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Alekh Agarwal
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I am broadly interested in Machine Learning, Statistics and Optimization. I am currently working on several aspects of Interactive Machine Learning, including contextual bandits, reinforcement learning and active learning with an eye towards practical learning systems with strong theoretical guarantees. I have previously worked on tradeoffs between computational and statistical complexities, large-scale and distributed machine learning and statistical inference in high-dimensions.
Papers136 papers
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ICLR, (2020)
NeurIPS 2020, (2020)
national conference on artificial intelligence, (2020)
COLT, pp.3583-3634, (2020)
Uncertainty in Artificial Intelligence, pp.1180-1190, (2020)
(2020)
NeurIPS, (2020)
NeurIPS, (2020)
NeurIPS 2020, (2020)
COLT, pp.67-83, (2019)
arXiv: Learning, (2019)
(2019)
Uncertainty in Artificial Intelligence, (2019): 440
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