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Stephen Tu
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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.
Papers21 papers
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Lars Lindemann,Haimin Hu, Alexander Robey, Hanwen Zhang,Dimos V. Dimarogonas,Stephen Tu,Nikolai Matni
FOUNDATIONS OF COMPUTATIONAL MATHEMATICS, no. 4.0 (2020): 633.0-679.0
conference on learning theory, (2019)
advances in computing and communications, (2019)
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 8512-8522
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), (2018): 4188-4197
COLT, (2018): 439-473
international conference on machine learning, (2018)
ICML, pp.3482-3491, (2017)
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 29 (NIPS 2016), (2016): 2568-2576
international conference on machine learning, pp.964-973, (2016)
Cited by266Bibtex
ICML, (2015)
network and distributed system security symposium, (2015)
Cited by24Bibtex
NDSS, (2015)
OSDI, pp.465-477, (2014)
SOSP, pp.18-32, (2013)
PVLDB, no. 5 (2013): 289-300
OOPSLA, no. 10 (2012): 575-586
SIGMOD Conference, pp.1207-1210, (2010)
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