Theodoros Rekatsinas
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
30
Venues
15
Active years
2012–2025
Best venue rank
A*
Where they publish
Papers
30 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICDE | MLKV: Efficiently Scaling up Large Embedding Model Training with Disk-based Key-Value Storage. | Yongjun He, Roger Waleffe, Zhichao Han, Johnu George, Binhang Yuan, Zitao Zhang, Yinan Shan, Yang Zhao, Debojyoti Dutta, Theodoros Rekatsinas, Ce Zhang |
| 2025 | OSDI | Quake: Adaptive Indexing for Vector Search. | Jason Mohoney, Devesh Sarda, Mengze Tang, Shihabur Rahman Chowdhury, Anil Pacaci, Ihab F. Ilyas, Theodoros Rekatsinas, Shivaram Venkataraman |
| 2024 | COLING | Construction of Paired Knowledge Graph - Text Datasets Informed by Cyclic Evaluation. | Ali Mousavi, Xin Zhan, He Bai, Peng Shi, Theodoros Rekatsinas, Benjamin Han, Yunyao Li, Jeffrey Pound, Joshua M. Susskind, Natalie Schluter, Ihab F. Ilyas, Navdeep Jaitly |
| 2024 | ICLR | Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning. | Patrik Okanovic, Roger Waleffe, Vasilis Mageirakos, Konstantinos E. Nikolakakis, Amin Karbasi, Dionysios S. Kalogerias, Nezihe Merve Grel, Theodoros Rekatsinas |
| 2023 | EuroSys | MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks. | Roger Waleffe, Jason Mohoney, Theodoros Rekatsinas, Shivaram Venkataraman |
| 2023 | SC | Co-design Hardware and Algorithm for Vector Search. | Wenqi Jiang, Shigang Li, Yu Zhu, Johannes de Fine Licht, Zhenhao He, Runbin Shi, Cdric Renggli, Shuai Zhang, Theodoros Rekatsinas, Torsten Hoefler, Gustavo Alonso |
| 2023 | SIGMOD | Growing and Serving Large Open-domain Knowledge Graphs. | Ihab F. Ilyas, J. P. Lacerda, Yunyao Li, Umar Farooq Minhas, Ali Mousavi, Jeffrey Pound, Theodoros Rekatsinas, Chiraag Sumanth |
| 2022 | CIDR | Can Transfer Learning be used to build a Query Optimizer? | Yunjia Zhang, Yannis Chronis, Jignesh M. Patel, Theodoros Rekatsinas |
| 2022 | SIGMOD | Saga: A Platform for Continuous Construction and Serving of Knowledge at Scale. | Ihab F. Ilyas, Theodoros Rekatsinas, Vishnu Konda, Jeffrey Pound, Xiaoguang Qi, Mohamed A. Soliman |
| 2021 | ICML | On Robust Mean Estimation under Coordinate-level Corruption. | Zifan Liu, Jongho Park, Theodoros Rekatsinas, Christos Tzamos |
| 2021 | OSDI | Marius: Learning Massive Graph Embeddings on a Single Machine. | Jason Mohoney, Roger Waleffe, Henry Xu, Theodoros Rekatsinas, Shivaram Venkataraman |
| 2020 | EMNLP | Unsupervised Relation Extraction from Language Models using Constrained Cloze Completion. | Ankur Goswami, Akshata Bhat, Hadar Ohana, Theodoros Rekatsinas |
| 2020 | ICML | Data-Dependent Differentially Private Parameter Learning for Directed Graphical Models. | Amrita Roy Chowdhury, Theodoros Rekatsinas, Somesh Jha |
| 2020 | SIGMOD | A Statistical Perspective on Discovering Functional Dependencies in Noisy Data. | Yunjia Zhang, Zhihan Guo, Theodoros Rekatsinas |
| 2019 | CIKM | CRUX: Adaptive Querying for Efficient Crowdsourced Data Extraction. | Theodoros Rekatsinas, Amol Deshpande, Aditya G. Parameswaran |
| 2019 | ICDT | A Formal Framework for Probabilistic Unclean Databases. | Christopher De Sa, Ihab F. Ilyas, Benny Kimelfeld, Christopher R, Theodoros Rekatsinas |
| 2019 | KDD | Data Integration and Machine Learning: A Natural Synergy. | Xin Luna Dong, Theodoros Rekatsinas |
| 2019 | SIGMOD | HoloDetect: Few-Shot Learning for Error Detection. | Alireza Heidari, Joshua McGrath, Ihab F. Ilyas, Theodoros Rekatsinas |
| 2019 | UAI | Approximate Inference in Structured Instances with Noisy Categorical Observations. | Alireza Heidari, Ihab F. Ilyas, Theodoros Rekatsinas |
| 2018 | SIGMOD | Fonduer: Knowledge Base Construction from Richly Formatted Data. | Sen Wu, Luke Hsiao, Xiao Cheng, Braden Hancock, Theodoros Rekatsinas, Philip Alexander Levis, Christopher R |
| 2018 | SIGMOD | Data Integration and Machine Learning: A Natural Synergy. | Xin Luna Dong, Theodoros Rekatsinas |
| 2018 | SIGMOD | Deep Learning for Entity Matching: A Design Space Exploration. | Sidharth Mudgal, Han Li, Theodoros Rekatsinas, AnHai Doan, Youngchoon Park, Ganesh Krishnan, Rohit Deep, Esteban Arcaute, Vijay Raghavendra |
| 2017 | SIGMOD | SLiMFast: Guaranteed Results for Data Fusion and Source Reliability. | Theodoros Rekatsinas, Manas Joglekar, Hector Garcia-Molina, Aditya G. Parameswaran, Christopher R |
| 2016 | SIGMOD | SourceSight: Enabling Effective Source Selection. | Theodoros Rekatsinas, Amol Deshpande, Xin Luna Dong, Lise Getoor, Divesh Srivastava |
| 2015 | CIDR | Finding Quality in Quantity: The Challenge of Discovering Valuable Sources for Integration. | Theodoros Rekatsinas, Xin Luna Dong, Lise Getoor, Divesh Srivastava |
| 2015 | ICML | HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades. | Xinran He, Theodoros Rekatsinas, James R. Foulds, Lise Getoor, Yan Liu |
| 2015 | SIGMOD | StoryPivot: Comparing and Contrasting Story Evolution. | Anja Gruenheid, Donald Kossmann, Theodoros Rekatsinas, Divesh Srivastava |
| 2015 | SDM | SourceSeer: Forecasting Rare Disease Outbreaks Using Multiple Data Sources. | Theodoros Rekatsinas, Saurav Ghosh, Sumiko R. Mekaru, Elaine O. Nsoesie, John S. Brownstein, Lise Getoor, Naren Ramakrishnan |
| 2014 | SIGMOD | Characterizing and selecting fresh data sources. | Theodoros Rekatsinas, Xin Luna Dong, Divesh Srivastava |
| 2012 | SIGMOD | Local structure and determinism in probabilistic databases. | Theodoros Rekatsinas, Amol Deshpande, Lise Getoor |