Sequential Stochastic Network Structure Optimization with Applications to Addressing Canada's Obesity Epidemic. - Nicholas A. G. Johnson (CoRR, 2021)

Concave Pro-rata Games. - Nicholas A. G. Johnson; Theo Diamandis; Alex Evans; Henry de Valence; Guillermo Angeris (FC Workshops, 2023)

Sparse Plus Low Rank Matrix Decomposition: A Discrete Optimization Approach. - Dimitris Bertsimas; Ryan Cory-Wright; Nicholas A. G. Johnson (J. Mach. Learn. Res., 2023)

ROptimus: a parallel general-purpose adaptive optimization engine. - Nicholas A. G. Johnson; Liezel Tamon; Xin Liu; Aleksandr B. Sahakyan (Bioinform., 2023)

Predictive Low Rank Matrix Learning under Partial Observations: Mixed-Projection ADMM. - Dimitris Bertsimas; Nicholas A. G. Johnson (CoRR, 2024)

Compressed sensing: a discrete optimization approach. - Dimitris Bertsimas; Nicholas A. G. Johnson (Mach. Learn., 2024)