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Aaron Roth

Identifiers

  • name variant Aaron Roth 0.60 · backfill

Papers (74)

  1. Optimal Deterministic Multicalibration and Omniprediction cs.LG · 2026 · author #2
  2. What Fits (Into Few Tokens) Doesn't Overfit: Compression and Generalization in ML Research Agents cs.AI · 2026 · author #2
  3. Rejoinder: The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review stat.AP · 2026 · author #8
  4. Instance-Adaptive Online Multicalibration cs.LG · 2026 · author #3
  5. The Sample Complexity of Multicalibration cs.LG · 2026 · author #4
  6. Optimal Lower Bounds for Online Multicalibration cs.LG · 2026 · author #4
  7. Replicable Reinforcement Learning with Linear Function Approximation cs.LG · 2025 · author #4
  8. Fuzzi: A Three-Level Logic for Differential Privacy cs.PL · 2019 · author #5
  9. Gaussian Differential Privacy cs.LG · 2019 · author #2
  10. Differentially Private Fair Learning cs.LG · 2018 · author #5
  11. How to Use Heuristics for Differential Privacy cs.LG · 2018 · author #2
  12. The Frontiers of Fairness in Machine Learning cs.LG · 2018 · author #2
  13. Fair Algorithms for Learning in Allocation Problems cs.LG · 2018 · author #6
  14. Downstream Effects of Affirmative Action cs.GT · 2018 · author #2
  15. An Empirical Study of Rich Subgroup Fairness for Machine Learning cs.LG · 2018 · author #3
  16. Mitigating Bias in Adaptive Data Gathering via Differential Privacy cs.LG · 2018 · author #2
  17. Local Differential Privacy for Evolving Data cs.LG · 2018 · author #2
  18. Online Learning with an Unknown Fairness Metric cs.LG · 2018 · author #4
  19. A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem cs.LG · 2018 · author #3
  20. Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness cs.LG · 2017 · author #3
  21. Strategic Classification from Revealed Preferences cs.LG · 2017 · author #2
  22. A Convex Framework for Fair Regression cs.LG · 2017 · author #8
  23. Accuracy First: Selecting a Differential Privacy Level for Accuracy-Constrained ERM cs.LG · 2017 · author #3
  24. Fairness Incentives for Myopic Agents cs.GT · 2017 · author #5
  25. Fairness in Reinforcement Learning cs.LG · 2016 · author #5
  26. Fair Algorithms for Infinite and Contextual Bandits cs.LG · 2016 · author #5
  27. Multidimensional Dynamic Pricing for Welfare Maximization cs.DS · 2016 · author #1
  28. Fairness in Learning: Classic and Contextual Bandits cs.LG · 2016 · author #4
  29. Max-Information, Differential Privacy, and Post-Selection Hypothesis Testing cs.LG · 2016 · author #2
  30. Adaptive Learning with Robust Generalization Guarantees cs.DS · 2016 · author #4
  31. Robust Mediators in Large Games cs.GT · 2015 · author #4
  32. Do Prices Coordinate Markets? cs.GT · 2015 · author #4
  33. Coordination Complexity: Small Information Coordinating Large Populations cs.DS · 2015 · author #4
  34. The Strange Case of Privacy in Equilibrium Models cs.GT · 2015 · author #4
  35. Generalization in Adaptive Data Analysis and Holdout Reuse cs.LG · 2015 · author #6
  36. Learning from Rational Behavior: Predicting Solutions to Unknown Linear Programs cs.DS · 2015 · author #3
  37. Privacy for the Protected (Only) cs.DS · 2015 · author #2
  38. Watch and Learn: Optimizing from Revealed Preferences Feedback cs.DS · 2015 · author #1
  39. Computer-aided verification in mechanism design cs.GT · 2015 · author #5
  40. Inducing Approximately Optimal Flow Using Truthful Mediators cs.GT · 2015 · author #2
  41. Preserving Statistical Validity in Adaptive Data Analysis cs.LG · 2014 · author #6
  42. Jointly Private Convex Programming cs.DS · 2014 · author #3
  43. Privacy and Truthful Equilibrium Selection for Aggregative Games cs.DS · 2014 · author #3
  44. Online Learning and Profit Maximization from Revealed Preferences cs.DS · 2014 · author #5
  45. Higher-Order Approximate Relational Refinement Types for Mechanism Design and Differential Privacy cs.PL · 2014 · author #5
  46. Private Pareto Optimal Exchange cs.GT · 2014 · author #4
  47. Approximately Stable, School Optimal, and Student-Truthful Many-to-One Matchings (via Differential Privacy) cs.GT · 2014 · author #3
  48. Buying Private Data without Verification cs.GT · 2014 · author #3
  49. Privately Solving Linear Programs cs.DS · 2014 · author #2
  50. Differential Privacy: An Economic Method for Choosing Epsilon cs.DB · 2014 · author #7
  51. An Anti-Folk Theorem for Large Repeated Games with Imperfect Monitoring cs.GT · 2014 · author #2
  52. Dual Query: Practical Private Query Release for High Dimensional Data cs.DS · 2014 · author #4
  53. Private Matchings and Allocations cs.GT · 2013 · author #3
  54. Asymptotically Truthful Equilibrium Selection in Large Congestion Games cs.GT · 2013 · author #2
  55. Privacy and Mechanism Design cs.GT · 2013 · author #2
  56. Constrained Signaling in Auction Design cs.GT · 2013 · author #3
  57. Exploiting Metric Structure for Efficient Private Query Release cs.DS · 2012 · author #2
  58. Efficiently Learning from Revealed Preference cs.GT · 2012 · author #2
  59. Beyond Worst-Case Analysis in Private Singular Vector Computation cs.DS · 2012 · author #2
  60. Differential Privacy for the Analyst via Private Equilibrium Computation cs.DS · 2012 · author #2
  61. Mechanism Design in Large Games: Incentives and Privacy cs.GT · 2012 · author #3
  62. Conducting Truthful Surveys, Cheaply cs.GT · 2012 · author #1
  63. Distributed Private Heavy Hitters cs.DS · 2012 · author #3
  64. Take it or Leave it: Running a Survey when Privacy Comes at a Cost cs.GT · 2012 · author #2
  65. Fast Private Data Release Algorithms for Sparse Queries cs.DS · 2011 · author #2
  66. Beating Randomized Response on Incoherent Matrices cs.DS · 2011 · author #2
  67. A Learning Theory Approach to Non-Interactive Database Privacy cs.DS · 2011 · author #3
  68. Iterative Constructions and Private Data Release cs.DS · 2011 · author #2
  69. Selling Privacy at Auction cs.GT · 2010 · author #2
  70. Privately Releasing Conjunctions and the Statistical Query Barrier cs.DS · 2010 · author #3
  71. Differential Privacy and the Fat-Shattering Dimension of Linear Queries cs.DS · 2010 · author #1
  72. Constrained Non-Monotone Submodular Maximization: Offline and Secretary Algorithms cs.DS · 2010 · author #2
  73. Interactive Privacy via the Median Mechanism cs.CR · 2009 · author #1
  74. Differentially Private Combinatorial Optimization cs.DS · 2009 · author #4

Mentions

  • 2606.20557 #2 · arxiv_oai · confidence 0.70 Aaron Roth
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  • 2605.25172 #8 · arxiv_oai · confidence 0.70 Aaron Roth
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  • 2605.09273 #3 · arxiv_oai · confidence 0.70 Aaron Roth
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Frequent Coauthors