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Aaron Roth

Identifiers

  • name variant Aaron Roth 0.60 · backfill

Papers (71)

  1. Instance-Adaptive Online Multicalibration cs.LG · 2026 · author #3
  2. The Sample Complexity of Multicalibration cs.LG · 2026 · author #4
  3. Optimal Lower Bounds for Online Multicalibration cs.LG · 2026 · author #4
  4. Replicable Reinforcement Learning with Linear Function Approximation cs.LG · 2025 · author #4
  5. Fuzzi: A Three-Level Logic for Differential Privacy cs.PL · 2019 · author #5
  6. Gaussian Differential Privacy cs.LG · 2019 · author #2
  7. Differentially Private Fair Learning cs.LG · 2018 · author #5
  8. How to Use Heuristics for Differential Privacy cs.LG · 2018 · author #2
  9. The Frontiers of Fairness in Machine Learning cs.LG · 2018 · author #2
  10. Fair Algorithms for Learning in Allocation Problems cs.LG · 2018 · author #6
  11. Downstream Effects of Affirmative Action cs.GT · 2018 · author #2
  12. An Empirical Study of Rich Subgroup Fairness for Machine Learning cs.LG · 2018 · author #3
  13. Mitigating Bias in Adaptive Data Gathering via Differential Privacy cs.LG · 2018 · author #2
  14. Local Differential Privacy for Evolving Data cs.LG · 2018 · author #2
  15. Online Learning with an Unknown Fairness Metric cs.LG · 2018 · author #4
  16. A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem cs.LG · 2018 · author #3
  17. Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness cs.LG · 2017 · author #3
  18. Strategic Classification from Revealed Preferences cs.LG · 2017 · author #2
  19. A Convex Framework for Fair Regression cs.LG · 2017 · author #8
  20. Accuracy First: Selecting a Differential Privacy Level for Accuracy-Constrained ERM cs.LG · 2017 · author #3
  21. Fairness Incentives for Myopic Agents cs.GT · 2017 · author #5
  22. Fairness in Reinforcement Learning cs.LG · 2016 · author #5
  23. Fair Algorithms for Infinite and Contextual Bandits cs.LG · 2016 · author #5
  24. Multidimensional Dynamic Pricing for Welfare Maximization cs.DS · 2016 · author #1
  25. Fairness in Learning: Classic and Contextual Bandits cs.LG · 2016 · author #4
  26. Max-Information, Differential Privacy, and Post-Selection Hypothesis Testing cs.LG · 2016 · author #2
  27. Adaptive Learning with Robust Generalization Guarantees cs.DS · 2016 · author #4
  28. Robust Mediators in Large Games cs.GT · 2015 · author #4
  29. Do Prices Coordinate Markets? cs.GT · 2015 · author #4
  30. Coordination Complexity: Small Information Coordinating Large Populations cs.DS · 2015 · author #4
  31. The Strange Case of Privacy in Equilibrium Models cs.GT · 2015 · author #4
  32. Generalization in Adaptive Data Analysis and Holdout Reuse cs.LG · 2015 · author #6
  33. Learning from Rational Behavior: Predicting Solutions to Unknown Linear Programs cs.DS · 2015 · author #3
  34. Privacy for the Protected (Only) cs.DS · 2015 · author #2
  35. Watch and Learn: Optimizing from Revealed Preferences Feedback cs.DS · 2015 · author #1
  36. Computer-aided verification in mechanism design cs.GT · 2015 · author #5
  37. Inducing Approximately Optimal Flow Using Truthful Mediators cs.GT · 2015 · author #2
  38. Preserving Statistical Validity in Adaptive Data Analysis cs.LG · 2014 · author #6
  39. Jointly Private Convex Programming cs.DS · 2014 · author #3
  40. Privacy and Truthful Equilibrium Selection for Aggregative Games cs.DS · 2014 · author #3
  41. Online Learning and Profit Maximization from Revealed Preferences cs.DS · 2014 · author #5
  42. Higher-Order Approximate Relational Refinement Types for Mechanism Design and Differential Privacy cs.PL · 2014 · author #5
  43. Private Pareto Optimal Exchange cs.GT · 2014 · author #4
  44. Approximately Stable, School Optimal, and Student-Truthful Many-to-One Matchings (via Differential Privacy) cs.GT · 2014 · author #3
  45. Buying Private Data without Verification cs.GT · 2014 · author #3
  46. Privately Solving Linear Programs cs.DS · 2014 · author #2
  47. Differential Privacy: An Economic Method for Choosing Epsilon cs.DB · 2014 · author #7
  48. An Anti-Folk Theorem for Large Repeated Games with Imperfect Monitoring cs.GT · 2014 · author #2
  49. Dual Query: Practical Private Query Release for High Dimensional Data cs.DS · 2014 · author #4
  50. Private Matchings and Allocations cs.GT · 2013 · author #3
  51. Asymptotically Truthful Equilibrium Selection in Large Congestion Games cs.GT · 2013 · author #2
  52. Privacy and Mechanism Design cs.GT · 2013 · author #2
  53. Constrained Signaling in Auction Design cs.GT · 2013 · author #3
  54. Exploiting Metric Structure for Efficient Private Query Release cs.DS · 2012 · author #2
  55. Efficiently Learning from Revealed Preference cs.GT · 2012 · author #2
  56. Beyond Worst-Case Analysis in Private Singular Vector Computation cs.DS · 2012 · author #2
  57. Differential Privacy for the Analyst via Private Equilibrium Computation cs.DS · 2012 · author #2
  58. Mechanism Design in Large Games: Incentives and Privacy cs.GT · 2012 · author #3
  59. Conducting Truthful Surveys, Cheaply cs.GT · 2012 · author #1
  60. Distributed Private Heavy Hitters cs.DS · 2012 · author #3
  61. Take it or Leave it: Running a Survey when Privacy Comes at a Cost cs.GT · 2012 · author #2
  62. Fast Private Data Release Algorithms for Sparse Queries cs.DS · 2011 · author #2
  63. Beating Randomized Response on Incoherent Matrices cs.DS · 2011 · author #2
  64. A Learning Theory Approach to Non-Interactive Database Privacy cs.DS · 2011 · author #3
  65. Iterative Constructions and Private Data Release cs.DS · 2011 · author #2
  66. Selling Privacy at Auction cs.GT · 2010 · author #2
  67. Privately Releasing Conjunctions and the Statistical Query Barrier cs.DS · 2010 · author #3
  68. Differential Privacy and the Fat-Shattering Dimension of Linear Queries cs.DS · 2010 · author #1
  69. Constrained Non-Monotone Submodular Maximization: Offline and Secretary Algorithms cs.DS · 2010 · author #2
  70. Interactive Privacy via the Median Mechanism cs.CR · 2009 · author #1
  71. Differentially Private Combinatorial Optimization cs.DS · 2009 · author #4

Mentions

  • 0911.1813 #1 · backfill · confidence 0.70 Aaron Roth
  • 0903.4510 #4 · backfill · confidence 0.70 Aaron Roth

Frequent Coauthors