Node-based learning of multiple Gaussian graphical models. - Karthik Mohan; Palma London; Maryam Fazel; Daniela M. Witten; Su-In Lee (J. Mach. Learn. Res., 2014)

Learning graphical models with hubs. - Kean Ming Tan; Palma London; Karthik Mohan; Su-In Lee; Maryam Fazel; Daniela M. Witten (J. Mach. Learn. Res., 2014)

Joint Data Purchasing and Data Placement in a Geo-Distributed Data Market. - Xiaoqi Ren; Palma London; Juba Ziani; Adam Wierman (SIGMETRICS, 2016)

Distributed Optimization via Local Computation Algorithms. - Palma London; Niangjun Chen; Shai Vardi; Adam Wierman (SIGMETRICS Perform. Evaluation Rev., 2017)

A Parallelizable Acceleration Framework for Packing Linear Programs. - Palma London; Shai Vardi; Adam Wierman; Hanling Yi (AAAI, 2018)

Datum: Managing Data Purchasing and Data Placement in a Geo-Distributed Data Market. - Xiaoqi Ren; Palma London; Juba Ziani; Adam Wierman (IEEE/ACM Trans. Netw., 2018)

Logarithmic Communication for Distributed Optimization in Multi-Agent Systems. - Palma London; Shai Vardi; Adam Wierman (Proc. ACM Meas. Anal. Comput. Syst., 2019)

Faster Randomized Infeasible Interior Point Methods for Tall/Wide Linear Programs. - Agniva Chowdhury; Palma London; Haim Avron; Petros Drineas (NeurIPS, 2020)

Speeding up Linear Programming using Randomized Linear Algebra. - Agniva Chowdhury; Palma London; Haim Avron; Petros Drineas (CoRR, 2020)

Frameworks for High Dimensional Convex Optimization. - Palma London (2021)

Faster Randomized Interior Point Methods for Tall/Wide Linear Programs. - Agniva Chowdhury; Gregory Dexter; Palma London; Haim Avron; Petros Drineas (J. Mach. Learn. Res., 2022)

Black-Box Acceleration of Monotone Convex Program Solvers. - Palma London; Shai Vardi; Reza Eghbali; Adam Wierman (Oper. Res., 2024)