Stephen Tu
Stephen Tu
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Machine learning classification over encrypted data.
R Bost, RA Popa, S Tu, S Goldwasser
NDSS 4324, 4325, 2015
5792015
Processing analytical queries over encrypted data
SL Tu, MF Kaashoek, SR Madden, N Zeldovich
Association for Computing Machinery (ACM), 2013
3912013
Speedy transactions in multicore in-memory databases
S Tu, W Zheng, E Kohler, B Liskov, S Madden
Proceedings of the Twenty-Fourth ACM Symposium on Operating Systems …, 2013
3432013
Low-rank solutions of linear matrix equations via procrustes flow
S Tu, R Boczar, M Simchowitz, M Soltanolkotabi, B Recht
arXiv preprint arXiv:1507.03566, 2015
2992015
On the sample complexity of the linear quadratic regulator
S Dean, H Mania, N Matni, B Recht, S Tu
Foundations of Computational Mathematics, 1-47, 2019
2512019
Learning without mixing: Towards a sharp analysis of linear system identification
M Simchowitz, H Mania, S Tu, MI Jordan, B Recht
Conference On Learning Theory, 439-473, 2018
1422018
Regret bounds for robust adaptive control of the linear quadratic regulator
S Dean, H Mania, N Matni, B Recht, S Tu
arXiv preprint arXiv:1805.09388, 2018
1282018
Anti-caching: A new approach to database management system architecture
J DeBrabant, A Pavlo, S Tu, M Stonebraker, S Zdonik
Proceedings of the VLDB Endowment 6 (14), 1942-1953, 2013
1242013
Fast databases with fast durability and recovery through multicore parallelism
W Zheng, S Tu, E Kohler, B Liskov
11th {USENIX} Symposium on Operating Systems Design and Implementation …, 2014
1082014
The gap between model-based and model-free methods on the linear quadratic regulator: An asymptotic viewpoint
S Tu, B Recht
Conference on Learning Theory, 3036-3083, 2019
782019
Least-squares temporal difference learning for the linear quadratic regulator
S Tu, B Recht
International Conference on Machine Learning, 5005-5014, 2018
752018
Safely learning to control the constrained linear quadratic regulator
S Dean, S Tu, N Matni, B Recht
2019 American Control Conference (ACC), 5582-5588, 2019
682019
Cyclades: Conflict-free asynchronous machine learning
X Pan, M Lam, S Tu, D Papailiopoulos, C Zhang, MI Jordan, ...
arXiv preprint arXiv:1605.09721, 2016
552016
The HipHop compiler for PHP
H Zhao, I Proctor, M Yang, X Qi, M Williams, Q Gao, G Ottoni, A Paroski, ...
ACM SIGPLAN Notices 47 (10), 575-586, 2012
552012
Non-asymptotic analysis of robust control from coarse-grained identification
S Tu, R Boczar, A Packard, B Recht
arXiv preprint arXiv:1707.04791, 2017
482017
Certainty equivalent control of lqr is efficient
H Mania, S Tu, B Recht
arXiv preprint arXiv:1902.07826, 2019
432019
From self-tuning regulators to reinforcement learning and back again
N Matni, A Proutiere, A Rantzer, S Tu
2019 IEEE 58th Conference on Decision and Control (CDC), 3724-3740, 2019
372019
The dirichlet-multinomial and dirichlet-categorical models for bayesian inference
S Tu
362014
Large scale kernel learning using block coordinate descent
S Tu, R Roelofs, S Venkataraman, B Recht
arXiv preprint arXiv:1602.05310, 2016
342016
Certainty equivalence is efficient for linear quadratic control
H Mania, S Tu, B Recht
arXiv preprint arXiv:1902.07826, 2019
332019
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Articles 1–20