A Pseudopolynomial Algorithm to Minimize Maximum Lateness on Multiple Related Machines. - Elbert Du; Stan Zhang (CoRR, 2020)

Putting the "Learning" into Learning-Augmented Algorithms for Frequency Estimation. - Elbert Du; Franklyn Wang; Michael Mitzenmacher (ICML, 2021)

Approximate Last Iterate Convergence in Overparameterized GANs. - Elbert Du (CoRR, 2021)

Improved Generalization Guarantees in Restricted Data Models. - Elbert Du; Cynthia Dwork (FORC, 2022)

Separating k-Player from t-Player One-Way Communication, with Applications to Data Streams. - Elbert Du; Michael Mitzenmacher; David P. Woodruff; Guang Yang 020 (Theory Comput., 2023)

Debiasing Functions of Private Statistics in Postprocessing. - Flávio P. Calmon; Elbert Du; Cynthia Dwork; Brian Finley; Grigory Franguridi (FORC, 2025)