| WICER: a weighted inter-cluster edge ranking for clustered graphs D Padmanabhan, P Desikan, J Srivastava, K Riaz The 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05 …, 2005 | 34 | 2005 |
| Topic model based multi-label classification D Padmanabhan, S Bhat, S Shevade, Y Narahari 2016 IEEE 28th International Conference on Tools with Artificial …, 2016 | 13 | 2016 |
| Multi-label classification from multiple noisy sources using topic models D Padmanabhan, S Bhat, S Shevade, Y Narahari Information 8 (2), 52, 2017 | 10 | 2017 |
| Exploiting partial correlations in distributionally robust optimization D Padmanabhan, K Natarajan, K Murthy Mathematical Programming 186, 209-255, 2021 | 9 | 2021 |
| Mechanisms with learning for stochastic multi-armed bandit problems S Jain, S Bhat, G Ghalme, D Padmanabhan, Y Narahari Indian Journal of Pure and Applied Mathematics 47, 229-272, 2016 | 8 | 2016 |
| System and method to implement sharing of paper documents using virtual currency S Roy, D Padmanabhan, J Williamowski, A Grasso, Y Hoppenot US Patent 8,848,242, 2014 | 6 | 2014 |
| Dominant strategy truthful, deterministic multi-armed bandit mechanisms with logarithmic regret for sponsored search auctions D Padmanabhan, S Bhat, KJ Prabuchandran, S Shevade, Y Narahari Applied Intelligence 52 (3), 3209-3226, 2022 | 4 | 2022 |
| A robust UCB scheme for active learning in regression from strategic crowds D Padmanabhan, S Bhat, D Garg, S Shevade, Y Narahari 2016 International Joint Conference on Neural Networks (IJCNN), 2212-2219, 2016 | 4 | 2016 |
| A truthful mechanism with biparameter learning for online crowdsourcing S Bhat, D Padmanabhan, S Jain, Y Narahari arXiv preprint arXiv:1602.04032, 2016 | 4 | 2016 |
| Extremal probability bounds in combinatorial optimization D Padmanabhan, SD Ahipasaoglu, A Ramachandra, K Natarajan SIAM Journal on Optimization 32 (4), 2828-2858, 2022 | 3 | 2022 |
| Tree bounds for sums of Bernoulli random variables: A linear optimization approach D Padmanabhan, K Natarajan Informs Journal on Optimization 3 (1), 23-45, 2021 | 2 | 2021 |
| Correlation robust influence maximization L Chen, D Padmanabhan, CC Lim, K Natarajan Advances in Neural Information Processing Systems 33, 7078-7089, 2020 | 2 | 2020 |
| Admission Control in the Presence of Arrival Forecasts with Blocking-Based Policy Optimization K Murthy, D Padmanabhan, S Bhat 2022 Winter Simulation Conference (WSC), 2270-2281, 2022 | 1 | 2022 |
| A dominant strategy truthful, deterministic multi-armed bandit mechanism with logarithmic regret D Padmanabhan, S Bhat, S Shevade, Y Narahari arXiv preprint arXiv:1703.00632, 2017 | 1 | 2017 |
| Robustness to Dependency in Influence Maximization LL Chen, CC Lim, D Padmanabhan, K Natarajan Management Science, 2024 | | 2024 |
| Distributionally robust optimization through the lens of submodularity K Natarajan, D Padmanabhan, A Ramachandra arXiv preprint arXiv:2312.04890, 2023 | | 2023 |
| Theoretical models for learning from multiple, heterogenous and strategic agents D Padmanabhan Proceedings of the 16th Conference on Autonomous Agents and MultiAgent …, 2017 | | 2017 |
Satyanath BhatIndian Institute of Technology GoaVerified email at iitgoa.ac.in
