Devavrat Shah is affiliated with MIT in the United States and is engaged in research primarily within the fields of Computer Science and Mathematics. Their work spans subfields including Artificial Intelligence, Statistics and Probability, Management Science and Operations Research, Computational Mechanics, and Modeling and Simulation.
The research topics covered by Shah include a variety of specialized areas such as Statistical Methods and Inference, Sparse and Compressive Sensing Techniques, Advanced Causal Inference Techniques, Stochastic Gradient Optimization Techniques, Reinforcement Learning in Robotics, COVID-19 epidemiological studies, and Advanced Bandit Algorithms Research.
Frequent publication venues for Shah include:
Shah has collaborated extensively with a number of coauthors, indicating ongoing research partnerships. Notable frequent coauthors are:
Some recent papers authored or coauthored by Devavrat Shah include:
Stephen Boyd;Arpita Ghosh;Balaji Prabhakar;Devavrat Shah
A.El. Gamal;J. Mammen;B. Prabhakar;D. Shah
D. Shah;T. Zaman
S. Boyd;A. Ghosh;B. Prabhakar;D. Shah
David R. Karger;Sewoong Oh;Devavrat Shah
Jonathan Perry;Amy Ousterhout;Hari Balakrishnan;Devavrat Shah
Abbas El Gamal;James Mammen;Balaji Prabhakar;Devavrat Shah
David R. Karger;Sewoong Oh;Devavrat Shah
Pradeep Shenoy;Jayant R. Haritsa;S. Sudarshan;Gaurav Bhalotia
Vivek F. Farias;Srikanth Jagabathula;Devavrat Shah
Eytan Modiano;Devavrat Shah;Gil Zussman
Jay Kumar Sundararajan;Devavrat Shah;Muriel Médard;Szymon Jakubczak
J. K. Sundararajan;D. Shah;M. Medard;M. Mitzenmacher
U. Niesen;D. Shah;G.W. Wornell
J. Kumar Sundararajan;D. Shah;M. Medard
D. Shah;P. Gupta
Devavrat Shah
Devavrat Shah;Tauhid Zaman
Shreevatsa Rajagopalan;Devavrat Shah;Jinwoo Shin
Damon Mosk-Aoyama;Devavrat Shah
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