~/talks

Guy N. Rothblum

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  • ITCS3 editions2021–2023

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who talks about the same things

titleconferencedate
Verifiable Data Science via Interactive ProofsWorkshop on Local Algorithms (WoLA) 20242024-08-05
Work describes concrete interactive‑proof systems that let a lightweight verifier check statistical claims using far fewer samples than re‑running the…
Talk
Constant-Round Arguments from One-Way FunctionsMinimal Complexity Assumptions for Cryptography 20232023-05-01
Assumes only one-way functions and constructs a constant-round doubly-efficient argument for any language with log-space-uniform, polynomial-size circuits of…
Talk on
Decision Making under MiscalibrationITCS 20232023-01-10
Defines a minimax threshold ĵ that minimizes worst-case regret under a bounded miscalibration α and shows closed-form answers for both expected and max…
Talk on
On Interactive Proofs of Proximity with Proof-Oblivious QueriesITCS 20232023-01-10
Authors Oded Goldreich, Guy N. Rothblum and Tal Skverer show a concrete exponential separation between property testing and interactive proofs of proximity…
Talk on
A Multi-Group Approach To Algorithmic FairnessAlgorithmic Aspects of Causal Inference 20222022-03-18
Claims that multi-calibration yields predictors that are calibrated simultaneously over very rich, even exponential, families of overlapping subgroups and that…
Talk on
Sample-based Proofs of ProximityITCS 20222022-01-31
Shows how query-based interactive proofs of proximity convert to sample-based ones with only Q samples and about Q + C communication, using k‑wise independent…
Talk on
On Fairness and Stability in Two-Sided MatchingsITCS 20222022-01-31
Shows that sampling fair hospital orders and running Gale Shapley fails via a 3x3 counterexample where two doctors in one cluster get systematically worse…
Talk
Interactive Proofs for Verifying Machine LearningITCS 20212021-01-06
Defines PAC verification (verifier with sample access plus an interactive prover) and gives concrete separations: realizable thresholds admit order 1/ε…
Talk on
A Multi-Group Perspective on FairnessRecent Developments in Research on Fairness 20192019-07-08
Claims that multi calibration guarantees exist for any class C and that small, efficient predictors can be learned from labeled outcomes; algorithm starts with…
Talk on
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