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Manasi Vartak
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2020 – today
- 2021
- [j8]Manasi Vartak:
From ML Models to Intelligent Applications: The Rise of MLOps. Proc. VLDB Endow. 14(13): 3419 (2021)
2010 – 2019
- 2019
- [j7]Theodoros Rekatsinas
, Sudeepa Roy, Manasi Vartak, Ce Zhang, Neoklis Polyzotis:
Opportunities for Data Management Research in the Era of Horizontal AI/ML. Proc. VLDB Endow. 12(12): 2323-2324 (2019) - [c9]Sebastian Schelter, Neoklis Polyzotis, Manasi Vartak, Stephan Seufert:
DEEM 2019: Workshop on Data Management for End-to-End Machine Learning. SIGMOD Conference 2019: 2066-2067 - [e1]Sebastian Schelter, Neoklis Polyzotis, Stephan Seufert, Manasi Vartak:
Proceedings of the 3rd International Workshop on Data Management for End-to-End Machine Learning, DEEM@SIGMOD 2019, Amsterdam, The Netherlands, June 30, 2019. ACM 2019, ISBN 978-1-4503-6797-4 [contents] - 2018
- [b1]Manasi Vartak:
Infrastructure for model management and model diagnosis. Massachusetts Institute of Technology, Cambridge, USA, 2018 - [j6]Manasi Vartak, Samuel Madden:
MODELDB: Opportunities and Challenges in Managing Machine Learning Models. IEEE Data Eng. Bull. 41(4): 16-25 (2018) - [c8]Manasi Vartak, Joana M. F. da Trindade, Samuel Madden, Matei Zaharia
MISTIQUE: A System to Store and Query Model Intermediates for Model Diagnosis. SIGMOD Conference 2018: 1285-1300 - [i1]Guillaume Leclerc, Manasi Vartak, Raul Castro Fernandez, Tim Kraska, Samuel Madden:
Smallify: Learning Network Size while Training. CoRR abs/1806.03723 (2018) - 2017
- [c7]Manasi Vartak:
MODELDB: A System for Machine Learning Model Management. CIDR 2017 - [c6]Manasi Vartak, Arvind Thiagarajan, Conrado Miranda, Jeshua Bratman, Hugo Larochelle:
A Meta-Learning Perspective on Cold-Start Recommendations for Items. NIPS 2017: 6904-6914 - 2016
- [j5]Manasi Vartak, Silu Huang, Tarique Siddiqui, Samuel Madden, Aditya G. Parameswaran
Towards Visualization Recommendation Systems. SIGMOD Rec. 45(4): 34-39 (2016) - [c5]Manasi Vartak, Venkatesh Raghavan, Elke A. Rundensteiner, Samuel Madden:
Refinement Driven Processing of Aggregation Constrained Queries. EDBT 2016: 101-112 - [c4]Manasi Vartak, Harihar Subramanyam, Wei-En Lee, Srinidhi Viswanathan, Saadiyah Husnoo, Samuel Madden, Matei Zaharia
ModelDB: a system for machine learning model management. HILDA@SIGMOD 2016: 14 - 2015
- [j4]Aaron J. Elmore
A Demonstration of the BigDAWG Polystore System. Proc. VLDB Endow. 8(12): 1908-1911 (2015) - [j3]Manasi Vartak, Sajjadur Rahman, Samuel Madden, Aditya G. Parameswaran
SEEDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics. Proc. VLDB Endow. 8(13): 2182-2193 (2015) - 2014
- [j2]Manasi Vartak, Samuel Madden, Aditya G. Parameswaran
SEEDB: Automatically Generating Query Visualizations. Proc. VLDB Endow. 7(13): 1581-1584 (2014) - [c3]Rebecca Taft, Manasi Vartak, Nadathur Rajagopalan Satish, Narayanan Sundaram, Samuel Madden, Michael Stonebraker:
GenBase: a complex analytics genomics benchmark. SIGMOD Conference 2014: 177-188 - 2013
- [c2]Manasi Vartak, Samuel Madden:
CHIC: a combination-based recommendation system. SIGMOD Conference 2013: 981-984 - 2010
- [c1]Manasi Vartak, Venkatesh Raghavan, Elke A. Rundensteiner:
QRelX: generating meaningful queries that provide cardinality assurance. SIGMOD Conference 2010: 1215-1218
2000 – 2009
- 2009
- [j1]Leena M. Razzaq, Jozsef Patvarczki, Shane F. Almeida, Manasi Vartak, Mingyu Feng, Neil T. Heffernan
The ASSISTment Builder: Supporting the Life Cycle of Tutoring System Content Creation. IEEE Trans. Learn. Technol. 2(2): 157-166 (2009)
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