| IDTAXA: a novel approach for accurate taxonomic classification of microbiome sequences A Murali, A Bhargava, ES Wright Microbiome 6, 1-14, 2018 | 451 | 2018 |
| Scalable generalized linear bandits: Online computation and hashing KS Jun, A Bhargava, R Nowak, R Willett Advances in Neural Information Processing Systems 30, 2017 | 129 | 2017 |
| 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 | 40 | 2012 |
| Neural reconstruction with approximate message passing (NeuRAMP) AK Fletcher, S Rangan, LR Varshney, A Bhargava Advances in neural information processing systems 24, 2011 | 32 | 2011 |
| Active positive semidefinite matrix completion: Algorithms, theory and applications A Bhargava, R Ganti, R Nowak Artificial Intelligence and Statistics, 1349-1357, 2017 | 17 | 2017 |
| IDTAXA: A novel approach for accurate taxonomic classification of microbiome sequences. Microbiome, 6 (1), 140 A Murali, A Bhargava, ES Wright | 15 | 2018 |
| 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 | 14 | |
| Linear bandits with feature feedback U Oswal, A Bhargava, R Nowak Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5331-5338, 2020 | 6 | 2020 |
| 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 | 4 | |
| Active algorithms for preference learning problems with multiple populations A Bhargava, R Ganti, R Nowak arXiv preprint arXiv:1603.04118, 2016 | 3 | 2016 |
| 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 | 1 | 2016 |
| Energy Estimation of Last Mile Electric Vehicle Routes A Snoeck, A Bhargava, D Merchan, J Davis, J Pachon arXiv preprint arXiv:2408.12006, 2024 | | 2024 |
| Off-Policy Evaluation from Logged Human Feedback A Bhargava, L Jain, B Kveton, G Liu, S Mukherjee arXiv preprint arXiv:2406.10030, 2024 | | 2024 |
| 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 | | 2024 |
| 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 |
Robert D NowakKeith and Jane Morgan Nosbusch Professor in ECE, Grace Wahba Professor of Data ScienceVerified email at wisc.edu
