Juba Ziani

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All published works
Action Title Year Authors
+ PDF Chat Differential Privacy Overview and Fundamental Techniques 2024 Ferdinando Fioretto
Pascal Van Hentenryck
Juba Ziani
+ PDF Chat Algorithmic Collusion Without Threats 2024 Eshwar Ram Arunachaleswaran
Natalie Collina
Sampath Kannan
Aaron Roth
Juba Ziani
+ PDF Chat Equilibria of Data Marketplaces with Privacy-Aware Sellers under Endogenous Privacy Costs 2024 Diptangshu Sen
Jingyan Wang
Juba Ziani
+ PDF Chat Bayesian Strategic Classification 2024 Lee S. Cohen
Saeed Sharifi-Malvajerdi
Kevin Stangl
Ali Vakilian
Juba Ziani
+ PDF Chat Personalized Differential Privacy for Ridge Regression 2024 Krishna Prasad Acharya
Franziska Boenisch
Rakshit Naidu
Juba Ziani
+ PDF Chat Producers Equilibria and Dynamics in Engagement-Driven Recommender Systems 2024 Krishna Prasad Acharya
Varun Vangala
Jingyan Wang
Juba Ziani
+ PDF Chat The Privacy Paradox and Optimal Biasā€“Variance Trade-offs in Data Acquisition 2024 Guocheng Liao
Yu Su
Juba Ziani
Adam Wierman
Jianwei Huang
+ PDF Chat Wealth Dynamics Over Generations: Analysis and Interventions 2023 Krishna Prasad Acharya
Eshwar Ram Arunachaleswaran
Sampath Kannan
Aaron Roth
Juba Ziani
+ PDF Chat Optimal Data Acquisition with Privacy-Aware Agents 2023 Rachel Cummings
Hadi Elzayn
Emmanouil Pountourakis
Vasilis Gkatzelis
Juba Ziani
+ Sequential Strategic Screening 2023 Lee S. Cohen
Saeed Sharifi-Malvajerd
Kevin Stangl
Ali Vakilian
Juba Ziani
+ Randomized Quantization is All You Need for Differential Privacy in Federated Learning 2023 Yeojoon Youn
Zihao Hu
Juba Ziani
Jacob Abernethy
+ Oracle Efficient Algorithms for Groupwise Regret 2023 Krishna Prasad Acharya
Eshwar Ram Arunachaleswaran
Sampath Kannan
Aaron Roth
Juba Ziani
+ Pipeline Interventions 2022 Eshwar Ram Arunachaleswaran
Sampath Kannan
Aaron Roth
Juba Ziani
+ PDF Chat The Privacy Paradox and Optimal Bias-Variance Trade-offs in Data Acquisition 2022 Guocheng Liao
Yu T. Su
Juba Ziani
Adam Wierman
Jianwei Huang
+ Optimal Data Acquisition with Privacy-Aware Agents 2022 Rachel Cummings
Hadi Elzayn
Vasilis Gkatzelis
Emmanouil Pountourakis
Juba Ziani
+ Wealth Dynamics Over Generations: Analysis and Interventions 2022 Krishna Prasad Acharya
Eshwar Ram Arunachaleswaran
Sampath Kannan
Aaron Roth
Juba Ziani
+ PDF Chat Algorithms and Learning for Fair Portfolio Design 2021 Emily Diana
Travis Dick
Hadi Elzayn
Michael Kearns
Aaron Roth
Zachary Schutzman
Saeed Sharifi-Malvajerdi
Juba Ziani
+ The Privacy Paradox and Optimal Bias-Variance Trade-offs in Data Acquisition 2021 Guocheng Liao
Yu T. Su
Juba Ziani
Adam Wierman
Jianwei Huang
+ Information Discrepancy in Strategic Learning 2021 Yahav Bechavod
Chara Podimata
Zhiwei Steven Wu
Juba Ziani
+ The Privacy Paradox and Optimal Bias-Variance Trade-offs in Data Acquisition 2021 Guocheng Liao
Yu Su
Juba Ziani
Adam Wierman
Jianwei Huang
+ PDF Chat Differentially Private Call Auctions and Market Impact 2020 Emily Diana
Hadi Elzayn
Michael Kearns
Aaron Roth
Saeed Sharifi-Malvajerdi
Juba Ziani
+ PDF Chat Third-Party Data Providers Ruin Simple Mechanisms 2020 Yang Cai
Federico Echenique
Hu Fu
Katrina Ligett
Adam Wierman
Juba Ziani
+ Algorithms and Learning for Fair Portfolio Design 2020 Emily Diana
Travis Dick
Hadi Elzayn
Michael Kearns
Aaron Roth
Zachary Schutzman
Saeed Sharifi-Malvajerdi
Juba Ziani
+ PDF Chat Third-Party Data Providers Ruin Simple Mechanisms 2020 Yang Cai
Federico Echenique
Hu Fu
Katrina Ligett
Adam Wierman
Juba Ziani
+ PDF Chat Third-Party Data Providers Ruin Simple Mechanisms 2020 Yang Cai
Federico Echenique
Hu Fu
Katrina Ligett
Adam Wierman
Juba Ziani
+ Causal Feature Discovery through Strategic Modification. 2020 Yahav Bechavod
Katrina Ligett
Zhiwei Steven Wu
Juba Ziani
+ Gaming Helps! Learning from Strategic Interactions in Natural Dynamics 2020 Yahav Bechavod
Katrina Ligett
Zhiwei Steven Wu
Juba Ziani
+ Differentially Private Call Auctions and Market Impact 2020 Emily Diana
Hadi Elzayn
Michael Kearns
Aaron Roth
Saeed Sharifi-Malvajerdi
Juba Ziani
+ Gaming Helps! Learning from Strategic Interactions in Natural Dynamics 2020 Yahav Bechavod
Katrina Ligett
Zhiwei Steven Wu
Juba Ziani
+ Algorithms and Learning for Fair Portfolio Design 2020 Emily Diana
Travis Dick
Hadi Elzayn
Michael Kearns
Aaron Roth
Zachary Schutzman
Saeed Sharifi-Malvajerdi
Juba Ziani
+ Differentially Private Call Auctions and Market Impact 2020 Emily Diana
Hadi Elzayn
Michael Kearns
Aaron Roth
Saeed Sharifi-Malvajerdi
Juba Ziani
+ Pipeline Interventions 2020 Eshwar Ram Arunachaleswaran
Sampath Kannan
Aaron Roth
Juba Ziani
+ Downstream Effects of Affirmative Action 2019 Sampath Kannan
Aaron Roth
Juba Ziani
+ Access to Population-Level Signaling as a Source of Inequality. 2018 Nicole Immorlica
Katrina Ligett
Juba Ziani
+ Downstream Effects of Affirmative Action 2018 Sampath Kannan
Aaron Roth
Juba Ziani
+ Optimal Data Acquisition for Statistical Estimation 2018 Yiling Chen
Nicole Immorlica
Brendan Lucier
Vasilis Syrgkanis
Juba Ziani
+ Third-Party Data Providers Ruin Simple Mechanisms 2018 Yang Cai
Federico Echenique
Hu Fu
Katrina Ligett
Adam Wierman
Juba Ziani
+ Access to Population-Level Signaling as a Source of Inequality 2018 Nicole Immorlica
Katrina Ligett
Juba Ziani
+ Downstream Effects of Affirmative Action 2018 Sampath Kannan
Aaron Roth
Juba Ziani
+ Inference on Auctions with Weak Assumptions on Information 2017 Vasilis Syrgkanis
Elie Tamer
Juba Ziani
+ Efficiently characterizing games consistent with perturbed equilibrium observations 2017 Juba Ziani
+ Optimal Data Acquisition for Statistical Estimation 2017 Yiling Chen
Nicole Immorlica
Brendan Lucier
Vasilis Syrgkanis
Juba Ziani
+ Inference on Auctions with Weak Assumptions on Information. 2017 Vasilis Syrgkanis
Elie Tamer
Juba Ziani
+ Inference on Auctions with Weak Assumptions on Information 2017 Vasilis Syrgkanis
Elie Tamer
Juba Ziani
+ PDF Chat Joint Data Purchasing and Data Placement in a Geo-Distributed Data Market 2016 Xiaoqi Ren
Palma London
Juba Ziani
Adam Wierman
+ Joint Data Purchasing and Data Placement in a Geo-Distributed Data Market 2016 Xiaoqi Ren
Palma London
Juba Ziani
Adam Wierman
+ Recovering Games from Perturbed Equilibrium Observations Using Convex Optimization 2016 Juba Ziani
Venkat Chandrasekaran
Katrina Ligett
+ Efficiently characterizing games consistent with perturbed equilibrium observations 2016 Juba Ziani
Venkat Chandrasekaran
Katrina Ligett
+ Joint Data Purchasing and Data Placement in a Geo-Distributed Data Market 2016 Xiaoqi Ren
Palma London
Juba Ziani
Adam Wierman
+ Clique numbers of graph unions 2013 Maria Chudnovsky
Juba Ziani
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Approximately optimal auctions for selling privacy when costs are correlated with data 2012 Lisa Fleischer
Yu-Han Lyu
5
+ Strategic Classification from Revealed Preferences 2018 Jinshuo Dong
Aaron Roth
Zachary Schutzman
Bo Waggoner
Zhiwei Steven Wu
4
+ PDF Chat Conducting truthful surveys, cheaply 2012 Aaron Roth
Grant Schoenebeck
4
+ PDF Chat Buying private data without verification 2014 Arpita Ghosh
Katrina Ligett
Aaron Roth
Grant Schoenebeck
4
+ Truthful Linear Regression 2015 Rachel Cummings
Stratis Ioannidis
Katrina Ligett
4
+ PDF Chat Mixture Selection, Mechanism Design, and Signaling 2015 Yu Cheng
Ho Yee Cheung
Shaddin Dughmi
Ehsan Emamjomeh-Zadeh
Li Han
Shangā€Hua Teng
3
+ PDF Chat Simple mechanisms for subadditive buyers via duality 2017 Yang Cai
Mingfei Zhao
3
+ PDF Chat Approximate revenue maximization with multiple items 2017 Sergiu Hart
Noam Nisan
3
+ Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments 2017 Alexandra Chouldechova
3
+ PDF Chat Simple Mechanisms for a Subadditive Buyer and Applications to Revenue Monotonicity 2015 Aviad Rubinstein
S. Matthew Weinberg
3
+ PDF Chat Inducing Approximately Optimal Flow Using Truthful Mediators 2015 Ryan Rogers
Aaron Roth
Jonathan Ullman
Zhiwei Steven Wu
3
+ PDF Chat Low-Cost Learning via Active Data Procurement 2015 Jacob Abernethy
Yiling Chen
Chien-Ju Ho
Bo Waggoner
3
+ Mechanism Design for Subadditive Agents via an Ex Ante Relaxation 2016 Shuchi Chawla
J. Benjamin Miller
3
+ PDF Chat Asymptotically truthful equilibrium selection in large congestion games 2014 Ryan Rogers
Aaron Roth
2
+ PDF Chat Private matchings and allocations 2014 Justin Hsu
Zhiyi Huang
Aaron Roth
Tim Roughgarden
Zhiwei Steven Wu
2
+ A Short-term Intervention for Long-term Fairness in the Labor Market 2018 Lily Hu
Yiling Chen
2
+ PDF Chat Fair Algorithms for Learning in Allocation Problems 2019 Hadi Elzayn
Shahin Jabbari
Christopher Jung
Michael Kearns
Seth Neel
Aaron Roth
Zachary Schutzman
2
+ Jointly private convex programming 2016 Justin Hsu
Zhiyi Huang
Aaron Roth
Zhiwei Steven Wu
2
+ Individual Fairness for $k$-Clustering 2020 Sepideh Mahabadi
Ali Vakilian
2
+ Strategyproof Linear Regression in High Dimensions 2018 Yiling Chen
Chara Podimata
Ariel D. Procaccia
Nisarg Shah
2
+ The disparate equilibria of algorithmic decision making when individuals invest rationally 2020 Lydia T. Liu
Ashia Wilson
Nika Haghtalab
Adam Tauman Kalai
Christian Borgs
Jennifer Chayes
2
+ Fairness and utilization in allocating resources with uncertain demand 2020 Kate Donahue
Jon Kleinberg
2
+ Downstream Effects of Affirmative Action 2019 Sampath Kannan
Aaron Roth
Juba Ziani
2
+ Prior-free Data Acquisition for Accurate Statistical Estimation 2019 Yiling Chen
Shuran Zheng
2
+ Learning Strategy-Aware Linear Classifiers 2019 Yiā€Ling Chen
Yang Liu
Chara Podimata
2
+ Optimal Data Acquisition for Statistical Estimation 2018 Yiling Chen
Nicole Immorlica
Brendan Lucier
Vasilis Syrgkanis
Juba Ziani
2
+ Convex Optimization 2004 Stephen Boyd
Lieven Vandenberghe
2
+ Delayed Impact of Fair Machine Learning 2019 Lydia T. Liu
Sarah Dean
Esther Rolf
Max Simchowitz
Moritz Hardt
2
+ PDF Chat Budget Feasible Mechanisms for Experimental Design 2014 Thibaut Horel
Stratis Ioannidis
S. Muthukrishnan
2
+ PDF Chat Signaling Schemes for Revenue Maximization 2014 Yuval Emek
Michal Feldman
Iftah Gamzu
Renato Paes-Leme
Moshe Tennenholtz
2
+ PDF Chat Approximation Algorithms for Maximin Fair Division 2017 Siddharth Barman
Sanath Kumar Krishna Murthy
2
+ Incomplete Simultaneous Discrete Response Model with Multiple Equilibria 2003 Elie Tamer
2
+ Econometrics for Learning Agents 2015 Denis Nekipelov
Vasilis Syrgkanis
Ɖva Tardos
2
+ Achieving Target Equilibria in Network Routing Games without Knowing the Latency Functions 2014 Umang Bhaskar
Katrina Ligett
Leonard J. Schulman
Chaitanya Swamy
2
+ Convexity and concavity properties of the optimal value function in parametric nonlinear programming 1986 Anthony V. Fiacco
Jerzy Kyparisis
2
+ Equality of Opportunity in Supervised Learning 2016 Moritz Hardt
Eric Price
Nathan Srebro
2
+ PDF Chat Optimal Decision Making Under Strategic Behavior 2024 Stratis Tsirtsis
Behzad Tabibian
M. Amin Khajehnejad
Adish Singla
Bernhard Schƶlkopf
Manuel Gomez-Rodriguez
2
+ PDF Chat Fairness Incentives for Myopic Agents 2017 Sampath Kannan
Michael Kearns
Jamie Morgenstern
Mallesh M. Pai
Aaron Roth
Rakesh Vohra
Zhiwei Steven Wu
2
+ PDF Chat The empirical implications of rank in Bimatrix games 2013 Siddharth Barman
Umang Bhaskar
Federico Echenique
Adam Wierman
2
+ PDF Chat Strategic Classification 2016 Moritz Hardt
Nimrod Megiddo
Christos H. Papadimitriou
Mary Wootters
2
+ PDF Chat A Simple and Approximately Optimal Mechanism for an Additive Buyer 2014 Moshe Babaioff
Nicole Immorlica
Brendan Lucier
S. Matthew Weinberg
2
+ Fairness in Learning: Classic and Contextual Bandits 2016 Matthew Joseph
Michael Kearns
Jamie Morgenstern
Aaron Roth
1
+ Learning Simple Auctions 2016 Jamie Morgenstern
Tim Roughgarden
1
+ PDF Chat Privacy-aware mechanism design 2012 Kobbi Nissim
Claudio Orlandi
Rann Smorodinsky
1
+ PDF Chat On the Computational Complexity of Optimal Simple Mechanisms 2016 Aviad Rubinstein
1
+ PDF Chat Sharp Identification Regions in Models With Convex Moment Predictions 2011 1
+ The Frontiers of Fairness in Machine Learning 2018 Alexandra Chouldechova
Aaron Roth
1
+ PDF Chat Redrawing the boundaries on purchasing data from privacy-sensitive individuals 2014 Kobbi Nissim
Salil Vadhan
David Xiao
1
+ PDF Chat Certifying and Removing Disparate Impact 2015 Michael Feldman
Sorelle A. Friedler
John Moeller
Carlos Scheidegger
Suresh Venkatasubramanian
1
+ Approximately stable, school optimal, and student-truthful many-to-one matchings (via differential privacy) 2015 Sampath Kannan
Jamie Morgenstern
Aaron Roth
Zhiwei Steven Wu
1