Aaron Roth
According to our database^{1},
Aaron Roth
authored at least 111 papers
between 2008 and 2020.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis OtherLinks
Homepages:

at zbmath.org
On csauthors.net:
Bibliography
2020
Multidimensional Dynamic Pricing for Welfare Maximization.
ACM Trans. Economics and Comput., 2020
Algorithms and Learning for Fair Portfolio Design.
CoRR, 2020
Fair Prediction with Endogenous Behavior.
CoRR, 2020
Pipeline Interventions.
CoRR, 2020
Differentially Private Call Auctions and Market Impact.
CoRR, 2020
Guidelines for Implementing and Auditing Differentially Private Systems.
CoRR, 2020
A snapshot of the frontiers of fairness in machine learning.
Commun. ACM, 2020
Exponential Separations in Local Differential Privacy.
Proceedings of the 2020 ACMSIAM Symposium on Discrete Algorithms, 2020
A New Analysis of Differential Privacy's Generalization Guarantees.
Proceedings of the 11th Innovations in Theoretical Computer Science Conference, 2020
Guaranteed Validity for Empirical Approaches to Adaptive Data Analysis.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
Fuzzi: a threelevel logic for differential privacy.
Proc. ACM Program. Lang., 2019
Program for TPDP 2016.
J. Priv. Confidentiality, 2019
Optimal, Truthful, and Private Securities Lending.
CoRR, 2019
Differentially Private Objective Perturbation: Beyond Smoothness and Convexity.
CoRR, 2019
Exponential Separations in Local Differential Privacy Through Communication Complexity.
CoRR, 2019
Eliciting and Enforcing Subjective Individual Fairness.
CoRR, 2019
Gaussian Differential Privacy.
CoRR, 2019
Average Individual Fairness: Algorithms, Generalization and Experiments.
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.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Differentially Private Fair Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019
How to Use Heuristics for Differential Privacy.
Proceedings of the 60th IEEE Annual Symposium on Foundations of Computer Science, 2019
The Role of Interactivity in Local Differential Privacy.
Proceedings of the 60th IEEE Annual Symposium on Foundations of Computer Science, 2019
An Empirical Study of Rich Subgroup Fairness for Machine Learning.
Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019
Downstream Effects of Affirmative Action.
Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019
Fair Algorithms for Learning in Allocation Problems.
Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019
2018
Private Pareto Optimal Exchange.
ACM Trans. Economics and Comput., 2018
The Frontiers of Fairness in Machine Learning.
CoRR, 2018
Strategic Classification from Revealed Preferences.
Proceedings of the 2018 ACM Conference on Economics and Computation, 2018
A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Local Differential Privacy for Evolving Data.
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.
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.
Proceedings of the 35th International Conference on Machine Learning, 2018
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness.
Proceedings of the 35th International Conference on Machine Learning, 2018
Meritocratic Fairness for Infinite and Contextual Bandits.
Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018
2017
An Antifolk Theorem for Large Repeated Games.
ACM Trans. Economics and Comput., 2017
A framework for adaptive differential privacy.
Proc. ACM Program. Lang., 2017
A Convex Framework for Fair Regression.
CoRR, 2017
Pricing information (and its implications): technical perspective.
Commun. ACM, 2017
Guiltfree data reuse.
Commun. ACM, 2017
Fairness Incentives for Myopic Agents.
Proceedings of the 2017 ACM Conference on Economics and Computation, 2017
Accuracy First: Selecting a Differential Privacy Level for Accuracy Constrained ERM.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Meritocratic Fairness for CrossPopulation Selection.
Proceedings of the 34th International Conference on Machine Learning, 2017
Fairness in Reinforcement Learning.
Proceedings of the 34th International Conference on Machine Learning, 2017
2016
Bounds for the Query Complexity of Approximate Equilibria.
ACM Trans. Economics and Comput., 2016
Do prices coordinate markets?
SIGecom Exch., 2016
Private Matchings and Allocations.
SIAM J. Comput., 2016
Private algorithms for the protected in social network search.
Proc. Natl. Acad. Sci. USA, 2016
Dual Query: Practical Private Query Release for High Dimensional Data.
J. Priv. Confidentiality, 2016
Rawlsian Fairness for Machine Learning.
CoRR, 2016
Fair Learning in Markovian Environments.
CoRR, 2016
ComputerAided Verification for Mechanism Design.
Proceedings of the Web and Internet Economics  12th International Conference, 2016
Jointly Private Convex Programming.
Proceedings of the TwentySeventh Annual ACMSIAM Symposium on Discrete Algorithms, 2016
The Strange Case of Privacy in Equilibrium Models.
Proceedings of the 2016 ACM Conference on Economics and Computation, 2016
Privacy Odometers and Filters: PayasyouGo Composition.
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.
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.
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.
Proceedings of the 2016 ACM Conference on Innovations in Theoretical Computer Science, 2016
Tight Policy Regret Bounds for Improving and Decaying Bandits.
Proceedings of the TwentyFifth International Joint Conference on Artificial Intelligence, 2016
MaxInformation, Differential Privacy, and Postselection Hypothesis Testing.
Proceedings of the IEEE 57th Annual Symposium on Foundations of Computer Science, 2016
Adaptive Learning with Robust Generalization Guarantees.
Proceedings of the 29th Conference on Learning Theory, 2016
2015
Watch and learn: optimizing from revealed preferences feedback.
SIGecom Exch., 2015
Selling privacy at auction.
Games Econ. Behav., 2015
Auctions with online supply.
Games Econ. Behav., 2015
Privacy for the Protected (Only).
CoRR, 2015
Robust Mediators in Large Games.
CoRR, 2015
Privacy and Truthful Equilibrium Selection for Aggregative Games.
Proceedings of the Web and Internet Economics  11th International Conference, 2015
Preserving Statistical Validity in Adaptive Data Analysis.
Proceedings of the FortySeventh Annual ACM on Symposium on Theory of Computing, 2015
Approximately Stable, School Optimal, and StudentTruthful ManytoOne Matchings (via Differential Privacy).
Proceedings of the TwentySixth Annual ACMSIAM Symposium on Discrete Algorithms, 2015
Inducing Approximately Optimal Flow Using Truthful Mediators.
Proceedings of the Sixteenth ACM Conference on Economics and Computation, 2015
HigherOrder Approximate Relational Refinement Types for Mechanism Design and Differential Privacy.
Proceedings of the 42nd Annual ACM SIGPLANSIGACT Symposium on Principles of Programming Languages, 2015
Generalization in Adaptive Data Analysis and Holdout Reuse.
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.
Proceedings of the 2015 Conference on Innovations in Theoretical Computer Science, 2015
Online Learning and Profit Maximization from Revealed Preferences.
Proceedings of the TwentyNinth AAAI Conference on Artificial Intelligence, 2015
2014
Differential Privacy as a Tool for Mechanism Design in Large Systems.
SIGMETRICS Perform. Evaluation Rev., 2014
The Algorithmic Foundations of Differential Privacy.
Foundations and Trends in Theoretical Computer Science, 2014
An AntiFolk Theorem for Large Repeated Games with Imperfect Monitoring.
CoRR, 2014
Exploiting Metric Structure for Efficient Private Query Release.
Proceedings of the TwentyFifth Annual ACMSIAM Symposium on Discrete Algorithms, 2014
Constrained Signaling in Auction Design.
Proceedings of the TwentyFifth Annual ACMSIAM Symposium on Discrete Algorithms, 2014
Asymptotically truthful equilibrium selection in large congestion games.
Proceedings of the ACM Conference on Economics and Computation, 2014
Buying private data without verification.
Proceedings of the ACM Conference on Economics and Computation, 2014
Mechanism design in large games: incentives and privacy.
Proceedings of the Innovations in Theoretical Computer Science, 2014
Privately Solving Linear Programs.
Proceedings of the Automata, Languages, and Programming  41st International Colloquium, 2014
Differential Privacy: An Economic Method for Choosing Epsilon.
Proceedings of the IEEE 27th Computer Security Foundations Symposium, 2014
2013
Privacy and mechanism design.
SIGecom Exch., 2013
Constrained signaling for welfare and revenue maximization.
SIGecom Exch., 2013
Privately Releasing Conjunctions and the Statistical Query Barrier.
SIAM J. Comput., 2013
A learning theory approach to noninteractive database privacy.
J. ACM, 2013
Coordination When Information is Scarce: How privacy can help.
XRDS, 2013
Differential privacy for the analyst via private equilibrium computation.
Proceedings of the Symposium on Theory of Computing Conference, 2013
Beyond worstcase analysis in private singular vector computation.
Proceedings of the Symposium on Theory of Computing Conference, 2013
Fast Private Data Release Algorithms for Sparse Queries.
Proceedings of the Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques, 2013
Differential privacy, equilibrium, and efficient allocation of resources.
Proceedings of the 51st Annual Allerton Conference on Communication, 2013
2012
Buying private data at auction: the sensitive surveyor's problem.
SIGecom Exch., 2012
The Power of Fair Pricing Mechanisms.
Algorithmica, 2012
Efficiently Learning from Revealed Preference.
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.
Proceedings of the Internet and Network Economics  8th International Workshop, 2012
Iterative Constructions and Private Data Release.
Proceedings of the Theory of Cryptography  9th Theory of Cryptography Conference, 2012
Beating randomized response on incoherent matrices.
Proceedings of the 44th Symposium on Theory of Computing Conference, 2012
Conducting truthful surveys, cheaply.
Proceedings of the 13th ACM Conference on Electronic Commerce, 2012
Distributed Private Heavy Hitters.
Proceedings of the Automata, Languages, and Programming  39th International Colloquium, 2012
2010
Constrained Nonmonotone Submodular Maximization: Offline and Secretary Algorithms.
Proceedings of the Internet and Network Economics  6th International Workshop, 2010
Interactive privacy via the median mechanism.
Proceedings of the 42nd ACM Symposium on Theory of Computing, 2010
On the Equilibria of Alternating Move Games.
Proceedings of the TwentyFirst Annual ACMSIAM Symposium on Discrete Algorithms, 2010
Differential Privacy and the FatShattering Dimension of Linear Queries.
Proceedings of the Approximation, 2010
2009
The Median Mechanism: Interactive and Efficient Privacy with Multiple Queries
CoRR, 2009
Differentially Private Approximation Algorithms
CoRR, 2009
Differentially Private Combinatorial Optimization.
Proceedings of the Parameterized complexity and approximation algorithms, 13.12., 2009
2008
The Price of Malice in Linear Congestion Games.
Proceedings of the Internet and Network Economics, 4th International Workshop, 2008
A learning theory approach to noninteractive database privacy.
Proceedings of the 40th Annual ACM Symposium on Theory of Computing, 2008
Regret minimization and the price of total anarchy.
Proceedings of the 40th Annual ACM Symposium on Theory of Computing, 2008
The Price of Stochastic Anarchy.
Proceedings of the Algorithmic Game Theory, First International Symposium, 2008