~/talks

Aaron Roth

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where they keep going back

  • ITCS2 editions2021–2022

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on a stage with

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who talks about the same things

titleconferencedate
Agreement and Alignment for Human-AI Collaborative Decision MakingBridging Prediction and Intervention Problems in Social Systems (Simons Institute, 2026)2026-01-12
Defines a frequentist online model where each day a human and an AI exchange short probability or action messages, observe the outcome, and algorithms enforce…
Talk on
High Dimensional Calibration for Rational Decision MakingOnline and Matching-Based Market Design 20232023-10-26
Provides an algorithm that produces d‑dimensional forecasts whose worst‑case bias grows like root t (up to a log factor in the number of events) and runs in…
Talk on
Online Adversarial Multicalibration And (Multi)CalibeatingAdversarial Approaches in Machine Learning 20222022-02-17
A unifying framework called online minimax multi-objective optimization converts many adversarial online goals into a zero-sum surrogate game and yields…
Talk on
Online Multivalid Learning: Means, Moments, and Prediction IntervalsITCS 20222022-01-31
Provides algorithms that guarantee group-conditional uncertainty in an adversarial online setting: multi-calibration and 1−δ prediction-interval coverage for…
Talk on
Pipeline InterventionsITCS 20212021-01-06
Layered graphical model where agents follow stochastic transition matrices and a central planner pays convex costs to change those matrices under budget B…
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Testing Differential Privacy with Dual InterpretersOOPSLA 20202020-11-15
An automated tester called DPCheck converts a common DP proof pattern into a hybrid test that combines instrumented concrete traces and symbolic execution…
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Eliciting and Enforcing Subjective Individual FairnessRecent Developments in Research on Fairness 20192019-07-08
Proposes an algorithm that enforces pairwise subjective similarity constraints without assuming any metric, trading off classification error against the…
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Individual Statistical FairnessBeyond Differential Privacy 20192019-05-06
Shows that minimizing average classification error can systematically exclude a minority group even when that group is more qualified, and proposes a formal…
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On the Power of Interactivity in Local Differential PrivacyPrivacy and the Science of Data Analysis 20192019-04-08
Defines a compositionality parameter K-compositional and proves any fully interactive ε‑DP protocol with that property compiles to a sequentially interactive…
Talk on
Aaron Roth, Associate Professor, University of Pennsylvania, NYC 2017MLconf NYC 20172017-03-24
Shows that concrete privacy failures (AOL, Netflix, genomic reidentification) motivate differential privacy, a formal guarantee where randomized algorithms…
Talk on
How Well Do Prices Coordinate MarketsComplexity and Simplicity in Economics (Simons Institute workshop, 2015)2015-10-12
Price vectors are tested as coordinators: minimal Walrasian prices can leave many buyers indifferent, so a genericity condition (valuations linearly…
Talk
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