The limit points of (optimistic) gradient descent in min-max optimization por Daskalakis, C, Panageas, I

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Optimal stopping rules for sequential hypothesis testing por Daskalakis, C, Kawase, Y

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Last-iterate convergence: Zero-sum games and constrained min-max optimization por Daskalakis, C, Panageas, I

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Hogwild!-Gibbs can be panaccurate por Daskalakis, C, Dikkala, N, Jayanti, S

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Learning k-modal distributions via testing por Daskalakis, C, Diakonikolas, I, Servedio, RA

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Optimum statistical estimation with strategic data sources por Cai, Y, Daskalakis, C, Papadimitriou, C

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Concentration of multilinear functions of the ising model with applications to network data por Daskalakis, C, Dikkala, N, Kamath, G

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Priv'IT: Private and sample efficient identity testing por Cai, B, Daskalakis, C, Kamath, G

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Which distribution distances are sublinearly testable? por Daskalakis, C, Kamath, G, Wright, J

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Bootstrapping EM via power EM and convergence in the naive bayes model por Daskalakis, C, Tzamos, C, Zampetakis, M

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Testing ising models por Daskalakis, C, Dikkala, N, Kamath, G

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Learning and testing causal models with interventions por Acharya, J, Bhattacharyya, A, Daskalakis, C, Kandasamy, S

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Combination of vandetanib, radiotherapy, and irinotecan in the LoVo human colorectal cancer xenograft model. por Wachsberger, P, Burd, R, Ryan, A, Daskalakis, C, Dicker, A

Smoothed analysis of discrete tensor decomposition and assemblies of neurons por Anari, N, Daskalakis, C, Maass, W, Papadimitriou, CH, Saberi, A, Vempala, S

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