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Kunal Talwar
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I am a Theoretical Computer Scientist, working in the areas of Differential Privacy, Machine Learning, Algorithms, and Data Structures. I am a Research Scientist at Apple. I got my PhD from UC Berkeley in 2004 and was at Microsoft Research 2004-2014, and at Google Brain 2015-2019.
Papers153 papers
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Mathematics of Operations Research, (2020)
Erlingsson Úlfar,Feldman Vitaly,Mironov Ilya,Raghunathan Ananth, Song Shuang,Talwar Kunal, Thakurta Abhradeep
NeurIPS, (2020)
STOC '20: 52nd Annual ACM SIGACT Symposium on Theory of Computing
Chicago
IL
..., pp.439-449, (2020)
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 14997-15007
Cited by2EIBibtex
arXiv: Learning, (2019)
COLT, (2019): 1562-1578
symposium on discrete algorithms, (2019)
Bibtex
SODA '19: Symposium on Discrete Algorithms
San Diego
California
January, 2019, (2019): 2468-2479
Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing, (2019): 298-309
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 11279-11288
Cited by17EIBibtex
international conference on learning representations, (2018)
COLT, (2018): 1569-1573
ICML, (2018): 1028-1037
2018 IEEE 59TH ANNUAL SYMPOSIUM ON FOUNDATIONS OF COMPUTER SCIENCE (FOCS), (2018): 521.0-532
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