Scholar
Shiva Kasiviswanathan
Google Scholar ID: XnHdkZUAAAAJ
Amazon Machine Learning
Machine Learning
Deep Learning
Theoretical Computer Science
Data Privacy
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Citations & Impact
All-time
Citations
4,629
H-index
25
i10-index
40
Publications
20
Co-authors
39
list available
Contact
CV
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Publications
1 items
Debiasing Reward Models by Representation Learning with Guarantees
2025
Cited
0
Resume (English only)
Academic Achievements
- Debiasing Conditional Stochastic Optimization (NeurIPS 2023)
- Thompson Sampling with Diffusion Generative Prior (ICML 2023)
- Subsampled Renyi Differential Privacy and Analytical Moments Accountant (AISTATS 2019, Notable Paper Award)
- Restricted Eigenvalue from Stable Rank with Applications to Sparse Linear Regression (COLT 2018)
- The Price of Privately Releasing Contingency Tables and the Spectra of Random Matrices with Correlated Rows (STOC 2010)
- What Can We Learn Privately? (SICOMP 2011, FOCS 2008)
Research Experience
Principal Applied Scientist at Amazon, Bay Area, California
Background
Machine Learning, Deep Learning, Data Privacy, Causal Inference, Design and Analysis of Algorithms
Co-authors
39 total
Adam Smith
Professor of Computer Science, Boston University
Kobbi Nissim
Dept. of Computer Science (Georgetown)
Sofya Raskhodnikova
Boston University
Co-author 4
Nina Narodytska
VMware Research
Hongxia Jin
Samsung Research America
Co-author 7
Co-author 8
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