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Jason D. Lee
Assistant Professor
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Research Interests
Machine Learning: Provable methods for deep learning and non-convex problems,
Distributed machine learning algorithms
Large-scale Optimization: Distributed optimization, Non-convex optimization,
Stochastic optimization
Statistics: Post-model selection inference, High-dimensional estimation and inference
Machine Learning: Provable methods for deep learning and non-convex problems,
Distributed machine learning algorithms
Large-scale Optimization: Distributed optimization, Non-convex optimization,
Stochastic optimization
Statistics: Post-model selection inference, High-dimensional estimation and inference
Papers124 papers
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ICLR 2021, (2021)
NeurIPS, (2020)
NIPS 2020, (2020)
NIPS 2020, (2020)
NIPS 2020, (2020)
NIPS 2020, (2020)
NIPS 2020, (2020)
ANNALS OF STATISTICS, no. 1 (2020): 251-273
Journal of The Royal Statistical Society Series B-statistical Methodology, no. 3 (2020): 685-718
Woodworth Blake,Gunasekar Suriya,Lee Jason D., Moroshko Edward,Savarese Pedro, Golan Itay,Soudry Daniel,Srebro Nathan
COLT, pp.3635-3673, (2020)
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 11312-11322
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