| VacSIM: Learning Effective Strategies for COVID-19 Vaccine Distribution using Reinforcement Learning R Awasthi, KK Guliani, SA Khan, A Vashishtha, M Singh Gill, A Bhatt, ... Intelligence Based Medicine, 2020 | 25 | 2020 |
| Mining Trends of COVID-19 Vaccine Beliefs on Twitter With Lexical Embeddings: Longitudinal Observational Study H Chopra*, A Vashishtha*, R Pal, A Ashima, A Tyagi, T Sethi JMIR infodemiology 3 (1), e34315, 2023 | 10* | 2023 |
| Causal inference using llm-guided discovery A Vashishtha, AG Reddy, A Kumar, S Bachu, VN Balasubramanian, ... arXiv preprint arXiv:2310.15117, 2023 | 7 | 2023 |
| On evaluating and mitigating gender biases in multilingual settings A Vashishtha, K Ahuja, S Sitaram arXiv preprint arXiv:2307.01503, 2023 | 4 | 2023 |
| Vaccination Worldwide: Strategies, Distribution and Challenges C Samal, K Jakimowicz, K Dasgupta, A Vashishtha, A Natarajan, H Nazir, ... arXiv preprint arXiv:2107.14139, 2021 | 3 | 2021 |
| Performance and Risk Trade-offs for Multi-word Text Prediction at Scale A Vashishtha, SS Prasad, P Bajaj, V Chaudhary, K Cook, S Dandapat, ... Findings of the Association for Computational Linguistics: EACL 2023, 2226-2242, 2023 | | 2023 |
| Mining Trends of COVID-19 Vaccine Beliefs on Twitter with Lexical Embeddings (preprint) H Chopra, A Vashishtha, R Pal, A Tyagi, T Sethi | | 2021 |
| VacSIM: Learning Effective Strategies for COVID-19 Vaccine Distribution using Reinforcement Learning (preprint) R Awasthi, KK Guliani, SA Khan, A Vashishtha, MS Gill, A Bhatt, A Nagori, ... | | 2020 |
Sunayana SitaramMicrosoft Research IndiaVerified email at microsoft.com
