| Testing efficient risk sharing with heterogeneous risk preferences M Mazzocco, S Saini The American Economic Review 102 (1), 428-468, 2012 | 213 | 2012 |
| Providing personalized alerts and anomaly summarization N Modani, IA Burhanuddin, G Hiranandani, SK Saini US Patent App. 15/238,208, 2018 | 36 | 2018 |
| Root cause analysis of failures in microservices through causal discovery A Ikram, S Chakraborty, S Mitra, S Saini, S Bagchi, M Kocaoglu Advances in Neural Information Processing Systems 35, 31158-31170, 2022 | 33 | 2022 |
| Modeling Hint-Taking Behavior and Knowledge State of Students with Multi-Task Learning R Chaudhry, H Singh, P Dogga, SK Saini International Conference on Educational Data Mining 2018, 2018 | 32 | 2018 |
| Modeling Hint-Taking Behavior and Knowledge State of Students with Multi-Task Learning RCPD Harvineet Singh, Shiv Kumar Saini Educational Data Mining, 2018 | 32* | 2018 |
| Identifying sources of anomalies in multi-variable metrics using linearization SK Saini, R Sinha, M Rimer, N Anandhavelu US Patent 10,404,777, 2019 | 29 | 2019 |
| A non-parametric approach to the multi-channel attribution problem MM Yadagiri, SK Saini, R Sinha Web Information Systems Engineering–WISE 2015: 16th International Conference …, 2015 | 27 | 2015 |
| Extracting seasonal, level, and spike components from a time series of metrics data SK Saini, S Choudhary, G Hiranandani US Patent 10,628,435, 2020 | 24 | 2020 |
| Sparse decomposition for time series forecasting and anomaly detection S Choudhary, G Hiranandani, SK Saini Proceedings of the 2018 SIAM International Conference on Data Mining, 522-530, 2018 | 23 | 2018 |
| Testing efficient risk sharing with heterogeneous risk preferences M Mazzocco, S Saini | 23 | 2007 |
| Marketing channel attribution R Sinha, SK Saini, N Anandhavelu US Patent App. 14/508,141, 2016 | 22 | 2016 |
| Probabilistic deduplication of anonymous web traffic R Saha Roy, R Sinha, N Chhaya, S Saini Proceedings of the 24th International Conference on World Wide Web, 103-104, 2015 | 22 | 2015 |
| Estimating the Incremental Effects of Interactions for Marketing Attribution SSAN Ritwik Sinha 2014 International Conference on Behavioral, Economic, Socio-Cultural Computing, 2014 | 20* | 2014 |
| Multiple treatment effect estimation using deep generative model with task embedding SK Saini, S Dhamnani, AA Ibrahim, P Chavan The World Wide Web Conference, 1601-1611, 2019 | 19 | 2019 |
| Testing efficient risk sharing with heterogeneous risk preferences: Semi-parametric tests with an application to village economies M Mazzocco, S Saini UCLA and University of Wisconsin-Madison, 2006 | 17 | 2006 |
| Anomaly detection at coarser granularity of data SK Saini, T Paulsen, M Sinha, G Hiranandani US Patent 10,528,533, 2020 | 13 | 2020 |
| Predictive modeling with entity representations computed from neural network models simultaneously trained on multiple tasks SK Saini, V Vinay, V Nagar, A Mittal US Patent 11,521,221, 2022 | 10 | 2022 |
| Utilizing a deep generative model with task embedding for personalized targeting of digital content through multiple channels across client devices SK Saini, S Dhamnani, PA Chavan, ASAA Ibrahim, A Srinivasan US Patent 11,109,083, 2021 | 10 | 2021 |
| Value function-based estimation of multi-channel attributions MM Yadagiri, SK Saini, R Sinha US Patent 10,395,272, 2019 | 10 | 2019 |
| Simulation-based evaluation of a marketing channel attribution model MM Yadagiri, R Sinha, SK Saini US Patent 10,387,909, 2019 | 10 | 2019 |
Ritwik SinhaAdobe Research在 adobe.com 的电子邮件经过验证
