Large-scale probabilistic forecasting in energy systems using sparse Gaussian conditional random fields. - Matt Wytock; J. Zico Kolter (CDC, 2013)

Sparse Gaussian Conditional Random Fields: Algorithms, Theory, and Application to Energy Forecasting. - Matt Wytock; J. Zico Kolter (ICML (3), 2013)

Course-specific search engines: semi-automated methods for identifying high quality topic-specific corpora. - Neel Guha; Matt Wytock (WWW (Companion Volume), 2013)

A Fast Algorithm for Sparse Controller Design. - Matt Wytock; J. Zico Kolter (CoRR, 2013)

Contextually Supervised Source Separation with Application to Energy Disaggregation. - Matt Wytock; J. Zico Kolter (AAAI, 2014)

Preventing cascading failures in microgrids with one-sided support vector machines. - Matt Wytock; Srinivasa M. Salapaka; Murti V. Salapaka (CDC, 2014)

Fast Newton methods for the group fused lasso. - Matt Wytock; Suvrit Sra; Jeremy Z. Kolter (UAI, 2014)

Epigraph projections for fast general convex programming. - Po-Wei Wang; Matt Wytock; J. Zico Kolter (ICML, 2016)

A New Architecture for Optimization Modeling Frameworks. - Matt Wytock; Steven Diamond; Felix Heide; Stephen P. Boyd (PyHPC@SC, 2016)

Optimizing Optimization: Scalable Convex Programming with Proximal Operators. - Matt Wytock (2016)

Dynamic energy management with scenario-based robust MPC. - Matt Wytock; Nicholas Moehle; Stephen P. Boyd (ACC, 2017)

Machine Learning for AC Optimal Power Flow. - Neel Guha; Zhecheng Wang; Matt Wytock; Arun Majumdar (CoRR, 2019)