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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), 140, 2018
6242018
Scalable generalized linear bandits: Online computation and hashing
KS Jun, A Bhargava, R Nowak, R Willett
Advances in Neural Information Processing Systems 30, 2017
1632017
Socioscope: Spatio-temporal signal recovery from social media
JM Xu, A Bhargava, R Nowak, X Zhu
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2012
432012
Neural reconstruction with approximate message passing (NeuRAMP)
AK Fletcher, S Rangan, LR Varshney, A Bhargava
Advances in neural information processing systems 24, 2011
322011
IDTAXA: a novel approach for accurate taxonomic classification of microbiome sequences. Microbiome, 6 (1), 140
A Murali, A Bhargava, ES Wright
202018
Active positive semidefinite matrix completion: Algorithms, theory and applications
A Bhargava, R Ganti, R Nowak
Artificial Intelligence and Statistics, 1349-1357, 2017
182017
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
15
IDTAXA: a novel approach for accurate taxonomic classification of microbiome sequences. Microbiome 2018; 6: 140
A Murali, A Bhargava, ES Wright
10
Linear bandits with feature feedback
U Oswal, A Bhargava, R Nowak
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5331-5338, 2020
72020
IDTAXA: A novel approach for accurate taxonomic classification of microbiome sequences. Microbiome 2018; 6: 1–14
A Murali, A Bhargava, ES Wright
6
Off-policy evaluation from logged human feedback
A Bhargava, L Jain, B Kveton, G Liu, S Mukherjee
arXiv preprint arXiv:2406.10030, 2024
32024
IDTAXA: a novel approach for accurate taxonomic classification of microbiome sequences, Microbiome. 6 (2018) 140
A Murali, A Bhargava, ES Wright
3
Energy estimation of last mile electric vehicle routes
A Snoeck, A Bhargava, D Merchan, J Davis, J Pachon
arXiv preprint arXiv:2408.12006, 2024
22024
Pessimistic off-policy multi-objective optimization
S Alizadeh, A Bhargava, K Gopalswamy, L Jain, B Kveton, G Liu
International Conference on Artificial Intelligence and Statistics, 2980-2988, 2024
22024
Active algorithms for preference learning problems with multiple populations
A Bhargava, R Ganti, R Nowak
arXiv preprint arXiv:1603.04118, 2016
22016
Bandit approaches to preference learning problems with multiple populations
A Bhargava, R Ganti, R Nowak
stat 1050, 14, 2016
12016
Energy Estimation of Last Mile Electric Vehicle Routes
J Davis, A Snoeck, A Bhargava, D Merchan, J Pachon
Fragile Earth: Generative and Foundational Models for Sustainable Development, 2024
2024
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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Articles 1–19