Nicholas A. G. Johnson

11 papers Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Sparse Multiple Kernel Learning: Alternating Best Response and Semidefinite Relaxations. CoRR Dimitris Bertsimas, Caio de Prospero Iglesias, Nicholas A. G. Johnson
2025	J	`jnl`	Sparse Multiple Kernel Learning: Alternating Best Response and Semidefinite Relaxations. Trans. Mach. Learn. Res. Dimitris Bertsimas, Caio de Prospero Iglesias, Nicholas A. G. Johnson
2024	J	`jnl`	Compressed sensing: a discrete optimization approach. Mach. Learn. Dimitris Bertsimas, Nicholas A. G. Johnson
2024	J	`jnl`	Predictive Low Rank Matrix Learning under Partial Observations: Mixed-Projection ADMM. CoRR Dimitris Bertsimas, Nicholas A. G. Johnson
2023	J	`jnl`	Compressed Sensing: A Discrete Optimization Approach. CoRR Dimitris Bertsimas, Nicholas A. G. Johnson
2023	—	`conf`	Concave Pro-rata Games. FC Workshops Nicholas A. G. Johnson, Theo Diamandis, Alex Evans, Henry de Valence, Guillermo Angeris
2023	J	`jnl`	Concave Pro-rata Games. CoRR Nicholas A. G. Johnson, Theo Diamandis, Alex Evans, Henry de Valence, Guillermo Angeris
2023	J	`jnl`	ROptimus: a parallel general-purpose adaptive optimization engine. Bioinform. Nicholas A. G. Johnson, Liezel Tamon, Xin Liu, Aleksandr B. Sahakyan
2023	J	`jnl`	Sparse Plus Low Rank Matrix Decomposition: A Discrete Optimization Approach. J. Mach. Learn. Res. Dimitris Bertsimas, Ryan Cory-Wright, Nicholas A. G. Johnson
2021	J	`jnl`	Sequential Stochastic Network Structure Optimization with Applications to Addressing Canada's Obesity Epidemic. CoRR Nicholas A. G. Johnson
2021	J	`jnl`	Sparse Plus Low Rank Matrix Decomposition: A Discrete Optimization Approach. CoRR Dimitris Bertsimas, Ryan Cory-Wright, Nicholas A. G. Johnson