Theodoros Rekatsinas
Theodoros Rekatsinas
Apple, ETH Zurich
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Deep learning for entity matching: A design space exploration
S Mudgal, H Li, T Rekatsinas, AH Doan, Y Park, G Krishnan, R Deep, ...
Proceedings of the 2018 International Conference on Management of Data, 19-34, 2018
3062018
Holoclean: Holistic data repairs with probabilistic inference
T Rekatsinas, X Chu, IF Ilyas, C Ré
arXiv preprint arXiv:1702.00820, 2017
2692017
HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades
X He, T Rekatsinas, J Foulds, L Getoor, Y Liu
1052015
Characterizing and selecting fresh data sources
T Rekatsinas, XL Dong, D Srivastava
Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014
832014
Data integration and machine learning: A natural synergy
XL Dong, T Rekatsinas
Proceedings of the 2018 international conference on management of data, 1645 …, 2018
792018
Fonduer: Knowledge base construction from richly formatted data
S Wu, L Hsiao, X Cheng, B Hancock, T Rekatsinas, P Levis, C Ré
Proceedings of the 2018 international conference on management of data, 1301 …, 2018
752018
Holodetect: Few-shot learning for error detection
A Heidari, J McGrath, IF Ilyas, T Rekatsinas
Proceedings of the 2019 International Conference on Management of Data, 829-846, 2019
652019
Finding Quality in Quantity: The Challenge of Discovering Valuable Sources for Integration.
T Rekatsinas, XL Dong, L Getoor, D Srivastava
CIDR, 2015
572015
Slimfast: Guaranteed results for data fusion and source reliability
T Rekatsinas, M Joglekar, H Garcia-Molina, A Parameswaran, C Ré
Proceedings of the 2017 ACM International Conference on Management of Data …, 2017
532017
SourceSeer: Forecasting Rare Disease Outbreaks Using Multiple Data Sources
T Rekatsinas, S Ghosh, SR Mekaru, EO Nsoesie, JS Brownstein, L Getoor, ...
Timeline 7, 8, 2015
352015
A formal framework for probabilistic unclean databases
C De Sa, IF Ilyas, B Kimelfeld, C Ré, T Rekatsinas
arXiv preprint arXiv:1801.06750, 2018
342018
Multi-relational learning using weighted tensor decomposition with modular loss
B London, T Rekatsinas, B Huang, L Getoor
arXiv preprint arXiv:1303.1733, 2013
242013
Attention-based learning for missing data imputation in holoclean
R Wu, A Zhang, I Ilyas, T Rekatsinas
Proceedings of Machine Learning and Systems 2, 307-325, 2020
222020
Sparsi: Partitioning sensitive data amongst multiple adversaries
T Rekatsinas, A Deshpande, A Machanavajjhala
Proceedings of the VLDB Endowment 6 (13), 1594-1605, 2013
192013
Sysml: The new frontier of machine learning systems
A Ratner, D Alistarh, G Alonso, DG Andersen, P Bailis, S Bird, N Carlini, ...
162019
Sourcesight: Enabling effective source selection
T Rekatsinas, A Deshpande, XL Dong, L Getoor, D Srivastava
Proceedings of the 2016 International Conference on Management of Data, 2157 …, 2016
142016
Local structure and determinism in probabilistic databases
T Rekatsinas, A Deshpande, L Getoor
Proceedings of the 2012 ACM SIGMOD International Conference on Management of …, 2012
102012
Data-dependent differentially private parameter learning for directed graphical models
AR Chowdhury, T Rekatsinas, S Jha
International Conference on Machine Learning, 1939-1951, 2020
92020
A statistical perspective on discovering functional dependencies in noisy data
Y Zhang, Z Guo, T Rekatsinas
Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020
9*2020
StoryPivot: comparing and contrasting story evolution
A Gruenheid, D Kossmann, T Rekatsinas, D Srivastava
Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015
92015
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