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Dan Feldman
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Bio
Current research
Machine learning of Big Data, Internet of Things, Swarm robotics, and 3D-cameras.
I am especially excited about reducing the gap between theoretical and practical algorithms, using my experience in the industry and academy.
Machine learning of Big Data, Internet of Things, Swarm robotics, and 3D-cameras.
I am especially excited about reducing the gap between theoretical and practical algorithms, using my experience in the industry and academy.
Papers49 papers
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Algorithms, no. 12 (2020): 311
KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Virtual Event..., pp.2051-2061, (2020)
ICLR, (2020)
TAMC, pp.287-299, (2020)
Sampling Techniques for Supervised or Unsupervised Tasks, pp.23-44, (2020)
Dan Feldman, Daniela Rus
Theory and Applications of Models of Computation: 15th Annual Conference, TAMC 2019, Kitakyushu, Jap..., (2019): 410
Minh Pham Khandelwal, Jay Pujara, Maria Stoica, Kshitij Tayal, Binh Vu,Dan Feldman, Lele Shu, Rajiv Mayani, Anna Dabrowski, Daniel Hardesty-Lewis, Suzanne Pierce
(2019)
arXiv preprint arXiv:1902.10407, (2019)
international conference on learning representations, (2019)
APPROX-RANDOM, (2019)
ALGORITHMS, no. 12 (2019): 267
Deborah Khider,Yolanda Gil, Kelly M Cobourn, Ewa Deelman, Christopher Duffy, R Ferreira da Silva, Armen Kemanian,Craig Knoblock, Vipin Kumar, Scott Dale Peckham,Yao-Yi Chiang,Dan Feldman
AGUFM, (2019): PA33C-1108
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