publications.md

layout	title	description	group
page	Publications	A list of my publications.	navigation

{% include JB/setup %}

Diagnosing Machine Learning Pipelines with Fine-grained Lineage

Z. Zhang, E. R. Sparks, M. J. Franklin\ To appear, HPDC, 2017

Random projection design for scalable implicit smoothing of randomly observed stochastic processes

F. Belletti, E. R. Sparks, A. Bayen, J. Gonzalez\ AISTATS, 2017

KeystoneML: Optimizing Pipelines for Large-Scale Advanced Analytics

E. R. Sparks, S. Venkataraman, T. Kaftan, M. Franklin, B. Recht\ ICDE, 2017 website

Paleo: A Performance Model for Deep Neural Networks

H. Qi, E. R. Sparks, A. Talwalkar\ ICLR, 2017 website

End-to-end Large Scale Machine Learning with KeystoneML

E. R. Sparks\ UC Berkeley Ph.D. Thesis, 2016

Scalable Linear Causal Inference for Irregularly Sampled Time Series with Long Range Dependencies

F. Belletti, E. R. Sparks, M. Franklin, A. Bayen, J.E. Gonzalez\ NIPS Time Seriews Workshop, 2016

Embarassingly parallel time series analysis for large scale weak memory systems

F. Belletti, E. R. Sparks, M. Franklin, A. Bayen\ pre-print, 2016

Matrix Computations and Optimization in Apache Spark

R. B. Zadeh, X. Meng, B. Yavuz, A. Staple, L. Pu, S. Venkataraman, E. R. Sparks, A. Ulanov, M. Zaharia\ KDD, 2016

MLlib: Machine Learning in Apache Spark

X. Meng, J. Bradley, B. Yavuz, E. R. Sparks, S. Venkataraman, D. Liu, J. Freeman, D. Tsai, M. Amde, S. Owen, D. Xin, R. Xin, M. J. Franklin, R. Zadeh, M. Zaharia, A. Talwalkar\ JMLR-MLOSS, 2015 website

Scientific Computing Meets Big Data Technology: An Astronomy Use Case

Z. Zhang, K. Barbary, F. A. Nothaft, E. R. Sparks, O. Zahn, M. J. Franklin, D. A. Patterson, S. Perlmutter\ IEEE Big Data, 2015

Automating Model Search for Large Scale Machine Learning

E. R. Sparks, A. Talwalkar, D. Haas, M. J. Franklin, M. I. Jordan, T. Kraska\ SoCC, 2015

Scalable Automated Model Search

E. R. Sparks\ UC Berkeley Masters Thesis, 2014

MLI: An API for Distributed Machine Learning

E. R. Sparks, A. Talwalkar, V. Smith, J. Kottalam, X. Pan, J. Gonzalez, M. Franklin, M. Jordan, T. Kraska\ ICDM, 2013

MLbase: A Distributed Machine Learning Wrapper

A. Talwalkar, T. Kraska, R. Griffith, J. Duchi, J. Gonzalez, D. Britz, X. Pan, V. Smith, E. R. Sparks, A. Wibisono, M. J. Franklin, M. I. Jordan\ Big Learning Workshop at NIPS, 2012

TOCTOU, Traps, and Trusted Computing

S. Bratus, N. D'Cunha, E. R. Sparks, S. Smith\ Trusted Computing - Challenges and Applications, 2008

A Security Assessment of Trusted Platform Modules

E. R. Sparks\ Dartmouth College TR2007-597, 2007