Sotabase

Career

· Assistant Professor of Management Science and Engineering, Stanford University2022–
· Associate Professor of Operations Research and Information Engineering, Cornell University2016–2022
· Postdoctoral Researcher, Caltech2015–2016
· PhD, Computational and Mathematical Engineering, Stanford University2009–2015
· BS, Mathematics and Physics, Yale University2005–2009

Publications (98)

Generalized Low Rank Models
Found. Trends Mach. Learn. · 2014
362
cited
Fairness Under Unawareness: Assessing Disparity When Protected Class Is Unobserved
FAT · 2018
255
cited
Why Are Big Data Matrices Approximately Low Rank?
SIAM Journal on Mathematics of Data Science · 2017
246
cited
Practical Sketching Algorithms for Low-Rank Matrix Approximation
SIAM Journal on Matrix Analysis and Applications · 2016
237
cited
Convex Optimization in Julia
2014 First Workshop for High Performance Technical Computing in Dynamic Languages · 2014
171
cited
Scalable Semidefinite Programming
SIAM Journal on Mathematics of Data Science · 2019
130
cited
"Why Should You Trust My Explanation?" Understanding Uncertainty in LIME Explanations
2019
117
cited
OBOE: Collaborative Filtering for AutoML Model Selection
Knowledge Discovery and Data Mining · 2018
110
cited
Streaming Low-Rank Matrix Approximation with an Application to Scientific Simulation
SIAM Journal on Scientific Computing · 2019
108
cited
Sketchy Decisions: Convex Low-Rank Matrix Optimization with Optimal Storage
International Conference on Artificial Intelligence and Statistics · 2017
98
cited
Learning to Solve Combinatorial Optimization Problems on Real-World Graphs in Linear Time
International Conference on Machine Learning and Applications · 2020
96
cited
Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data
Neural Information Processing Systems · 2017
88
cited
Low-Rank Tucker Approximation of a Tensor From Streaming Data
SIAM Journal on Mathematics of Data Science · 2019
84
cited
Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery
Neural Information Processing Systems · 2019
82
cited
Dynamic Assortment Personalization in High Dimensions
Operational Research · 2016
75
cited
Causal Inference with Noisy and Missing Covariates via Matrix Factorization
Neural Information Processing Systems · 2018
66
cited
Maximizing a Sum of Sigmoids
2014
59
cited
Disciplined multi-convex programming
Chinese Control and Decision Conference · 2016
56
cited
Missing Value Imputation for Mixed Data via Gaussian Copula
Knowledge Discovery and Data Mining · 2019
52
cited
An Optimal-Storage Approach to Semidefinite Programming using Approximate Complementarity
SIAM Journal on Optimization · 2019
44
cited
Sotabase
Madeleine Udell | Researcher Profile | Sotabase | Sotabase