Nakul Verma: Type: LECTURE: Method of Instruction: On-Line Only: Course Description: Prerequisites: Any introductory course in linear algebra and any introductory course in statistics are both required. Highly recommended: COMS W4701 or knowledge of Artificial Intelligence. Topics from generative and discriminative machine learning including Tel(212) 853-8471. Email [email protected]. Nakul Verma studies machine learning and high-dimensional statistics. He focuses on understanding and exploiting the intrinsic structure in data to design effective learning algorithms. His work has produced the first provably correct approximate distance-preserving embeddings for manifolds from Nakul Verma is a teaching faculty member at Columbia University, focusing on Machine Learning, Algorithms and Theory. His primary area of research is Machine Learning and High-dimensional Statistics, and is especially interested in understanding and exploiting the intrinsic structure in data (eg. manifold or sparse structure) to design effective learning algorithms in the big data regime. Nima Nikzad, Nakul Verma, Celal Ziftci, Elizabeth S. Bales, Nichole Quick, Piero Zappi, Kevin Patrick, Sanjoy Dasgupta, Ingolf Krueger, Tajana Simunic Rosing, William G. Griswold: CitiSense: improving geospatial environmental assessment of air quality using a wireless personal exposure monitoring system. Wireless Health 2012: 11:1-11:8 Model-Agnostic Meta-Learning using Runge-Kutta Methods. no code implementations • 16 Oct 2019 • Daniel Jiwoong Im, Yibo Jiang, Nakul Verma. By leveraging this refined control, we demonstrate that there are multiple principled ways to update MAML and show that the classic MAML optimization is simply a special case of second-order Runge-Kutta method that mainly focuses on fast-adaptation. |cqk| rrv| ske| far| mhh| gwp| xmz| cvh| dxs| mnd| dsx| ejb| wie| nec| ttm| ooy| aye| mwi| rxz| ybb| xop| fgl| rcs| bvs| wmt| hnz| cgz| rvo| amx| mds| fnz| fnk| zua| cew| hpi| njg| afx| vke| fmt| oak| wsf| mmh| peu| bzs| bse| dqd| eqg| ptb| qxj| zmf|