| Big data analytics with datalog queries on spark A Shkapsky, M Yang, M Interlandi, H Chiu, T Condie, C Zaniolo Proceedings of the 2016 International Conference on Management of Data, 1135 …, 2016 | 184 | 2016 |
| Titian: Data provenance support in spark M Interlandi, K Shah, SD Tetali, MA Gulzar, S Yoo, M Kim, T Millstein, ... Proceedings of the VLDB Endowment International Conference on Very Large …, 2015 | 146 | 2015 |
| {PRETZEL}: Opening the black box of machine learning prediction serving systems Y Lee, A Scolari, BG Chun, MD Santambrogio, M Weimer, M Interlandi 13th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2018 | 123 | 2018 |
| Programming and runtime support to blaze FPGA accelerator deployment at datacenter scale M Huang, D Wu, CH Yu, Z Fang, M Interlandi, T Condie, J Cong Proceedings of the Seventh ACM Symposium on Cloud Computing, 456-469, 2016 | 110 | 2016 |
| Bigdebug: Debugging primitives for interactive big data processing in spark MA Gulzar, M Interlandi, S Yoo, SD Tetali, T Condie, T Millstein, M Kim Proceedings of the 38th International Conference on Software Engineering …, 2016 | 98 | 2016 |
| Machine learning at Microsoft with ML. NET Z Ahmed, S Amizadeh, M Bilenko, R Carr, WS Chin, Y Dekel, X Dupre, ... Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 77 | 2019 |
| Extending relational query processing with ML inference K Karanasos, M Interlandi, D Xin, F Psallidas, R Sen, K Park, I Popivanov, ... arXiv preprint arXiv:1911.00231, 2019 | 76 | 2019 |
| QUEST: A keyword search system for relational data based on semantic and machine learning techniques S Bergamaschi, F Guerra, M Interlandi, R Trillo Lado, Y Velegrakis Proceedings of the VLDB Endowment 6, 1222-1225, 2013 | 56 | 2013 |
| Data science through the looking glass: Analysis of millions of github notebooks and ml. net pipelines F Psallidas, Y Zhu, B Karlas, J Henkel, M Interlandi, S Krishnan, B Kroth, ... ACM SIGMOD Record 51 (2), 30-37, 2022 | 55 | 2022 |
| Combining user and database perspective for solving keyword queries over relational databases S Bergamaschi, F Guerra, M Interlandi, R Trillo-Lado, Y Velegrakis Information Systems 55, 1-19, 2016 | 55 | 2016 |
| A tensor compiler for unified machine learning prediction serving S Nakandala, K Saur, GI Yu, K Karanasos, C Curino, M Weimer, ... 14th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2020 | 54 | 2020 |
| Fixpoint semantics and optimization of recursive datalog programs with aggregates C Zaniolo, M Yang, A Das, A Shkapsky, T Condie, M Interlandi Theory and Practice of Logic Programming 17 (5-6), 1048-1065, 2017 | 53 | 2017 |
| Proof positive and negative in data cleaning M Interlandi, N Tang 2015 IEEE 31st International Conference on Data Engineering, 18-29, 2015 | 46 | 2015 |
| End-to-end optimization of machine learning prediction queries K Park, K Saur, D Banda, R Sen, M Interlandi, K Karanasos Proceedings of the 2022 International Conference on Management of Data, 587-601, 2022 | 38 | 2022 |
| Steering query optimizers: A practical take on big data workloads P Negi, M Interlandi, R Marcus, M Alizadeh, T Kraska, M Friedman, ... Proceedings of the 2021 International Conference on Management of Data, 2557 …, 2021 | 38 | 2021 |
| Adding data provenance support to apache spark M Interlandi, A Ekmekji, K Shah, MA Gulzar, SD Tetali, M Kim, T Millstein, ... The VLDB Journal 27, 595-615, 2018 | 38 | 2018 |
| Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML A Agrawal, R Chatterjee, C Curino, A Floratou, N Gowdal, M Interlandi, ... arXiv preprint arXiv:1909.00084, 2019 | 36 | 2019 |
| Coded elastic computing Y Yang, M Interlandi, P Grover, S Kar, S Amizadeh, M Weimer 2019 IEEE International Symposium on Information Theory (ISIT), 2654-2658, 2019 | 36 | 2019 |
| Automated debugging in data-intensive scalable computing MA Gulzar, M Interlandi, X Han, M Li, T Condie, M Kim Proceedings of the 2017 Symposium on Cloud Computing, 520-534, 2017 | 35 | 2017 |
| Building continuous integration services for machine learning B Karlaš, M Interlandi, C Renggli, W Wu, C Zhang, ... Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 34 | 2020 |
