Palma London

According to our database, Palma London authored at least 10 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

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

2020

Speeding up Linear Programming using Randomized Linear Algebra.

Agniva Chowdhury, Palma London, Haim Avron, Petros Drineas

CoRR, 2020

Faster Randomized Infeasible Interior Point Methods for Tall/Wide Linear Programs.

Agniva Chowdhury, Palma London, Haim Avron, Petros Drineas

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Logarithmic Communication for Distributed Optimization in Multi-Agent Systems.

Palma London, Shai Vardi, Adam Wierman

Proc. ACM Meas. Anal. Comput. Syst., 2019

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

A Parallelizable Acceleration Framework for Packing Linear Programs.

Palma London, Shai Vardi, Adam Wierman, Hanling Yi

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Distributed Optimization via Local Computation Algorithms.

Palma London, Niangjun Chen, Shai Vardi, Adam Wierman

SIGMETRICS Perform. Evaluation Rev., 2017

2016

Joint Data Purchasing and Data Placement in a Geo-Distributed Data Market.

Xiaoqi Ren, Palma London, Juba Ziani, Adam Wierman

Proceedings of the 2016 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Science, 2016

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

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