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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
, Jennie Duggan
, Mike Stonebraker, Magdalena Balazinska, Ugur Çetintemel, Vijay Gadepally, Jeffrey Heer, Bill Howe, Jeremy Kepner, Tim Kraska, Samuel Madden, David Maier, Timothy G. Mattson, Stavros Papadopoulos, Jeff Parkhurst, Nesime Tatbul, Manasi Vartak, Stan Zdonik:
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
, Neoklis Polyzotis:
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
, Neoklis Polyzotis:
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
, Kenneth R. Koedinger:
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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