Juba Ziani - RankMe

70 papers A* 12A 5Journal 46Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Data Sharing with Endogenous Choices over Differential Privacy Levels. CoRR Raef Bassily, Kate Donahue, Diptangshu Sen, Annuo Zhao, Juba Ziani
2025	A	`conf`	Algorithmic Collusion Without Threats. ITCS Eshwar Ram Arunachaleswaran, Natalie Collina, Sampath Kannan, Aaron Roth, Juba Ziani
2025	J	`jnl`	Centralization vs Decentralization in Hiring and Admissions. CoRR Benjamin Fish, Diptangshu Sen, Juba Ziani
2025	A	`conf`	Differentially Private Graph Data Release: Inefficiencies & Unfairness. AISTATS Ferdinando Fioretto, Diptangshu Sen, Juba Ziani
2025	—	`conf`	Equilibria of Data Marketplaces with Privacy-Aware Sellers under Endogenous Privacy Costs. SaTML Diptangshu Sen, Jingyan Wang, Juba Ziani
2025	A*	`conf`	Fairness Issues and Mitigations in (Differentially Private) Socio-Demographic Data Processes. AAAI Joonhyuk Ko, Juba Ziani, Saswat Das, Matt Williams, Ferdinando Fioretto
2025	J	`jnl`	Finding a Multiple Follower Stackelberg Equilibrium: A Fully First-Order Method. CoRR April Niu, Kai Wang, Juba Ziani
2025	J	`jnl`	Fixed Points and Stochastic Meritocracies: A Long-Term Perspective. CoRR Gaurab Pokharel, Diptangshu Sen, Sanmay Das, Juba Ziani
2025	J	`jnl`	GLoSS: Generative Language Models with Semantic Search for Sequential Recommendation. CoRR Krishna Acharya, Aleksandr V. Petrov, Juba Ziani
2025	J	`jnl`	Incentivizing Desirable Effort Profiles in Strategic Classification: The Role of Causality and Uncertainty. CoRR Valia Efthymiou, Chara Podimata, Diptangshu Sen, Juba Ziani
2025	J	`jnl`	KL-regularization Itself is Differentially Private in Bandits and RLHF. CoRR Yizhou Zhang, Kishan Panaganti, Laixi Shi, Juba Ziani, Adam Wierman
2025	J	`jnl`	Multi-Agent Performative Prediction Beyond the Insensitivity Assumption: A Case Study for Mortgage Competition. CoRR Guanghui Wang, Krishna Acharya, Lokranjan Lakshmikanthan, Vidya Muthukumar, Juba Ziani
2025	J	`jnl`	Optimal Allocation of Privacy Budget on Hierarchical Data Release. CoRR Joonhyuk Ko, Juba Ziani, Ferdinando Fioretto
2025	J	`jnl`	Producers Equilibria and Dynamics in Engagement-Driven Recommender Systems. Trans. Mach. Learn. Res. Krishna Acharya, Juba Ziani, Jingyan Wang, Varun Vangala
2025	A*	`conf`	The Cost of Balanced Training-Data Production in an Online Data Market. WWW Augustin Chaintreau, Roland Maio, Juba Ziani
2025	J	`jnl`	The Cost of Balanced Training-Data Production in an Online Data Market. CoRR Augustin Chaintreau, Roland Maio, Juba Ziani
2025	J	`jnl`	The Disparate Effects of Partial Information in Bayesian Strategic Learning. CoRR Srikanth Avasarala, Serena Wang, Juba Ziani
2024	J	`jnl`	Algorithmic Collusion Without Threats. CoRR Eshwar Ram Arunachaleswaran, Natalie Collina, Sampath Kannan, Aaron Roth, Juba Ziani
2024	A*	`conf`	Bayesian Strategic Classification. NeurIPS Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani
2024	J	`jnl`	Bayesian Strategic Classification. CoRR Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani
2024	J	`jnl`	Differential Privacy Overview and Fundamental Techniques. CoRR Ferdinando Fioretto, Pascal Van Hentenryck, Juba Ziani
2024	J	`jnl`	Differentially Private Data Release on Graphs: Inefficiencies and Unfairness. CoRR Ferdinando Fioretto, Diptangshu Sen, Juba Ziani
2024	J	`jnl`	Equilibria of Data Marketplaces with Privacy-Aware Sellers under Endogenous Privacy Costs. CoRR Diptangshu Sen, Jingyan Wang, Juba Ziani
2024	J	`jnl`	Fairness Issues and Mitigations in (Differentially Private) Socio-demographic Data Processes. CoRR Joonhyuk Ko, Juba Ziani, Saswat Das, Matt Williams, Ferdinando Fioretto
2024	J	`jnl`	On Rider Strategic Behavior in Ride-Sharing Platforms. CoRR Jay Mulay, Diptangshu Sen, Juba Ziani
2024	A*	`conf`	Oracle Efficient Algorithms for Groupwise Regret. ICLR Krishna Acharya, Eshwar Ram Arunachaleswaran, Sampath Kannan, Aaron Roth, Juba Ziani
2024	J	`jnl`	Personalized Differential Privacy for Ridge Regression. CoRR Krishna Acharya, Franziska Boenisch, Rakshit Naidu, Juba Ziani
2024	J	`jnl`	Producers Equilibria and Dynamics in Engagement-Driven Recommender Systems. CoRR Krishna Acharya, Varun Vangala, Jingyan Wang, Juba Ziani
2024	J	`jnl`	The Privacy Paradox and Optimal Bias-Variance Trade-offs in Data Acquisition. Math. Oper. Res. Guocheng Liao, Yu Su, Juba Ziani, Adam Wierman, Jianwei Huang
2023	—	`conf`	Optimal Data Acquisition with Privacy-Aware Agents. SaTML Rachel Cummings, Hadi Elzayn, Emmanouil Pountourakis, Vasilis Gkatzelis, Juba Ziani
2023	J	`jnl`	Oracle Efficient Algorithms for Groupwise Regret. CoRR Krishna Acharya, Eshwar Ram Arunachaleswaran, Sampath Kannan, Aaron Roth, Juba Ziani
2023	J	`jnl`	Randomized Quantization is All You Need for Differential Privacy in Federated Learning. CoRR Yeojoon Youn, Zihao Hu, Juba Ziani, Jacob D. Abernethy
2023	A*	`conf`	Sequential Strategic Screening. ICML Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani
2023	J	`jnl`	Sequential Strategic Screening. CoRR Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani
2023	—	`conf`	Wealth Dynamics Over Generations: Analysis and Interventions. SaTML Krishna Acharya, Eshwar Ram Arunachaleswaran, Sampath Kannan, Aaron Roth, Juba Ziani
2022	J	`jnl`	How Differential Privacy Impacts Data Elicitation. SIGecom Exch. Juba Ziani
2022	A*	`conf`	Information Discrepancy in Strategic Learning. ICML Yahav Bechavod, Chara Podimata, Zhiwei Steven Wu, Juba Ziani
2022	J	`jnl`	Optimal Data Acquisition with Privacy-Aware Agents. CoRR Rachel Cummings, Hadi Elzayn, Vasilis Gkatzelis, Emmanouil Pountourakis, Juba Ziani
2022	J	`jnl`	Pipeline Interventions. Math. Oper. Res. Eshwar Ram Arunachaleswaran, Sampath Kannan, Aaron Roth, Juba Ziani
2022	J	`jnl`	The Privacy Paradox and Optimal Bias-Variance Trade-offs in Data Acquisition. SIGMETRICS Perform. Evaluation Rev. Guocheng Liao, Yu Su, Juba Ziani, Adam Wierman, Jianwei Huang
2022	J	`jnl`	Wealth Dynamics Over Generations: Analysis and Interventions. CoRR Krishna Acharya, Eshwar Ram Arunachaleswaran, Sampath Kannan, Aaron Roth, Juba Ziani
2021	A*	`conf`	Algorithms and Learning for Fair Portfolio Design. EC Emily Diana, Travis Dick, Hadi Elzayn, Michael Kearns, Aaron Roth, Zachary Schutzman, Saeed Sharifi-Malvajerdi, Juba Ziani
2021	A	`conf`	Gaming Helps! Learning from Strategic Interactions in Natural Dynamics. AISTATS Yahav Bechavod, Katrina Ligett, Zhiwei Steven Wu, Juba Ziani
2021	J	`jnl`	Information Discrepancy in Strategic Learning. CoRR Yahav Bechavod, Chara Podimata, Zhiwei Steven Wu, Juba Ziani
2021	A	`conf`	Pipeline Interventions. ITCS Eshwar Ram Arunachaleswaran, Sampath Kannan, Aaron Roth, Juba Ziani
2021	A*	`conf`	The Privacy Paradox and Optimal Bias-Variance Trade-offs in Data Acquisition. EC Guocheng Liao, Yu Su, Juba Ziani, Adam Wierman, Jianwei Huang
2021	J	`jnl`	The Privacy Paradox and Optimal Bias-Variance Trade-offs in Data Acquisition. CoRR Guocheng Liao, Yu Su, Juba Ziani, Adam Wierman, Jianwei Huang
2020	J	`jnl`	Algorithms and Learning for Fair Portfolio Design. CoRR Emily Diana, Travis Dick, Hadi Elzayn, Michael J. Kearns, Aaron Roth, Zachary Schutzman, Saeed Sharifi-Malvajerdi, Juba Ziani
2020	J	`jnl`	Causal Feature Discovery through Strategic Modification. CoRR Yahav Bechavod, Katrina Ligett, Zhiwei Steven Wu, Juba Ziani
2020	A*	`conf`	Differentially Private Call Auctions and Market Impact. EC Emily Diana, Hadi Elzayn, Michael Kearns, Aaron Roth, Saeed Sharifi-Malvajerdi, Juba Ziani
2020	J	`jnl`	Differentially Private Call Auctions and Market Impact. CoRR Emily Diana, Hadi Elzayn, Michael J. Kearns, Aaron Roth, Saeed Sharifi-Malvajerdi, Juba Ziani
2020	J	`jnl`	Pipeline Interventions. CoRR Eshwar Ram Arunachaleswaran, Sampath Kannan, Aaron Roth, Juba Ziani
2020	—	`conf`	Third-Party Data Providers Ruin Simple Mechanisms. SIGMETRICS (Abstracts) Yang Cai, Federico Echenique, Hu Fu, Katrina Ligett, Adam Wierman, Juba Ziani
2020	J	`jnl`	Third-Party Data Providers Ruin Simple Mechanisms. Proc. ACM Meas. Anal. Comput. Syst. Yang Cai, Federico Echenique, Hu Fu, Katrina Ligett, Adam Wierman, Juba Ziani
2019	—	`conf`	Access to Population-Level Signaling as a Source of Inequality. FAT Nicole Immorlica, Katrina Ligett, Juba Ziani
2019	—	`—`	Data: Implications for Markets and for Society. Juba Ziani
2019	—	`conf`	Downstream Effects of Affirmative Action. FAT Sampath Kannan, Aaron Roth, Juba Ziani
2018	J	`jnl`	Access to Population-Level Signaling as a Source of Inequality. CoRR Nicole Immorlica, Katrina Ligett, Juba Ziani
2018	J	`jnl`	Datum: Managing Data Purchasing and Data Placement in a Geo-Distributed Data Market. IEEE/ACM Trans. Netw. Xiaoqi Ren, Palma London, Juba Ziani, Adam Wierman
2018	J	`jnl`	Downstream Effects of Affirmative Action. CoRR Sampath Kannan, Aaron Roth, Juba Ziani
2018	A*	`conf`	Non-Exploitable Protocols for Repeated Cake Cutting. AAAI Omer Tamuz, Shai Vardi, Juba Ziani
2018	A*	`conf`	Optimal Data Acquisition for Statistical Estimation. EC Yiling Chen, Nicole Immorlica, Brendan Lucier, Vasilis Syrgkanis, Juba Ziani
2018	J	`jnl`	Third-Party Data Providers Ruin Simple Mechanisms. CoRR Yang Cai, Federico Echenique, Hu Fu, Katrina Ligett, Adam Wierman, Juba Ziani
2017	J	`jnl`	Inference on Auctions with Weak Assumptions on Information. CoRR Vasilis Syrgkanis, Elie Tamer, Juba Ziani
2017	J	`jnl`	Optimal Data Acquisition for Statistical Estimation. CoRR Yiling Chen, Nicole Immorlica, Brendan Lucier, Vasilis Syrgkanis, Juba Ziani
2016	A*	`conf`	Joint Data Purchasing and Data Placement in a Geo-Distributed Data Market. SIGMETRICS Xiaoqi Ren, Palma London, Juba Ziani, Adam Wierman
2016	J	`jnl`	Joint Data Purchasing and Data Placement in a Geo-Distributed Data Market. CoRR Xiaoqi Ren, Palma London, Juba Ziani, Adam Wierman
2016	J	`jnl`	Recovering Games from Perturbed Equilibrium Observations Using Convex Optimization. CoRR Juba Ziani, Venkat Chandrasekaran, Katrina Ligett
2015	A	`conf`	Accuracy for Sale: Aggregating Data with a Variance Constraint. ITCS Rachel Cummings, Katrina Ligett, Aaron Roth, Zhiwei Steven Wu, Juba Ziani
2015	J	`jnl`	Cliques in the union of graphs. J. Comb. Theory B Ron Aharoni, Eli Berger, Maria Chudnovsky, Juba Ziani