Sotabase

Career

· Associate Professor of Industrial Engineering and Operations Research, Columbia University2023–
· Assistant Professor of Industrial Engineering and Operations Research, Columbia University2021–2022
· Assistant Professor of Industrial and Systems Engineering, Georgia Institute of Technology2017–2020
· Ph.D. in Computing and Mathematical Sciences, California Institute of Technology2013–2017
· MS in Computer Science, Northwestern University2011–2013
· Former PhD Student, California Institute of Technology
· B.A. in Mathematics and Economics, University of Southern California

Publications (57)

Advances and Open Problems in Federated Learning
Found. Trends Mach. Learn. · 2019
7,730
cited
Influence Maximization in Social Networks When Negative Opinions May Emerge and Propagate
SDM · 2011
408
cited
On the Compatibility of Privacy and Fairness
User Modeling, Adaptation, and Personalization · 2019
173
cited
"I need a better description": An Investigation Into User Expectations For Differential Privacy
Conference on Computer and Communications Security · 2021
104
cited
Truthful Linear Regression
Annual Conference Computational Learning Theory · 2015
63
cited
Accuracy for Sale: Aggregating Data with a Variance Constraint
Information Technology Convergence and Services · 2015
59
cited
Adaptive Learning with Robust Generalization Guarantees
Annual Conference Computational Learning Theory · 2016
58
cited
Privacy and Truthful Equilibrium Selection for Aggregative Games
Workshop on Internet and Network Economics · 2014
58
cited
Speed faults in computation by chemical reaction networks
Distributed computing · 2014
56
cited
What Are the Chances? Explaining the Epsilon Parameter in Differential Privacy
USENIX Security Symposium · 2023
56
cited
Advancing Differential Privacy: Where We Are Now and Future Directions for Real-World Deployment
2023
48
cited
The Role of Differential Privacy in GDPR Compliance
2018
45
cited
Differential Privacy for Growing Databases
Neural Information Processing Systems · 2018
43
cited
Attribute Privacy: Framework and Mechanisms
Conference on Fairness, Accountability and Transparency · 2020
40
cited
Probability 1 computation with chemical reaction networks
Natural Computing · 2014
33
cited
Differentially Private Change-Point Detection
Neural Information Processing Systems · 2018
32
cited
Differentially Private Mixed-Type Data Generation For Unsupervised Learning
arXiv.org · 2019
32
cited
Outlier-Robust Optimal Transport: Duality, Structure, and Statistical Analysis
International Conference on Artificial Intelligence and Statistics · 2021
32
cited
Algorithmic Price Discrimination
ACM-SIAM Symposium on Discrete Algorithms · 2019
31
cited
Mean Estimation with User-level Privacy under Data Heterogeneity
Neural Information Processing Systems · 2023
31
cited
Sotabase
Rachel Cummings | Researcher Profile | Sotabase | Sotabase