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Manasi Vartak
Manasi Vartak
Verified email at csail.mit.edu
Title
Cited by
Cited by
Year
Seedb: Efficient data-driven visualization recommendations to support visual analytics
M Vartak, S Rahman, S Madden, A Parameswaran, N Polyzotis
Proceedings of the VLDB Endowment International Conference on Very Large …, 2015
2282015
ModelDB: a system for machine learning model management
M Vartak, H Subramanyam, WE Lee, S Viswanathan, S Husnoo, ...
Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 1-3, 2016
1832016
A meta-learning perspective on cold-start recommendations for items
M Vartak, A Thiagarajan, C Miranda, J Bratman, H Larochelle
Advances in neural information processing systems 30, 2017
1482017
A demonstration of the BigDAWG polystore system
AJ Elmore, J Duggan, M Stonebraker, M Balazinska, U Cetintemel, ...
Proceedings of the VLDB Endowment 8 (12), 1908, 2015
1262015
Towards visualization recommendation systems
M Vartak, S Huang, T Siddiqui, S Madden, A Parameswaran
Acm Sigmod Record 45 (4), 34-39, 2017
1252017
On challenges in machine learning model management
S Schelter, F Biessmann, T Januschowski, D Salinas, S Seufert, ...
1072018
SEEDB: automatically generating query visualizations
M Vartak, S Madden, A Parameswaran, N Polyzotis
Association for Computing Machinery (ACM), 2014
902014
The Assistment Builder: Supporting the life cycle of tutoring system content creation
L Razzaq, J Patvarczki, SF Almeida, M Vartak, M Feng, NT Heffernan, ...
IEEE Transactions on Learning Technologies 2 (2), 157-166, 2009
812009
Mistique: A system to store and query model intermediates for model diagnosis
M Vartak, JM F. da Trindade, S Madden, M Zaharia
Proceedings of the 2018 International Conference on Management of Data, 1285 …, 2018
452018
Genbase: A complex analytics genomics benchmark
R Taft, M Vartak, NR Satish, N Sundaram, S Madden, M Stonebraker
Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014
422014
September 2015. Seedb: Efficient data-driven visualization recommendations to support visual analytics
M Vartak, S Rahman, S Madden, A Parameswaran, N Polyzotis
PVLDB 8 (13), 2182-2193, 0
42
Modeldb: Opportunities and challenges in managing machine learning models.
M Vartak, S Madden
IEEE Data Eng. Bull. 41 (4), 16-25, 2018
322018
Supporting fast iteration in model building
M Vartak, P Ortiz, K Siegel, H Subramanyam, S Madden, M Zaharia
NIPS Workshop LearningSys, 1-6, 2015
232015
Qrelx: generating meaningful queries that provide cardinality assurance
M Vartak, V Raghavan, EA Rundensteiner
Proceedings of the 2010 ACM SIGMOD International Conference on Management of …, 2010
182010
CHIC: a combination-based recommendation system
M Vartak, S Madden
Proceedings of the 2013 ACM SIGMOD International Conference on Management of …, 2013
152013
Smallify: Learning network size while training
G Leclerc, M Vartak, RC Fernandez, T Kraska, S Madden
arXiv preprint arXiv:1806.03723, 2018
122018
Refinement driven processing of aggregation constrained queries
M Vartak, V Raghavan, E Rundensteiner, S Madden
112016
Infrastructure for model management and model diagnosis
M Vartak
Massachusetts Institute of Technology, 2018
52018
Seedb: towards automatic query result visualizations
M Vartak, S Madden, A Parameswaran, N Polyzotis
Tech. rep., Technical Report, data-people. cs. illinois. edu/seedb-tr. pdf, 2014
32014
From ML models to intelligent applications: the rise of MLOps
M Vartak
Proceedings of the VLDB Endowment 14 (13), 3419-3419, 2021
22021
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