Palma London

Ph.D. Student
Caltech
Computer Science

Office: Annenberg 237
plondon (at) caltech (dot) edu


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I am a Ph.D. student in the Computer Science department at Caltech, where I am advised by Adam Wierman. Prior to joining Caltech, I received a double B.S. degree in Electrical Engineering and Math at the University of Washington, where I worked with Maryam Fazel. My research interests are generally in convex optimization, distributed algorithms, and machine learning. Here's a link to my CV.

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Publications

A Parallelizable Acceleration Framework for Packing Linear Programs
Palma London, Shai Vardi, Adam Wierman, Hanling Yi.
Association for the Advancement of Artificial Intelligence (AAAI) 2018.

Local Computation Algorithms and Distributed Optimization
Palma London, Niangjun Chen, Shai Vardi, Adam Wierman.
Under submission.

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.

Learning Graphical Models with Hubs
K.M. Tan, P. London, K. Mohan, S.-I. Lee, M. Fazel, D. Witten.
Journal of Machine Learning Research (JMLR), 15(Oct):3297-3331, 2014.

Node-Based Learning of Multiple Gaussian Graphical Models
K. Mohan, P. London, M. Fazel, D. Witten, S.-I. Lee
Journal of Machine Learning Research (JMLR), 15(Feb):445-488, 2014.

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Education

B.S.E.E.   Electrical Engineering,
B.S.           Mathematics, University of Washington, 2014
Currently: Ph.D. Computer Science student at Caltech

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Honors / Awards

NSF Graduate Research Fellowship Program (GRFP)
Outstanding Undergraduate Research Assistant Award, UW EE, 2013
Mary Gates Research Scholarship, 2013

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Artwork and Music

Here's a link to some of my artwork. I play violin, piano, viola, alto sax, and guitar.

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