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Palma London
Title
Cited by
Cited by
Year
Node-based learning of multiple Gaussian graphical models
K Mohan, P London, M Fazel, D Witten, SI Lee
The Journal of Machine Learning Research 15 (1), 445-488, 2014
1992014
Learning graphical models with hubs
KM Tan, P London, K Mohan, SI Lee, M Fazel, D Witten
arXiv preprint arXiv:1402.7349, 2014
982014
Datum: Managing data purchasing and data placement in a geo-distributed data market
X Ren, P London, J Ziani, A Wierman
IEEE/ACM Transactions on Networking 26 (2), 893-905, 2018
302018
Joint data purchasing and data placement in a geo-distributed data market
X Ren, P London, J Ziani, A Wierman
Proceedings of the 2016 ACM SIGMETRICS International Conference on …, 2016
102016
Distributed optimization via local computation algorithms
P London, N Chen, S Vardi, A Wierman
ACM SIGMETRICS Performance Evaluation Review 45 (2), 30-32, 2017
92017
Faster randomized infeasible interior point methods for tall/wide linear programs
A Chowdhury, P London, H Avron, P Drineas
Advances in Neural Information Processing Systems 33, 8704-8715, 2020
62020
Speeding up linear programming using randomized linear algebra
A Chowdhury, P London, H Avron, P Drineas
arXiv preprint arXiv:2003.08072, 2020
52020
Logarithmic communication for distributed optimization in multi-agent systems
P London, S Vardi, A Wierman
Proceedings of the ACM on Measurement and Analysis of Computing Systems 3 (3 …, 2019
52019
A parallelizable acceleration framework for packing linear programs
P London, S Vardi, A Wierman, H Yi
Association for the Advancement of Artificial Intelligence (AAAI), 3706-3713, 2018
52018
Black-Box Acceleration of Monotone Convex Program Solvers
P London, S Vardi, R Eghbali, A Wierman
Operations Research, 2022
2022
Faster Randomized Interior Point Methods for Tall/Wide Linear Programs
A Chowdhury, G Dexter, P London, H Avron, P Drineas
Journal of Machine Learning Research 23 (336), 1-48, 2022
2022
Frameworks for High Dimensional Convex Optimization
PAN London
California Institute of Technology, 2021
2021
Logarithmic Communication for Distributed Optimization in Multi-Agent Systems
P London, S Vardi, A Wierman
ACM SIGMETRICS Performance Evaluation Review 48 (1), 97-98, 2020
2020
Distributed Optimization and Data Market Design
PAN London
California Institute of Technology, 2017
2017
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