| Submodular meets spectral: Greedy algorithms for subset selection, sparse approximation and dictionary selection A Das, D Kempe ICML 2011, 2011 | 585 | 2011 |
| Algorithms for subset selection in linear regression A Das, D Kempe Proceedings of the fortieth annual ACM symposium on Theory of computing, 45-54, 2008 | 282 | 2008 |
| Long-term forecasting with tide: Time-series dense encoder A Das, W Kong, A Leach, S Mathur, R Sen, R Yu arXiv preprint arXiv:2304.08424, 2023 | 265 | 2023 |
| Modeling opinion dynamics in social networks A Das, S Gollapudi, K Munagala Proceedings of the 7th ACM international conference on Web search and data …, 2014 | 224 | 2014 |
| A decoder-only foundation model for time-series forecasting A Das, W Kong, R Sen, Y Zhou arXiv preprint arXiv:2310.10688, 2023 | 162 | 2023 |
| Approximate submodularity and its applications: Subset selection, sparse approximation and dictionary selection A Das, D Kempe Journal of Machine Learning Research 19 (3), 1-34, 2018 | 116 | 2018 |
| Adaptive agent integration architectures for heterogeneous team members M Tambe, DV Pynadath, N Chauvat, A Das, GA Kaminka Proceedings fourth international conference on multiagent systems, 301-308, 2000 | 106 | 2000 |
| Data acquisition in multiple-sink sensor networks A Das, D Dutta ACM SIGMOBILE Mobile Computing and Communications Review 9 (3), 82-85, 2005 | 94 | 2005 |
| Debiasing social wisdom A Das, S Gollapudi, R Panigrahy, M Salek Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 67 | 2013 |
| Selecting diverse features via spectral regularization A Das, A Dasgupta, R Kumar Advances in neural information processing systems 25, 2012 | 54 | 2012 |
| Sensor selection for minimizing worst-case prediction error A Das, D Kempe 2008 International Conference on Information Processing in Sensor Networks …, 2008 | 52 | 2008 |
| Intelligent bandwidth allocation for ethernet passive optical networks A Das, C Chen US Patent 7,564,852, 2009 | 49 | 2009 |
| Scalable hierarchical multitask learning algorithms for conversion optimization in display advertising A Ahmed, A Das, AJ Smola Proceedings of the 7th ACM international conference on Web search and data …, 2014 | 47 | 2014 |
| Dynamic balancing for model selection in bandits and rl A Cutkosky, C Dann, A Das, C Gentile, A Pacchiano, M Purohit International Conference on Machine Learning, 2276-2285, 2021 | 40 | 2021 |
| System and method for network layer protocol routing in a peer model integrated optical network V Sharma, A Das, C Chen US Patent 7,457,277, 2008 | 22 | 2008 |
| Robust pure exploration in linear bandits with limited budget A Alieva, A Cutkosky, A Das International Conference on Machine Learning, 187-195, 2021 | 21 | 2021 |
| Adaptive torque control of electro-rheological fluid brakes used in active knee rehabilitation devices J Nikitczuk, A Das, H Vyas, B Weinberg, C Mavroidis Proceedings 2006 IEEE International Conference on Robotics and Automation …, 2006 | 21 | 2006 |
| Hierarchically regularized deep forecasting B Paria, R Sen, A Ahmed, A Das arXiv preprint arXiv:2106.07630, 2021 | 20 | 2021 |
| Role of conformity in opinion dynamics in social networks A Das, S Gollapudi, A Khan, R Paes Leme Proceedings of the second ACM conference on Online social networks, 25-36, 2014 | 20 | 2014 |
| Information dissemination in heterogeneous-intent networks A Das, S Gollapudi, E Kıcıman, O Varol Proceedings of the 8th ACM Conference on Web Science, 259-268, 2016 | 19 | 2016 |
