Krishna Pillutla

<last-name> <AT> cs <DOT> washington <DOT> edu

I am a PhD student in the Paul G. Allen School of Computer Science & Engineering at the University of Washington. I am fortunate to be advised by Sham Kakade.

My research goals are to design and analyze practical machine learning techniques with provable guarantees, particularly in the large scale setting.

Previously, I worked with Nina Balcan for my Master's at Carnegie Mellon University. Before that, I spent 4 wonderful years as an undergrad at IIT Bombay.

Outside of academics, I'm passionate about getting out to the mountains to hike/backpack, playing basketball, playing the guitar, and salsa dancing.

My Research
pics/pic1.jpg

Publications/Talks/Posters/MANUSCRIPTS

Data Driven Resource Allocation for Distributed Learning

with Travis Dick, Mu Li, Colin White, Nina Balcan, Alex Smola in AISTATS 2017.
[Arxiv]

On Skewed Multi-Dimensional Distributions: the FusionRP Model, Algorithms and Discoveries

with Zhanpeng Fang, Pravallika Devineni, Danai Koutra, Jie Tang, Christos Faloutsos in
SIAM International Conference on Data Mining (SDM), 2016 .

Master's Thesis: Data Driven Resource Allocation For Distributed Machine Learning

Thesis Committee: Nina Balcan, Alex Smola, Christos Faloutsos
[pdf Slides]

Music

I'm interested in the fusion of Western Music with Indian Classical Music. My wonderful grandmother plays the Veena - we have a blast making some fusion music. For more, check out my YouTube channel.

Some improvization over a composition of mine.

Jazzed up version of a Carnatic Classic, Raghuvamsa Sudha.

A mash up of Coldplay's Fix You with the Indian song Jiyen Kyun.