Gautam Dasarathy
Gautam Dasarathy
Assistant Professor, Electrical Engineering, Arizona State University
Verified email at - Homepage
Cited by
Cited by
Gaussian process bandit optimisation with multi-fidelity evaluations
K Kandasamy, G Dasarathy, JB Oliva, J Schneider, B Póczos
Advances in Neural Information Processing Systems, 992-1000, 2016
Multi-fidelity bayesian optimisation with continuous approximations
K Kandasamy, G Dasarathy, J Schneider, B Póczos
arXiv preprint arXiv:1703.06240, 2017
Sketching sparse matrices, covariances, and graphs via tensor products
G Dasarathy, P Shah, BN Bhaskar, RD Nowak
IEEE Transactions on Information Theory 61 (3), 1373-1388, 2015
Active clustering: Robust and efficient hierarchical clustering using adaptively selected similarities
B Eriksson, G Dasarathy, A Singh, R Nowak
Proceedings of the Fourteenth International Conference on Artificial …, 2011
A data-driven and distributed approach to sparse signal representation and recovery
A Mousavi, G Dasarathy, RG Baraniuk
International Conference on Learning Representations, 2018
Toward the practical use of network tomography for internet topology discovery
B Eriksson, G Dasarathy, P Barford, R Nowak
2010 Proceedings IEEE INFOCOM, 1-9, 2010
Data requirement for phylogenetic inference from multiple loci: a new distance method
G Dasarathy, R Nowak, S Roch
IEEE/ACM Transactions on Computational Biology and Bioinformatics 12 (2 …, 2014
Efficient network tomography for internet topology discovery
B Eriksson, G Dasarathy, P Barford, R Nowak
IEEE/ACM Transactions on Networking 20 (3), 931-943, 2011
S2: An efficient graph based active learning algorithm with application to nonparametric classification
G Dasarathy, R Nowak, X Zhu
Conference on Learning Theory, 503-522, 2015
Multi-fidelity gaussian process bandit optimisation
K Kandasamy, G Dasarathy, J Oliva, J Schneider, B Poczos
Journal of Artificial Intelligence Research 66, 151-196, 2019
The Multi-fidelity Multi-armed Bandit
K Kandasamy, G Dasarathy, B Poczos, J Schneider
Advances in Neural Information Processing Systems, 1777-1785, 2016
Conveying language through haptics: A multi-sensory approach
N Dunkelberger, J Sullivan, J Bradley, NP Walling, I Manickam, ...
Proceedings of the 2018 ACM International Symposium on Wearable Computers, 25-32, 2018
MISSION: ultra large-scale feature selection using count-sketches
A Aghazadeh, R Spring, D LeJeune, G Dasarathy, A Shrivastava, ...
arXiv preprint arXiv:1806.04310, 2018
Active learning algorithms for graphical model selection
G Dasarathy, A Singh, MF Balcan, JH Park
Artificial Intelligence and Statistics, 1356-1364, 2016
On reliability of content identification from databases based on noisy queries
G Dasarathy, SC Draper
2011 IEEE International Symposium on Information Theory Proceedings, 1066-1070, 2011
New sample complexity bounds for phylogenetic inference from multiple loci
G Dasarathy, R Nowak, S Roch
2014 IEEE International Symposium on Information Theory, 2037-2041, 2014
Graph quilting: graphical model selection from partially observed covariances
G Vinci, G Dasarathy, GI Allen
arXiv preprint arXiv:1912.05573, 2019
Upper and lower bounds on the reliability of content identification
G Dasarathy, SC Draper
23th International Zurich Seminar on Communications (IZS 2014), 2014
A Class of Parameterized Loss Functions for Classification: Optimization Tradeoffs and Robustness Characteristics
T Sypherd, M Diaz, H Laddha, L Sankar, P Kairouz, G Dasarathy
arXiv preprint arXiv:1906.02314, 2019
Quantile Search with Time-Varying Search Parameter
J Lipor, G Dasarathy
2018 52nd Asilomar Conference on Signals, Systems, and Computers, 1016-1018, 2018
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