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Sham M. Kakade
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I am interested in the mathematical foundations of machine learning and artificial intelligence. I focus on the design of provably efficient and practical algorithms that are relevant for a broad range of paradigms, where I hope these advancements can help in making progress on core AI problems. My current interests include : i) reinforcement learning and controls ii) representation (and deep) learning and iii) natural language processing and memory. I enjoy collaborating with a diverse set of researchers to tackle these issues!
Papers226 papers
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ICLR 2021, (2021)
ICML, pp.5544-5555, (2020)
international conference on learning representations, (2020)
NIPS 2020, (2020)
NIPS 2020, (2020)
NIPS 2020, (2020)
Chan Justin,Gollakota Shyam,Horvitz Eric, Jaeger Joseph,Kakade Sham,Kohno Tadayoshi, Langford John, Larson Jonathan, Singanamalla Sudheesh,Sunshine Jacob,Tessaro Stefano
IEEE Data(base) Engineering Bulletin, no. 2 (2020): 15-35
ALT, pp.22-47, (2020)
NIPS 2020, (2020)
ICLR, (2020)
NIPS 2020, (2020)
NeurIPS, (2020)
ICML, pp.10181-10192, (2020)
ICML, pp.367-376, (2020)
international conference on learning representations, (2020)
ICML, pp.5394-5404, (2020)
ICML, pp.1089-1099, (2020)
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