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Shay Moran

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  • ITCS2 editions2021–2022

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titleconferencedate
Extending Generalization Theory Towards Addressing Modern Challenges in Machine LearningLower Bounds, Learning, and Average-Case Complexity2023-02-13
Main claim: any 0/1 infinite game that violates the Minimax equality contains arbitrarily large copies of Jewish poker, i.e. arbitrarily large triangular…
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Uniform brackets, containers, and combinatorial Macbeath regionsITCS 20222022-01-31
Shows an equivalence: having ε‑containers or λ‑heavy ε M‑nets for both a set system and its complement suffices to produce uniform ε‑brackets, and vice versa…
Talk
The entropy of lies: playing twenty questions with a liarITCS 20212021-01-06
Distributional 20 Questions with up to K lies requires on average H(mu) + K·H2(mu) yes/no queries, where H(mu) + K·H2(mu) is tight (matching lower bound up to…
Talk
Open Problem SessionPrivacy and the Science of Data Analysis 20192019-04-08
Nine eight-minute open problems present concrete conjectures, partial results and explicit gaps: a private VC equivalence conjecture linking private uniform…
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Towards a Characterization of Differentially Private LearningPrivacy and the Science of Data Analysis 20192019-04-08
Shows that private PAC learnability implies a finite Littlestone dimension and that private proper learning is equivalent to private uniform convergence…
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Internal Compression of Protocols to EntropyInformation Theory in Complexity Theory and Combinatorics 20152015-04-24
Claims an interactive compression method that matches external entropy up to a constant (empirically about 1.82), and an internal compression that replaces the…
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