Matt Wytock

According to our database, Matt Wytock authored at least 12 papers between 2013 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Machine Learning for AC Optimal Power Flow.

Neel Guha, Zhecheng Wang, Matt Wytock, Arun Majumdar

CoRR, 2019

2017

Dynamic energy management with scenario-based robust MPC.

Matt Wytock, Nicholas Moehle, Stephen P. Boyd

Proceedings of the 2017 American Control Conference, 2017

2016

Optimizing Optimization: Scalable Convex Programming with Proximal Operators.

Matt Wytock

PhD thesis, 2016

A New Architecture for Optimization Modeling Frameworks.

Matt Wytock, Steven Diamond, Felix Heide, Stephen P. Boyd

Proceedings of the 6th Workshop on Python for High-Performance and Scientific Computing, 2016

Epigraph projections for fast general convex programming.

Po-Wei Wang, Matt Wytock, J. Zico Kolter

Proceedings of the 33nd International Conference on Machine Learning, 2016

2014

Fast Newton methods for the group fused lasso.

Matt Wytock, Suvrit Sra, Jeremy Z. Kolter

Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Preventing cascading failures in microgrids with one-sided support vector machines.

Matt Wytock, Srinivasa M. Salapaka, Murti V. Salapaka

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Contextually Supervised Source Separation with Application to Energy Disaggregation.

Matt Wytock, J. Zico Kolter

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

A Fast Algorithm for Sparse Controller Design.

Matt Wytock, J. Zico Kolter

CoRR, 2013

Course-specific search engines: semi-automated methods for identifying high quality topic-specific corpora.

Neel Guha, Matt Wytock

Proceedings of the 22nd International World Wide Web Conference, 2013

Sparse Gaussian Conditional Random Fields: Algorithms, Theory, and Application to Energy Forecasting.

Matt Wytock, J. Zico Kolter

Proceedings of the 30th International Conference on Machine Learning, 2013

Large-scale probabilistic forecasting in energy systems using sparse Gaussian conditional random fields.

Matt Wytock, J. Zico Kolter

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013