Stephen Tu - AI Profile

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Research Scientist

University of California, Berkeley

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Education

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I am currently a research scientist at Google Brain in NYC. I recently completed my PhD in EECS at UC Berkeley advised by Ben Recht. My research interests lie in the intersection of machine learning, optimization, and control theory.

Research Interests

Papers21 papers

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Learning Robust Hybrid Control Barrier Functions for Uncertain Systems

Alexander Robey, Lars Lindemann,Stephen Tu,Nikolai Matni

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Learning Hybrid Control Barrier Functions from Data

Lars Lindemann,Haimin Hu, Alexander Robey, Hanwen Zhang,Dimos V. Dimarogonas,Stephen Tu,Nikolai Matni

Bibtex

On the Sample Complexity of the Linear Quadratic Regulator

Sarah Dean, Horia Mania,Nikolai Matni,Benjamin Recht,Stephen Tu

FOUNDATIONS OF COMPUTATIONAL MATHEMATICS, no. 4.0 (2020): 633.0-679.0

Cited by242EIBibtex

The Gap Between Model-Based and Model-Free Methods on the Linear Quadratic Regulator: An Asymptotic Viewpoint

Stephen Tu,Benjamin Recht

conference on learning theory, (2019)

Cited by73EIBibtex

Safely Learning to Control the Constrained Linear Quadratic Regulator

Sarah Dean,Stephen Tu,Nikolai Matni,Benjamin Recht

advances in computing and communications, (2019)

Cited by63EIBibtex

Finite-time Analysis of Approximate Policy Iteration for the Linear Quadratic Regulator

Karl Krauth,Stephen Tu,Benjamin Recht

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 8512-8522

Cited by15EIBibtex

Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator

Sarah Dean, Horia Mania,Nikolai Matni,Benjamin Recht,Stephen Tu

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), (2018): 4188-4197

Cited by120EIBibtex

Learning Without Mixing: Towards A Sharp Analysis of Linear System Identification

Max Simchowitz, Horia Mania,Stephen Tu,Michael I. Jordan,Benjamin Recht

COLT, (2018): 439-473

Cited by135EIBibtex

Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator

Stephen Tu,Benjamin Recht

international conference on machine learning, (2018)

Cited by75EIBibtex

Breaking Locality Accelerates Block Gauss-Seidel

Stephen Tu,Shivaram Venkataraman,Ashia C. Wilson,Alex Gittens,Michael I. Jordan,Benjamin Recht

ICML, pp.3482-3491, (2017)

Cited by31EIBibtex

CYCLADES: Conflict-free Asynchronous Machine Learning

Xinghao Pan, Maximilian Lam,Stephen Tu,Dimitris S. Papailiopoulos,Ce Zhang,Michael I. Jordan,Kannan Ramchandran,Christopher Ré,Benjamin Recht

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 29 (NIPS 2016), (2016): 2568-2576

Cited by55EIBibtex

Low-rank Solutions of Linear Matrix Equations via Procrustes Flow

Stephen Tu,Ross Boczar,Mahdi Soltanolkotabi,Benjamin Recht

ICML, (2016)

Cited by265EIBibtex

Low-rank solutions of linear matrix equations via procrustes flow

Stephen Tu,Ross Boczar,Max Simchowitz,Mahdi Soltanolkotabi,Benjamin Recht

international conference on machine learning, pp.964-973, (2016)

Cited by291Bibtex

Machine Learning Classification over Encrypted Data

Shafi Goldwasser,Stephen Tu,Raluca Ada Popa, Raphael Bost

network and distributed system security symposium, (2015)

Cited by570Bibtex

Machine Learning Classification over Encrypted Data

Raphael Bost,Raluca Ada Popa,Stephen Tu,Shafi Goldwasser

NDSS, (2015)

Cited by451EIBibtex

Fast databases with fast durability and recovery through multicore parallelism

Wenting Zheng,Stephen Tu,Eddie Kohler,Barbara Liskov

OSDI, pp.465-477, (2014)

Cited by106EIBibtex

Speedy transactions in multicore in-memory databases

Stephen Tu,Wenting Zheng,Eddie Kohler,Barbara Liskov,Samuel Madden

SOSP, pp.18-32, (2013)

Cited by335EIBibtex

Processing analytical queries over encrypted data

Stephen Tu,M. Frans Kaashoek,Samuel Madden,Nickolai Zeldovich

PVLDB, no. 5 (2013): 289-300

Cited by383EIBibtex

The HipHop compiler for PHP

Haiping Zhao,Iain Proctor,Minghui Yang,Xin Qi,Mark Williams,Qi Gao,Guilherme Ottoni,Andrew Paroski,Scott MacVicar,Jason Evans,Stephen Tu

OOPSLA, no. 10 (2012): 575-586

Cited by27EIBibtex

PIQL: a performance insightful query language

Michael Armbrust,Stephen Tu,Armando Fox,Michael J. Franklin,David A. Patterson,Nick Lanham,Beth Trushkowsky,Jesse Trutna

SIGMOD Conference, pp.1207-1210, (2010)

Cited by9EIBibtex

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Stephen TuResearch Scientist

Papers21 papers