Sotabase

Career

· Research Scientist, Google2019–
· Research Assistant, UC Berkeley2014–2019
· Doctor of Philosophy - PhD, EECS, University of California, Berkeley2014–2019
· Research Assistant, CSAIL, MIT2011–2014
· Software Engineering Intern, Facebook2011–2011
· Master's Degree, Computer Science, M.I.T.2011–2014
· Participant, Google Summer of Code2010–2010
· Software Engineering Intern, Intuit2009–2009
· Research Assistant, RADLab, UC Berkeley2009–2010
· Lead Programmer, RSSP-IT2009–2010
· BA and BS, Computer Science and Mechanical Engineering, University of California, Berkeley2006–2010

Publications (68)

Machine Learning Classification over Encrypted Data
Network and Distributed System Security Symposium · 2015
753
cited
Speedy transactions in multicore in-memory databases
Symposium on Operating Systems Principles · 2013
628
cited
On the Sample Complexity of the Linear Quadratic Regulator
Foundations of Computational Mathematics · 2017
605
cited
Low-rank Solutions of Linear Matrix Equations via Procrustes Flow
International Conference on Machine Learning · 2015
400
cited
Processing Analytical Queries over Encrypted Data
Proceedings of the VLDB Endowment · 2013
387
cited
Learning Without Mixing: Towards A Sharp Analysis of Linear System Identification
Annual Conference Computational Learning Theory · 2018
362
cited
Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners
Conference on Robot Learning · 2023
314
cited
Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator
Neural Information Processing Systems · 2018
298
cited
Learning Control Barrier Functions from Expert Demonstrations
IEEE Conference on Decision and Control · 2020
245
cited
Certainty Equivalence is Efficient for Linear Quadratic Control
Neural Information Processing Systems · 2019
219
cited
The Gap Between Model-Based and Model-Free Methods on the Linear Quadratic Regulator: An Asymptotic Viewpoint
Annual Conference Computational Learning Theory · 2018
154
cited
Observational Overfitting in Reinforcement Learning
International Conference on Learning Representations · 2019
148
cited
Anti-Caching: A New Approach to Database Management System Architecture
Proceedings of the VLDB Endowment · 2013
142
cited
Safely Learning to Control the Constrained Linear Quadratic Regulator
American Control Conference · 2018
138
cited
Fast Databases with Fast Durability and Recovery Through Multicore Parallelism
USENIX Symposium on Operating Systems Design and Implementation · 2014
136
cited
Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator
International Conference on Machine Learning · 2017
136
cited
Learning Stability Certificates from Data
Conference on Robot Learning · 2020
105
cited
From self-tuning regulators to reinforcement learning and back again
IEEE Conference on Decision and Control · 2019
90
cited
Certainty Equivalent Control of LQR is Efficient
arXiv.org · 2019
74
cited
Non-Asymptotic Analysis of Robust Control from Coarse-Grained Identification
arXiv.org · 2017
73
cited
Sotabase