eshwar Ram Arunachaleswaran, Sampath Kannan, Aaron Roth, Juba Ziani:
Oracle Efficient Algorithms for Groupwise Regret. ICLR 2024 - [i22]Krishna Acharya, Varun Vangala, Jingyan Wang, Juba Ziani:
Producers Equilibria and Dynamics in Engagement-Driven Recommender Systems. CoRR abs/2401.16641 (2024) - [i21]Krishna Acharya, Franziska Boenisch, Rakshit Naidu, Juba Ziani:
Personalized Differential Privacy for Ridge Regression. CoRR abs/2401.17127 (2024) - [i20]Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani:
Bayesian Strategic Classification. CoRR abs/2402.08758 (2024) - [i19]Diptangshu Sen, Jingyan Wang, Juba Ziani:
Equilibria of Data Marketplaces with Privacy-Aware Sellers under Endogenous Privacy Costs. CoRR abs/2402.08826 (2024) - 2023
- [c16]Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani:
Sequential Strategic Screening. ICML 2023: 6279-6295 - [c15]Krishna Acharya, Eshwar Ram Arunachaleswaran, Sampath Kannan, Aaron Roth
, Juba Ziani:
Wealth Dynamics Over Generations: Analysis and Interventions. SaTML 2023: 42-57 - [c14]Rachel Cummings, Hadi Elzayn, Emmanouil Pountourakis, Vasilis Gkatzelis, Juba Ziani:
Optimal Data Acquisition with Privacy-Aware Agents. SaTML 2023: 210-224 - [i18]Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani:
Sequential Strategic Screening. CoRR abs/2301.13397 (2023) - [i17]Yeojoon Youn, Zihao Hu, Juba Ziani, Jacob D. Abernethy:
Randomized Quantization is All You Need for Differential Privacy in Federated Learning. CoRR abs/2306.11913 (2023) - [i16]Krishna Acharya, Eshwar Ram Arunachaleswaran, Sampath Kannan, Aaron Roth, Juba Ziani:
Oracle Efficient Algorithms for Groupwise Regret. CoRR abs/2310.04652 (2023) - 2022
- [j5]Eshwar Ram Arunachaleswaran, Sampath Kannan, Aaron Roth
, Juba Ziani
:
Pipeline Interventions. Math. Oper. Res. 47(4): 3207-3238 (2022) - [j4]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): 6-8 (2022) - [c13]Yahav Bechavod, Chara Podimata, Zhiwei Steven Wu, Juba Ziani:
Information Discrepancy in Strategic Learning. ICML 2022: 1691-1715 - [i15]Rachel Cummings, Hadi Elzayn, Vasilis Gkatzelis, Emmanouil Pountourakis, Juba Ziani:
Optimal Data Acquisition with Privacy-Aware Agents. CoRR abs/2209.06340 (2022) - [i14]Krishna Acharya, Eshwar Ram Arunachaleswaran, Sampath Kannan, Aaron Roth
, Juba Ziani:
Wealth Dynamics Over Generations: Analysis and Interventions. CoRR abs/2209.07375 (2022) - 2021
- [c12]Yahav Bechavod, Katrina Ligett, Zhiwei Steven Wu
, Juba Ziani:
Gaming Helps! Learning from Strategic Interactions in Natural Dynamics. AISTATS 2021: 1234-1242 - [c11]Eshwar Ram Arunachaleswaran, Sampath Kannan, Aaron Roth
, Juba Ziani:
Pipeline Interventions. ITCS 2021: 8:1-8:20 - [c10]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: 371-389 - [c9]Guocheng Liao, Yu Su, Juba Ziani, Adam Wierman, Jianwei Huang:
The Privacy Paradox and Optimal Bias-Variance Trade-offs in Data Acquisition. EC 2021: 689 - [i13]Yahav Bechavod, Chara Podimata, Zhiwei Steven Wu, Juba Ziani:
Information Discrepancy in Strategic Learning. CoRR abs/2103.01028 (2021) - [i12]Guocheng Liao, Yu Su, Juba Ziani, Adam Wierman, Jianwei Huang:
The Privacy Paradox and Optimal Bias-Variance Trade-offs in Data Acquisition. CoRR abs/2105.14262 (2021) - 2020
- [j3]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): 12:1-12:31 (2020) - [c8]Emily Diana, Hadi Elzayn, Michael Kearns, Aaron Roth
, Saeed Sharifi-Malvajerdi, Juba Ziani:
Differentially Private Call Auctions and Market Impact. EC 2020: 541-583 - [c7]Yang Cai
, Federico Echenique, Hu Fu, Katrina Ligett, Adam Wierman, Juba Ziani:
Third-Party Data Providers Ruin Simple Mechanisms. SIGMETRICS (Abstracts) 2020: 103 - [i11]Emily Diana, Hadi Elzayn, Michael J. Kearns, Aaron Roth, Saeed Sharifi-Malvajerdi, Juba Ziani:
Differentially Private Call Auctions and Market Impact. CoRR abs/2002.05699 (2020) - [i10]Eshwar Ram Arunachaleswaran, Sampath Kannan, Aaron Roth, Juba Ziani:
Pipeline Interventions. CoRR abs/2002.06592 (2020) - [i9]Yahav Bechavod, Katrina Ligett, Zhiwei Steven Wu, Juba Ziani:
Causal Feature Discovery through Strategic Modification. CoRR abs/2002.07024 (2020) - [i8]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 abs/2006.07281 (2020)
2010 – 2019
- 2019
- [c6]Sampath Kannan, Aaron Roth
, Juba Ziani:
Downstream Effects of Affirmative Action. FAT 2019: 240-248 - [c5]Nicole Immorlica, Katrina Ligett
, Juba Ziani:
Access to Population-Level Signaling as a Source of Inequality. FAT 2019: 249-258 - 2018
- [j2]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): 893-905 (2018) - [c4]Omer Tamuz, Shai Vardi, Juba Ziani:
Non-Exploitable Protocols for Repeated Cake Cutting. AAAI 2018: 1226-1233 - [c3]Yiling Chen, Nicole Immorlica, Brendan Lucier, Vasilis Syrgkanis, Juba Ziani:
Optimal Data Acquisition for Statistical Estimation. EC 2018: 27-44 - [i7]Yang Cai, Federico Echenique, Hu Fu, Katrina Ligett, Adam Wierman, Juba Ziani:
Third-Party Data Providers Ruin Simple Mechanisms. CoRR abs/1802.07407 (2018) - [i6]Sampath Kannan, Aaron Roth, Juba Ziani:
Downstream Effects of Affirmative Action. CoRR abs/1808.09004 (2018) - [i5]Nicole Immorlica, Katrina Ligett, Juba Ziani:
Access to Population-Level Signaling as a Source of Inequality. CoRR abs/1809.04224 (2018) - 2017
- [i4]Vasilis Syrgkanis, Elie Tamer, Juba Ziani:
Inference on Auctions with Weak Assumptions on Information. CoRR abs/1710.03830 (2017) - [i3]Yiling Chen, Nicole Immorlica, Brendan Lucier, Vasilis Syrgkanis, Juba Ziani:
Optimal Data Acquisition for Statistical Estimation. CoRR abs/1711.01295 (2017) - 2016
- [c2]Xiaoqi Ren, Palma London, Juba Ziani, Adam Wierman:
Joint Data Purchasing and Data Placement in a Geo-Distributed Data Market. SIGMETRICS 2016: 383-384 - [i2]Juba Ziani, Venkat Chandrasekaran, Katrina Ligett:
Recovering Games from Perturbed Equilibrium Observations Using Convex Optimization. CoRR abs/1603.01318 (2016) - [i1]Xiaoqi Ren, Palma London, Juba Ziani, Adam Wierman:
Joint Data Purchasing and Data Placement in a Geo-Distributed Data Market. CoRR abs/1604.02533 (2016) - 2015
- [j1]Ron Aharoni, Eli Berger, Maria Chudnovsky
, Juba Ziani:
Cliques in the union of graphs. J. Comb. Theory B 114: 170-186 (2015) - [c1]Rachel Cummings, Katrina Ligett
, Aaron Roth
, Zhiwei Steven Wu, Juba Ziani:
Accuracy for Sale: Aggregating Data with a Variance Constraint. ITCS 2015: 317-324
Coauthor Index
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last updated on 2024-08-08 20:13 CEST by the dblp team
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