Aaron Roth

Rabanus Derr

CoRR, 2024

Algorithmic Collusion Without Threats.

[BibT_eX]

[DOI]

CoRR, 2024

Analysis of the ICML 2023 Ranking Data: Can Authors' Opinions of Their Own Papers Assist Peer Review in Machine Learning?

[BibT_eX]

[DOI]

CoRR, 2024

Reconstruction Attacks on Machine Unlearning: Simple Models are Vulnerable.

[BibT_eX]

[DOI]

CoRR, 2024

Model Ensembling for Constrained Optimization.

[BibT_eX]

[DOI]

CoRR, 2024

Oracle-Efficient Reinforcement Learning for Max Value Ensembles.

[BibT_eX]

[DOI]

CoRR, 2024

Multicalibration for Confidence Scoring in LLMs.

[BibT_eX]

[DOI]

CoRR, 2024

An Elementary Predictor Obtaining 2√T Distance to Calibration.

[BibT_eX]

[DOI]

Mirah Shi

CoRR, 2024

Oracle Efficient Online Multicalibration and Omniprediction.

[BibT_eX]

[DOI]

Proceedings of the 2024 ACM-SIAM Symposium on Discrete Algorithms, 2024

Efficient Prior-Free Mechanisms for No-Regret Agents.

[BibT_eX]

[DOI]

Han Shao

Proceedings of the 25th ACM Conference on Economics and Computation, 2024

Repeated Contracting with Multiple Non-Myopic Agents: Policy Regret and Limited Liability.

[BibT_eX]

[DOI]

Varun Gupta

Proceedings of the 25th ACM Conference on Economics and Computation, 2024

Forecasting for Swap Regret for All Downstream Agents.

[BibT_eX]

[DOI]

Mirah Shi

Proceedings of the 25th ACM Conference on Economics and Computation, 2024

Improved Differentially Private Regression via Gradient Boosting.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2024

Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks.

[BibT_eX]

[DOI]

Lujing Zhang

Linjun Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Membership Inference Attacks on Diffusion Models via Quantile Regression.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Multicalibration for Confidence Scoring in LLMs.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Oracle Efficient Algorithms for Groupwise Regret.

[BibT_eX]

[DOI]

Krishna Acharya

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Balanced Filtering via Disclosure-Controlled Proxies.

[BibT_eX]

[DOI]

Proceedings of the 5th Symposium on Foundations of Responsible Computing, 2024

Diversified Ensembling: An Experiment in Crowdsourced Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

Order of Magnitude Speedups for LLM Membership Inference.

[BibT_eX]

[DOI]

Rongting Zhang

Martín Bertrán

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

High-Dimensional Prediction for Sequential Decision Making.

[BibT_eX]

[DOI]

CoRR, 2023

Balanced Filtering via Non-Disclosive Proxies.

[BibT_eX]

[DOI]

CoRR, 2023

The Scope of Multicalibration: Characterizing Multicalibration via Property Elicitation.

[BibT_eX]

[DOI]

Georgy Noarov

CoRR, 2023

Wealth Dynamics Over Generations: Analysis and Interventions.

[BibT_eX]

[DOI]

Krishna Acharya

Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023

Scalable Membership Inference Attacks via Quantile Regression.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The Statistical Scope of Multicalibration.

[BibT_eX]

[DOI]

Georgy Noarov

Proceedings of the International Conference on Machine Learning, 2023

Multicalibration as Boosting for Regression.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Individually Fair Learning with One-Sided Feedback.

[BibT_eX]

[DOI]

Yahav Bechavod

Proceedings of the International Conference on Machine Learning, 2023

Batch Multivalid Conformal Prediction.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Reconciling Individual Probability Forecasts✱.

[BibT_eX]

[DOI]

Alexander Tolbert

Scott Weinstein

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Multicalibrated Regression for Downstream Fairness.

[BibT_eX]

[DOI]

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

2022

Pipeline Interventions.

[BibT_eX]

[DOI]

Math. Oper. Res., November, 2022

Exponential Separations in Local Privacy.

[BibT_eX]

[DOI]

Matthew Joseph

Jieming Mao

ACM Trans. Algorithms, 2022

Confidence-Ranked Reconstruction of Census Microdata from Published Statistics.

[BibT_eX]

[DOI]

CoRR, 2022

Beyond the Frontier: Fairness Without Accuracy Loss.

[BibT_eX]

[DOI]

Ira Globus-Harris

CoRR, 2022

Private Synthetic Data for Multitask Learning and Marginal Queries.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Online Minimax Multiobjective Optimization: Multicalibeating and Other Applications.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Practical Adversarial Multivalid Conformal Prediction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Online Multivalid Learning: Means, Moments, and Prediction Intervals.

[BibT_eX]

[DOI]

Proceedings of the 13th Innovations in Theoretical Computer Science Conference, 2022

Best vs. All: Equity and Accuracy of Standardized Test Score Reporting.

[BibT_eX]

[DOI]

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

An Algorithmic Framework for Bias Bounties.

[BibT_eX]

[DOI]

Ira Globus-Harris

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Multiaccurate Proxies for Downstream Fairness.

[BibT_eX]

[DOI]

Emily Diana

Wesley Gill

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Mixed Differential Privacy in Computer Vision.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Online Multiobjective Minimax Optimization and Applications.

[BibT_eX]

[DOI]

Georgy Noarov

CoRR, 2021

Rejoinder: Gaussian Differential Privacy.

[BibT_eX]

[DOI]

Jinshuo Dong

Weijie J. Su

CoRR, 2021

A new analysis of differential privacy's generalization guarantees (invited paper).

[BibT_eX]

[DOI]

Moshe Shenfeld

Proceedings of the STOC '21: 53rd Annual ACM SIGACT Symposium on Theory of Computing, 2021

Algorithms and Learning for Fair Portfolio Design.

[BibT_eX]

[DOI]

Proceedings of the EC '21: The 22nd ACM Conference on Economics and Computation, 2021

Adaptive Machine Unlearning.

[BibT_eX]

[DOI]

Chris Waites

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Differentially Private Query Release Through Adaptive Projection.

[BibT_eX]

[DOI]

Sergül Aydöre

William Brown

Luca Melis

Amaresh Ankit Siva

Proceedings of the 38th International Conference on Machine Learning, 2021

Lexicographically Fair Learning: Algorithms and Generalization.

[BibT_eX]

[DOI]

Proceedings of the 2nd Symposium on Foundations of Responsible Computing, 2021

An Algorithmic Framework for Fairness Elicitation.

[BibT_eX]

[DOI]

Proceedings of the 2nd Symposium on Foundations of Responsible Computing, 2021

A User Friendly Power Tool for Deriving Online Learning Algorithms (Invited Talk).

[BibT_eX]

[DOI]

Proceedings of the 29th Annual European Symposium on Algorithms, 2021

Moment Multicalibration for Uncertainty Estimation.

[BibT_eX]

[DOI]

Proceedings of the Conference on Learning Theory, 2021

Descent-to-Delete: Gradient-Based Methods for Machine Unlearning.

[BibT_eX]

[DOI]

Seth Neel

Proceedings of the Algorithmic Learning Theory, 2021

Minimax Group Fairness: Algorithms and Experiments.

[BibT_eX]

[DOI]

Emily Diana

Wesley Gill

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

Multidimensional Dynamic Pricing for Welfare Maximization.

[BibT_eX]

[DOI]

ACM Trans. Economics and Comput., 2020

Ethical algorithm design.

[BibT_eX]

[DOI]

SIGecom Exch., 2020

Testing differential privacy with dual interpreters.

[BibT_eX]

[DOI]

Proc. ACM Program. Lang., 2020

Local Differential Privacy for Evolving Data.

[BibT_eX]

[DOI]

J. Priv. Confidentiality, 2020

Convergent Algorithms for (Relaxed) Minimax Fairness.

[BibT_eX]

[DOI]

Emily Diana

Wesley Gill

CoRR, 2020

Guidelines for Implementing and Auditing Differentially Private Systems.

[BibT_eX]

[DOI]

CoRR, 2020

A snapshot of the frontiers of fairness in machine learning.

[BibT_eX]

[DOI]

Alexandra Chouldechova

Commun. ACM, 2020

Exponential Separations in Local Differential Privacy.

[BibT_eX]

[DOI]

Matthew Joseph

Jieming Mao

Proceedings of the 2020 ACM-SIAM Symposium on Discrete Algorithms, 2020

Fair Prediction with Endogenous Behavior.

[BibT_eX]

[DOI]

Proceedings of the EC '20: The 21st ACM Conference on Economics and Computation, 2020

Differentially Private Call Auctions and Market Impact.

[BibT_eX]

[DOI]

Proceedings of the EC '20: The 21st ACM Conference on Economics and Computation, 2020

A New Analysis of Differential Privacy's Generalization Guarantees.

[BibT_eX]

[DOI]

Moshe Shenfeld

Proceedings of the 11th Innovations in Theoretical Computer Science Conference, 2020

Oracle Efficient Private Non-Convex Optimization.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Optimal, truthful, and private securities lending.

[BibT_eX]

[DOI]

Proceedings of the ICAIF '20: The First ACM International Conference on AI in Finance, 2020

Guaranteed Validity for Empirical Approaches to Adaptive Data Analysis.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Fuzzi: a three-level logic for differential privacy.

[BibT_eX]

[DOI]

Proc. ACM Program. Lang., 2019

Accuracy First: Selecting a Differential Privacy Level for Accuracy-Constrained ERM.

[BibT_eX]

[DOI]

J. Priv. Confidentiality, 2019

Program for TPDP 2016.

[BibT_eX]

[DOI]

Gilles Barthe

Christos Dimitrakakis

Andreas Haeberlen

Aleksandra B. Slavkovic

J. Priv. Confidentiality, 2019

Differentially Private Objective Perturbation: Beyond Smoothness and Convexity.

[BibT_eX]

[DOI]

CoRR, 2019

Exponential Separations in Local Differential Privacy Through Communication Complexity.

[BibT_eX]

[DOI]

Matthew Joseph

Jieming Mao

CoRR, 2019

Eliciting and Enforcing Subjective Individual Fairness.

[BibT_eX]

[DOI]

CoRR, 2019

Gaussian Differential Privacy.

[BibT_eX]

[DOI]

Jinshuo Dong

Weijie J. Su

CoRR, 2019

Average Individual Fairness: Algorithms, Generalization and Experiments.

[BibT_eX]

[DOI]

Michael J. Kearns

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Equal Opportunity in Online Classification with Partial Feedback.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Differentially Private Fair Learning.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

How to Use Heuristics for Differential Privacy.

[BibT_eX]

[DOI]

Seth Neel

Proceedings of the 60th IEEE Annual Symposium on Foundations of Computer Science, 2019

The Role of Interactivity in Local Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the 60th IEEE Annual Symposium on Foundations of Computer Science, 2019

An Empirical Study of Rich Subgroup Fairness for Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

Downstream Effects of Affirmative Action.

[BibT_eX]

[DOI]

Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

Fair Algorithms for Learning in Allocation Problems.

[BibT_eX]

[DOI]

Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

2018

Private Pareto Optimal Exchange.

[BibT_eX]

[DOI]

ACM Trans. Economics and Comput., 2018

The Frontiers of Fairness in Machine Learning.

[BibT_eX]

[DOI]

Alexandra Chouldechova

CoRR, 2018

Strategic Classification from Revealed Preferences.

[BibT_eX]

[DOI]

Proceedings of the 2018 ACM Conference on Economics and Computation, 2018

A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Online Learning with an Unknown Fairness Metric.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Mitigating Bias in Adaptive Data Gathering via Differential Privacy.

[BibT_eX]

[DOI]

Seth Neel

Proceedings of the 35th International Conference on Machine Learning, 2018

Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Meritocratic Fairness for Infinite and Contextual Bandits.

[BibT_eX]

[DOI]

Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018

2017

An Antifolk Theorem for Large Repeated Games.

[BibT_eX]

[DOI]

ACM Trans. Economics and Comput., 2017

A framework for adaptive differential privacy.

[BibT_eX]

[DOI]

Proc. ACM Program. Lang., 2017

A Convex Framework for Fair Regression.

[BibT_eX]

[DOI]

CoRR, 2017

Pricing information (and its implications): technical perspective.

[BibT_eX]

[DOI]

Commun. ACM, 2017

Guilt-free data reuse.

[BibT_eX]

[DOI]

Commun. ACM, 2017

Fairness Incentives for Myopic Agents.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM Conference on Economics and Computation, 2017

Meritocratic Fairness for Cross-Population Selection.

[BibT_eX]

[DOI]

Michael J. Kearns

Proceedings of the 34th International Conference on Machine Learning, 2017

Fairness in Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Do prices coordinate markets?

[BibT_eX]

[DOI]

SIGecom Exch., 2016

Private Matchings and Allocations.

[BibT_eX]

[DOI]

SIAM J. Comput., 2016

Private algorithms for the protected in social network search.

[BibT_eX]

[DOI]

Proc. Natl. Acad. Sci. USA, 2016

Dual Query: Practical Private Query Release for High Dimensional Data.

[BibT_eX]

[DOI]

Emilio Jesús Gallego Arias

J. Priv. Confidentiality, 2016

Rawlsian Fairness for Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2016

Fair Learning in Markovian Environments.

[BibT_eX]

[DOI]

CoRR, 2016

Computer-Aided Verification for Mechanism Design.

[BibT_eX]

[DOI]

Gilles Barthe

Emilio Jesús Gallego Arias

Pierre-Yves Strub

Proceedings of the Web and Internet Economics - 12th International Conference, 2016

Jointly Private Convex Programming.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh Annual ACM-SIAM Symposium on Discrete Algorithms, 2016

The Strange Case of Privacy in Equilibrium Models.

[BibT_eX]

[DOI]

Proceedings of the 2016 ACM Conference on Economics and Computation, 2016

Privacy Odometers and Filters: Pay-as-you-Go Composition.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Fairness in Learning: Classic and Contextual Bandits.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Learning from Rational Behavior: Predicting Solutions to Unknown Linear Programs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Coordination Complexity: Small Information Coordinating Large Populations.

[BibT_eX]

[DOI]

Rachel Cummings

Jaikumar Radhakrishnan

Proceedings of the 2016 ACM Conference on Innovations in Theoretical Computer Science, 2016

Tight Policy Regret Bounds for Improving and Decaying Bandits.

[BibT_eX]

[DOI]

Hoda Heidari

Michael J. Kearns

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Max-Information, Differential Privacy, and Post-selection Hypothesis Testing.

[BibT_eX]

[DOI]

Proceedings of the IEEE 57th Annual Symposium on Foundations of Computer Science, 2016

Adaptive Learning with Robust Generalization Guarantees.

[BibT_eX]

[DOI]

Proceedings of the 29th Conference on Learning Theory, 2016

2015

Watch and learn: optimizing from revealed preferences feedback.

[BibT_eX]

[DOI]

SIGecom Exch., 2015

Selling privacy at auction.

[BibT_eX]

[DOI]

Arpita Ghosh

Games Econ. Behav., 2015

Auctions with online supply.

[BibT_eX]

[DOI]

Moshe Babaioff

Liad Blumrosen

Games Econ. Behav., 2015

Privacy for the Protected (Only).

[BibT_eX]

[DOI]

CoRR, 2015

Robust Mediators in Large Games.

[BibT_eX]

[DOI]

CoRR, 2015

Privacy and Truthful Equilibrium Selection for Aggregative Games.

[BibT_eX]

[DOI]

Proceedings of the Web and Internet Economics - 11th International Conference, 2015

Preserving Statistical Validity in Adaptive Data Analysis.

[BibT_eX]

[DOI]

Proceedings of the Forty-Seventh Annual ACM on Symposium on Theory of Computing, 2015

Approximately Stable, School Optimal, and Student-Truthful Many-to-One Matchings (via Differential Privacy).

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms, 2015

Inducing Approximately Optimal Flow Using Truthful Mediators.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM Conference on Economics and Computation, 2015

Higher-Order Approximate Relational Refinement Types for Mechanism Design and Differential Privacy.

[BibT_eX]

[DOI]

Gilles Barthe

Emilio Jesús Gallego Arias

Pierre-Yves Strub

Proceedings of the 42nd Annual ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages, 2015

Generalization in Adaptive Data Analysis and Holdout Reuse.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Accuracy for Sale: Aggregating Data with a Variance Constraint.

[BibT_eX]

[DOI]

Proceedings of the 2015 Conference on Innovations in Theoretical Computer Science, 2015

Online Learning and Profit Maximization from Revealed Preferences.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Differential Privacy as a Tool for Mechanism Design in Large Systems.

[BibT_eX]

[DOI]

SIGMETRICS Perform. Evaluation Rev., 2014

The Algorithmic Foundations of Differential Privacy.

[BibT_eX]

[DOI]

Cynthia Dwork

Found. Trends Theor. Comput. Sci., 2014

An Anti-Folk Theorem for Large Repeated Games with Imperfect Monitoring.

[BibT_eX]

[DOI]

CoRR, 2014

Exploiting Metric Structure for Efficient Private Query Release.

[BibT_eX]

[DOI]

Zhiyi Huang

Proceedings of the Twenty-Fifth Annual ACM-SIAM Symposium on Discrete Algorithms, 2014

Constrained Signaling in Auction Design.

[BibT_eX]

[DOI]

Shaddin Dughmi

Nicole Immorlica

Proceedings of the Twenty-Fifth Annual ACM-SIAM Symposium on Discrete Algorithms, 2014

Asymptotically truthful equilibrium selection in large congestion games.

[BibT_eX]

[DOI]

Ryan M. Rogers

Proceedings of the ACM Conference on Economics and Computation, 2014

Buying private data without verification.

[BibT_eX]

[DOI]

Proceedings of the ACM Conference on Economics and Computation, 2014

Mechanism design in large games: incentives and privacy.

[BibT_eX]

[DOI]

Proceedings of the Innovations in Theoretical Computer Science, 2014

Privately Solving Linear Programs.

[BibT_eX]

[DOI]

Proceedings of the Automata, Languages, and Programming - 41st International Colloquium, 2014

Differential Privacy: An Economic Method for Choosing Epsilon.

[BibT_eX]

[DOI]

Proceedings of the IEEE 27th Computer Security Foundations Symposium, 2014

2013

Privacy and mechanism design.

[BibT_eX]

[DOI]

SIGecom Exch., 2013

Constrained signaling for welfare and revenue maximization.

[BibT_eX]

[DOI]

Shaddin Dughmi

Nicole Immorlica

SIGecom Exch., 2013

Privately Releasing Conjunctions and the Statistical Query Barrier.

[BibT_eX]

[DOI]

SIAM J. Comput., 2013

A learning theory approach to noninteractive database privacy.

[BibT_eX]

[DOI]

J. ACM, 2013

Bounds for the Query Complexity of Approximate Equilibria.

[BibT_eX]

[DOI]

Paul W. Goldberg

Electron. Colloquium Comput. Complex., 2013

Coordination When Information is Scarce: How privacy can help.

[BibT_eX]

[DOI]

XRDS, 2013

Differential privacy for the analyst via private equilibrium computation.

[BibT_eX]

[DOI]

Proceedings of the Symposium on Theory of Computing Conference, 2013

Beyond worst-case analysis in private singular vector computation.

[BibT_eX]

[DOI]

Moritz Hardt

Proceedings of the Symposium on Theory of Computing Conference, 2013

Fast Private Data Release Algorithms for Sparse Queries.

[BibT_eX]

[DOI]

Proceedings of the Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques, 2013

Differential privacy, equilibrium, and efficient allocation of resources.

[BibT_eX]

[DOI]

Proceedings of the 51st Annual Allerton Conference on Communication, 2013

2012

Buying private data at auction: the sensitive surveyor's problem.

[BibT_eX]

[DOI]

SIGecom Exch., 2012

The Power of Fair Pricing Mechanisms.

[BibT_eX]

[DOI]

Algorithmica, 2012

Efficiently Learning from Revealed Preference.

[BibT_eX]

[DOI]

Morteza Zadimoghaddam

Proceedings of the Internet and Network Economics - 8th International Workshop, 2012

Take It or Leave It: Running a Survey When Privacy Comes at a Cost.

[BibT_eX]

[DOI]

Proceedings of the Internet and Network Economics - 8th International Workshop, 2012

Iterative Constructions and Private Data Release.

[BibT_eX]

[DOI]

Anupam Gupta

Proceedings of the Theory of Cryptography - 9th Theory of Cryptography Conference, 2012

Beating randomized response on incoherent matrices.

[BibT_eX]

[DOI]

Moritz Hardt

Proceedings of the 44th Symposium on Theory of Computing Conference, 2012

Conducting truthful surveys, cheaply.

[BibT_eX]

[DOI]

Grant Schoenebeck

Proceedings of the 13th ACM Conference on Electronic Commerce, 2012

Distributed Private Heavy Hitters.

[BibT_eX]

[DOI]

Sanjeev Khanna

Proceedings of the Automata, Languages, and Programming - 39th International Colloquium, 2012

2010

Constrained Non-monotone Submodular Maximization: Offline and Secretary Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Internet and Network Economics - 6th International Workshop, 2010

Interactive privacy via the median mechanism.

[BibT_eX]

[DOI]

Tim Roughgarden

Proceedings of the 42nd ACM Symposium on Theory of Computing, 2010

On the Equilibria of Alternating Move Games.

[BibT_eX]

[DOI]

Proceedings of the Twenty-First Annual ACM-SIAM Symposium on Discrete Algorithms, 2010

Differentially Private Combinatorial Optimization.

[BibT_eX]

[DOI]

Proceedings of the Twenty-First Annual ACM-SIAM Symposium on Discrete Algorithms, 2010

Differential Privacy and the Fat-Shattering Dimension of Linear Queries.

[BibT_eX]

[DOI]

Proceedings of the Approximation, 2010

2009

The Median Mechanism: Interactive and Efficient Privacy with Multiple Queries

[BibT_eX]

[DOI]

Tim Roughgarden

CoRR, 2009

Differentially Private Approximation Algorithms

[BibT_eX]

[DOI]

CoRR, 2009

2008

The Price of Malice in Linear Congestion Games.

[BibT_eX]

[DOI]

Proceedings of the Internet and Network Economics, 4th International Workshop, 2008

A learning theory approach to non-interactive database privacy.

[BibT_eX]

[DOI]

Proceedings of the 40th Annual ACM Symposium on Theory of Computing, 2008

Regret minimization and the price of total anarchy.

[BibT_eX]

[DOI]

MohammadTaghi Hajiaghayi