Papers

Papers below are listed by year of publication, or by year of submission before they are published.

For list of papers ordered by citation count, please see my google scholar profile.

Optimal Design of Efficient Rooftop Photovoltaic Arrays
M. Udell and O. Toole
Submitted, 2017
Finalist for Doing Good with Good OR Paper Competition, INFORMS 2017
[pdf][bib]

Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data
J. Tropp, A. Yurtsever, M. Udell, and V. Cevher
Advances in Neural Information Processing Systems, 2017
[arxiv][bib]

Nice Latent Variable Models Have Log-Rank
M. Udell and A. Townsend
arXiv preprint arXiv:1705.07474, 2017
[arxiv][bib]

Graph-Regularized Generalized Low Rank Models
M. Paradkar and M. Udell
CVPR Workshop on Tensor Methods in Computer Vision, 2017
[pdf][bib]

Sketchy Decisions: Convex Low-Rank Matrix Optimization with Optimal Storage
A. Yurtsever, M. Udell, J. Tropp, and V. Cevher
International Conference on Artificial Intelligence and Statistics (AISTATS), 2017
Oral Presentation
[arxiv][bib][video]

Disciplined Multi-Convex Programming
X. Shen, S. Diamond, M. Udell, Y. Gu, and S. Boyd
Chinese Control and Decision Conference (CCDC), 2017
Best Student Paper
[arxiv][bib]

Dynamic Assortment Personalization in High Dimensions
N. Kallus and M. Udell
arXiv preprint arXiv:1610.05604, 2016
[arxiv][bib]

Randomized Single-View Algorithms for Low-Rank Matrix Approximation
J. Tropp, A. Yurtsever, M. Udell, and V. Cevher
arXiv preprint arXiv:1609.00048, 2016
[arxiv][bib]

The Sound of APALM Clapping: Faster Nonsmooth Nonconvex Optimization with Stochastic Asynchronous PALM
D. Davis, B. Edmunds, and M. Udell
Advances in Neural Information Processing Systems, 2016
[arxiv][pdf][bib]

Discovering Patient Phenotypes Using Generalized Low Rank Models
A. Schuler, V. Liu, J. Wan, A. Callahan, M. Udell, D. Stark, and N. Shah
Pacific Symposium on Biocomputing (PSB), 2016
[pdf][url][bib]

Revealed Preference at Scale: Learning Personalized Preferences from Assortment Choices
N. Kallus and M. Udell
The 2016 ACM Conference on Economics and Computation, 2016
[url][bib]

Learning Preferences from Assortment Choices in a Heterogeneous Population
N. Kallus and M. Udell
ICML Workshop on Computational Frameworks for Personalization, 2016
[arxiv][bib]

Generalized Low Rank Models
M. Udell, C. Horn, R. Zadeh, and S. Boyd
Foundations and Trends in Machine Learning, 2016
[arxiv][pdf][url][slides][code][bib]

Bounding Duality Gap for Separable Problems with Linear Constraints
M. Udell and S. Boyd
Computational Optimization and Applications, 2016
[arxiv][url][bib]

Generalized Low Rank Models
M. Udell
Stanford University Thesis, 2015
[pdf][code][bib]

Revenue Maximization for Broadband Service Providers Using Revenue Capacity
H. Mehmood, M. Udell, and J. Cioffi
IEEE Global Communications Conference, 2015
[pdf][bib]

PCA on a Data Frame
M. Udell and S. Boyd
2015
[pdf][code][bib]

Factorization for Analog-to-Digital Matrix Multiplication
E. Lee, M. Udell, and S. Wong
ICASSP, 2015
[pdf][url][bib]

Beyond Principal Component Analysis (PCA)
M. Udell and S. Boyd
Biomedical Computation Review, 2014
[pdf][url][bib]

Convex Optimization in Julia
M. Udell, K. Mohan, D. Zeng, J. Hong, S. Diamond, and S. Boyd
SC14 Workshop on High Performance Technical Computing in Dynamic Languages, 2014
[arxiv][code][bib]

Generalized Low Rank Models
M. Udell, C. Horn, R. Zadeh, and S. Boyd
NIPS Workshop on Distributed Machine Learning and Matrix Computations, 2014
[pdf][code][bib]

Maximizing a Sum of Sigmoids
M. Udell and S. Boyd
2013
[pdf][code][bib]

Linear Bandits, Matrix Completion, and Recommendation Systems
M. Udell and R. Takapoui
NIPS Workshop on Large Scale Matrix Analysis and Inference, 2013
[pdf][bib]

Analyzing Patterns of Drug Use in Clinical Notes for Patient Safety
P. LePendu, Y. Liu, S. Iyer, M. Udell, and N. Shah
Proceedings of the AMIA Summits on Translational Science, 2012
[pdf][url][bib]