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2010 – 2019
- 2019
[i3]Neel Guha, Zhecheng Wang, Matt Wytock, Arun Majumdar:
Machine Learning for AC Optimal Power Flow. CoRR abs/1910.08842 (2019)- 2017
- [c9]Matt Wytock, Nicholas Moehle, Stephen P. Boyd:
Dynamic energy management with scenario-based robust MPC. ACC 2017: 2042-2047 - 2016
- [b1]Matt Wytock:
Optimizing Optimization: Scalable Convex Programming with Proximal Operators. Carnegie Mellon University, USA, 2016 - [c8]Po-Wei Wang, Matt Wytock, J. Zico Kolter:
Epigraph projections for fast general convex programming. ICML 2016: 2868-2877 - [c7]Matt Wytock, Steven Diamond, Felix Heide, Stephen P. Boyd:
A New Architecture for Optimization Modeling Frameworks. PyHPC@SC 2016: 36-44 - 2014
- [c6]Matt Wytock, J. Zico Kolter:
Contextually Supervised Source Separation with Application to Energy Disaggregation. AAAI 2014: 486-492 - [c5]Matt Wytock, Srinivasa M. Salapaka, Murti V. Salapaka:
Preventing cascading failures in microgrids with one-sided support vector machines. CDC 2014: 3252-3258 - [c4]Matt Wytock, Suvrit Sra, Jeremy Z. Kolter:
Fast Newton methods for the group fused lasso. UAI 2014: 888-897 - 2013
- [c3]Matt Wytock, J. Zico Kolter:
Large-scale probabilistic forecasting in energy systems using sparse Gaussian conditional random fields. CDC 2013: 1019-1024 - [c2]Matt Wytock, J. Zico Kolter:
Sparse Gaussian Conditional Random Fields: Algorithms, Theory, and Application to Energy Forecasting. ICML (3) 2013: 1265-1273 - [c1]Neel Guha, Matt Wytock:
Course-specific search engines: semi-automated methods for identifying high quality topic-specific corpora. WWW (Companion Volume) 2013: 1247-1252 - [i2]Matt Wytock, J. Zico Kolter:
A Fast Algorithm for Sparse Controller Design. CoRR abs/1312.4892 (2013) - [i1]Matt Wytock, J. Zico Kolter:
Contextually Supervised Source Separation with Application to Energy Disaggregation. CoRR abs/1312.5023 (2013)
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