Sotabase

Career

· Board President (ICML), International Machine Learning Society (Current)2025–
· Research Scientist Director, Meta2024–
· Professor, UC San Diego2022–2024
· Research Scientist, Facebook AI2021–2024
· Associate Professor, UC San Diego2017–2022
· Visiting Scientist, Microsoft Research2014–2014
· Assistant Professor, UC San Diego2010–2017
· Postdoc, UC San Diego2007–2010
· Intern, Microsoft2006–2006
· Intern, IBM2005–2005
· Intern, Hewlett-Packard2004–2004
· Ph.D, University of California, Berkeley2002–2007
· Intern, INRIA2001–2001
· B.Tech, Indian Institute of Technology, Kanpur1998–2002

Publications (173)

Differentially Private Empirical Risk Minimization
Journal of machine learning research · 2009
1,558
cited
Multi-view clustering via canonical correlation analysis
International Conference on Machine Learning · 2009
830
cited
Stochastic gradient descent with differentially private updates
IEEE Global Conference on Signal and Information Processing · 2013
732
cited
Privacy-preserving logistic regression
Neural Information Processing Systems · 2008
680
cited
Privacy, accuracy, and consistency too: a holistic solution to contingency table release
ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems · 2007
549
cited
Approximate Data Deletion from Machine Learning Models: Algorithms and Evaluations
International Conference on Artificial Intelligence and Statistics · 2020
327
cited
A Closer Look at Accuracy vs. Robustness
Neural Information Processing Systems · 2020
319
cited
Spectral Clustering of Graphs with General Degrees in the Extended Planted Partition Model
Annual Conference Computational Learning Theory · 2012
239
cited
Bolt-on Differential Privacy for Scalable Stochastic Gradient Descent-based Analytics
SIGMOD Conference · 2016
234
cited
Location determination of a mobile device using IEEE 802.11b access point signals
2003 IEEE Wireless Communications and Networking, 2003. WCNC 2003. · 2003
213
cited
Signal Processing and Machine Learning with Differential Privacy: Algorithms and Challenges for Continuous Data
IEEE Signal Processing Magazine · 2013
197
cited
Paths, trees, and minimum latency tours
44th Annual IEEE Symposium on Foundations of Computer Science, 2003. Proceedings. · 2003
188
cited
Selfish caching in distributed systems: a game-theoretic analysis
ACM SIGACT-SIGOPS Symposium on Principles of Distributed Computing · 2004
188
cited
Exploring Connections Between Active Learning and Model Extraction
USENIX Security Symposium · 2018
181
cited
Near-Optimal Algorithms for Differentially-Private Principal Components
arXiv.org · 2012
168
cited
Near-optimal Differentially Private Principal Components
Neural Information Processing Systems · 2012
163
cited
Pufferfish Privacy Mechanisms for Correlated Data
SIGMOD Conference · 2016
163
cited
Sample Complexity Bounds for Differentially Private Learning
Annual Conference Computational Learning Theory · 2011
160
cited
Analyzing the Robustness of Nearest Neighbors to Adversarial Examples
International Conference on Machine Learning · 2017
159
cited
Rates of Convergence for Nearest Neighbor Classification
Neural Information Processing Systems · 2014
153
cited
Sotabase
Kamalika Chaudhuri | Researcher Profile | Sotabase | Sotabase