Virginia Smith

Virginia Smith

I'm a fifth-year computer science PhD student in the EECS Department at the University of California, Berkeley, where I work jointly with Michael I. Jordan and David Culler as a member of the AMPLab. My research interests are in machine learning and optimization. I am particularly interested in applications that relate to energy and sustainability.


L1-Regularized Distributed Optimization: A Communication-Efficient Primal-Dual Framework.
V. Smith, S. Forte, M. I. Jordan, M. Jaggi
Distributed Optimization with Arbitrary Local Solvers.
C. Ma, J. Konecny, M. Jaggi, V. Smith, M. I. Jordan, P. Richtarik, M. Takac
Refereed Conference or Journal

Going In-Depth: Finding Longform on the Web
V. Smith, M. Connor, I. Stanton
Conference on Knowledge Discovery and Data Mining (KDD '15)
Adding vs. Averaging in Distributed Primal-Dual Optimization
C. Ma*, V. Smith*, M. Jaggi, M. I. Jordan, P. Richtarik, M. Takac
International Conference on Machine Learning (ICML '15)
Communication-Efficient Distributed Dual Coordinate Ascent
M. Jaggi*, V. Smith*, M. Takac, J. Terhorst, S. Krishnan, T. Hofmann, M. I. Jordan
Neural Information Processing Systems (NIPS '14)
MLI: An API for user-friendly distribued machine learning
E. Sparks, A. Talwalkar, V. Smith, X. Pan, J. Gonzalez, T. Kraska, M. I. Jordan, and M. J. Franklin
IEEE International Conference on Data Mining (ICDM '13)
A comparative study of high renewables penetration electricity grids
J. Taneja, V. Smith, D. Culler, and C. Rosenberg
IEEE International Conference on Smart Grid Communications (SmartGridComm '13)
Identifying models of HVAC systems using semiparametric regression
A. Aswani, N. Master, J. Taneja, V. Smith, A. Krioukov, D. Culler, and C. Tomlin
Proceedings of the American Control Conference (ACC '12)
Modeling building thermal response to HVAC zoning
V. Smith, T. Sookoor, and K. Whitehouse
ACM SIGBED Review, 2012.
Refereed Workshop

Classification of sidewalks in street view images
V. Smith, J. Malik, and D. Culler
WiP Workshop at International Green Computing Conference (IGCC '13)
MLbase: A distributed machine learning wrapper
A. Talwalkar, T. Kraska, R. Griffith, J. Duchi, J. Gonzalez, D. Britz, X. Pan, V. Smith, E. Sparks, A. Wibisono, M. J. Franklin, and M. I. Jordan
Big Learning Workshop at Neural Information Processing Systems (NIPS '12)