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Aniruddha Bhargava
Aniruddha Bhargava
Applied Scientist
Verified email at wisc.edu - Homepage
Title
Cited by
Cited by
Year
IDTAXA: a novel approach for accurate taxonomic classification of microbiome sequences
A Murali, A Bhargava, ES Wright
Microbiome 6, 1-14, 2018
4032018
Scalable generalized linear bandits: Online computation and hashing
KS Jun, A Bhargava, R Nowak, R Willett
Advances in Neural Information Processing Systems 30, 2017
1182017
Socioscope: Spatio-temporal signal recovery from social media
JM Xu, A Bhargava, R Nowak, X Zhu
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2012
402012
Neural reconstruction with approximate message passing (NeuRAMP)
AK Fletcher, S Rangan, LR Varshney, A Bhargava
Advances in neural information processing systems 24, 2011
312011
Active positive semidefinite matrix completion: Algorithms, theory and applications
A Bhargava, R Ganti, R Nowak
Artificial Intelligence and Statistics, 1349-1357, 2017
172017
IDTAXA: A novel approach for accurate taxonomic classification of microbiome sequences. Microbiome, 6 (1), 140
A Murali, A Bhargava, ES Wright
122018
IDTAXA: a novel approach for accurate taxonomic classification of microbiome sequences. Microbiome. 2018; 6 (1): 140
A Murali, A Bhargava, ES Wright
PubMed Abstract| Publisher Full Text| Free Full Text, 0
12
Linear bandits with feature feedback
U Oswal, A Bhargava, R Nowak
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5331-5338, 2020
62020
IDTAXA: a novel approach for accurate taxonomic classification of microbiome sequences. Microbiome. 2018; 6: 140
A Murali, A Bhargava, ES Wright
4
IDTAXA: A novel approach for accurate taxonomic classification of microbiome sequences. Microbiome. 2018; 6: 1–14
A Murali, A Bhargava, ES Wright
3
Active algorithms for preference learning problems with multiple populations
A Bhargava, R Ganti, R Nowak
arXiv preprint arXiv:1603.04118, 2016
22016
IDTAXA: a novel approach for accurate taxonomic classification of microbiome sequences, Microbiome. 6 (2018) 140
A Murali, A Bhargava, ES Wright
2
Bandit Approaches to Preference Learning Problems with Multiple Populations.
A Bhargava, R Ganti, R Nowak
stat 1050, 14, 2016
12016
Bandits and Preference Learning
B Aniruddha
The University of Wisconsin-Madison, 2017
2017
Robust Spatio-Temporal Signal Recovery from Noisy Counts in Social Media
JM Xu, A Bhargava, R Nowak, X Zhu
arXiv preprint arXiv:1204.2248, 2012
2012
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