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Varun Kanade
Associate Professor
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Bio
My interests lie in machine learning and theoretical computer science. I am primarily interested in computational learning theory -- developing efficient algorithms for learning problems and also studying their inherent hardness. My dissertation work was based on understanding biological evolution from a standpoint of computational learning theory. I have also worked in on-line learning such as experts and bandit problems.
Papers66 papers
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AISTATS, pp.1126-1134, (2021)
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NIPS 2020, (2020)
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AISTATS, pp.3970-3979, (2020)
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international conference on learning representations, (2020)
Cited by1Bibtex
NIPS 2020, (2020)
Cited by1EIBibtex
NeurIPS, (2020)
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SODA '19: Symposium on Discrete Algorithms
San Diego
California
January, 2019, pp.956-965, (2019)
SODA '18: Symposium on Discrete Algorithms
New Orleans
Louisiana
January, 2018, no. 4 (2019): 1-42
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 7444-7453
Cited by8EIBibtex
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 2968-2979
Cited by8EIBibtex
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 4531-4542
Cited by11EIBibtex
symposium on discrete algorithms, (2019)
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arXiv: Statistics Theory, (2018)
Cited by4EIBibtex
international conference on machine learning, (2018): 4497-4506
Cited by35EIBibtex
arXiv: Learning, (2018)
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arXiv: Learning, (2018)
Cited by3EIBibtex
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