| Dynamic set cover: improved algorithms and lower bounds A Abboud, R Addanki, F Grandoni, D Panigrahi, B Saha Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing …, 2019 | 40 | 2019 |
| Snomed2Vec: Random Walk and Poincar\'e Embeddings of a Clinical Knowledge Base for Healthcare Analytics K Agarwal, T Eftimov, R Addanki, S Choudhury, S Tamang, R Rallo arXiv preprint arXiv:1907.08650, 2019 | 25* | 2019 |
| Efficient intervention design for causal discovery with latents R Addanki, S Kasiviswanathan, A McGregor, C Musco International Conference on Machine Learning, 63-73, 2020 | 24 | 2020 |
| How to Design Robust Algorithms Using Noisy Comparison Oracle R Addanki, S Galhotra, B Saha Proceedings of the VLDB Endowment 14 (10), 1703-1716, 2021 | 11 | 2021 |
| Search Result Diversification with Guarantee of Topic Proportionality SM Sarwar, R Addanki, A Montazeralghaem, S Pal, J Allan Proceedings of the 2020 ACM SIGIR on International Conference on Theory of …, 2020 | 8 | 2020 |
| Non-Adaptive Edge Counting and Sampling via Bipartite Independent Set Queries R Addanki, A McGregor, C Musco arXiv preprint arXiv:2207.02817, 2022 | 7 | 2022 |
| Intervention Efficient Algorithms for Approximate Learning of Causal Graphs R Addanki, A McGregor, C Musco Algorithmic Learning Theory, 151-184, 2021 | 7 | 2021 |
| Anytime-Valid Confidence Sequences in an Enterprise A/B Testing Platform A Maharaj, R Sinha, D Arbour, I Waudby-Smith, SZ Liu, M Sinha, ... Companion Proceedings of the ACM Web Conference 2023, 396-400, 2023 | 6 | 2023 |
| Improved Approximation and Scalability for Fair Max-Min Diversification R Addanki, A McGregor, A Meliou, Z Moumoulidou 25th International Conference on Database Theory (ICDT 2022), 2022 | 6 | 2022 |
| Sample constrained treatment effect estimation R Addanki, D Arbour, T Mai, C Musco, A Rao Advances in Neural Information Processing Systems 35, 5417-5430, 2022 | 4 | 2022 |
| Fully dynamic set cover–improved and simple R Addanki, B Saha arXiv preprint arXiv:1804.03197, 2018 | 3 | 2018 |
| Collaborative Causal Discovery with Atomic Interventions R Addanki, S Kasiviswanathan Advances in Neural Information Processing Systems 34, 12761-12773, 2021 | 2 | 2021 |
| Causal Discovery in Semi-Stationary Time Series S Gao, R Addanki, T Yu, R Rossi, M Kocaoglu Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| One Pass Streaming Algorithm for Super Long Token Attention Approximation in Sublinear Space R Addanki, C Li, Z Song, C Yang arXiv preprint arXiv:2311.14652, 2023 | 1 | 2023 |
| Limits of Approximating the Median Treatment Effect R Addanki, S Bhandari arXiv preprint arXiv:2403.10618, 2024 | | 2024 |
| Continuous Treatment Effects with Surrogate Outcomes Z Zeng, D Arbour, A Feller, R Addanki, R Rossi, R Sinha, EH Kennedy arXiv preprint arXiv:2402.00168, 2024 | | 2024 |
| COMBINATORIAL ALGORITHMS FOR GRAPH DISCOVERY AND EXPERIMENTAL DESIGN RK Addanki | | 2022 |
| Parameter-Efficient Fine-Tuning via Partially Decomposable Loss Analysis and Sharing R Addanki, R Sinha, Z Song, Y Wang, L Zhang | | |
