Theodore Vasiloudis

According to our database, Theodore Vasiloudis authored at least 14 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

GraphStorm: all-in-one graph machine learning framework for industry applications.

Da Zheng, Xiang Song, Qi Zhu, Jiani Zhang, Theodore Vasiloudis, Runjie Ma, Houyu Zhang, Zichen Wang, Soji Adeshina, Israt Nisa, Alejandro Mottini, Qingjun Cui, Huzefa Rangwala, Belinda Zeng, Christos Faloutsos, George Karypis

CoRR, 2024

GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications.

Da Zheng, Xiang Song, Qi Zhu, Jian Zhang, Theodore Vasiloudis, Runjie Ma, Houyu Zhang, Zichen Wang, Soji Adeshina, Israt Nisa, Alejandro Mottini, Qingjun Cui, Huzefa Rangwala, Belinda Zeng, Christos Faloutsos, George Karypis

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

TEM: High Utility Metric Differential Privacy on Text.

Ricardo Silva Carvalho, Theodore Vasiloudis, Oluwaseyi Feyisetan, Ke Wang

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

GraphStorm an Easy-to-use and Scalable Graph Neural Network Framework: From Beginners to Heroes.

Jian Zhang, Da Zheng, Xiang Song, Theodore Vasiloudis, Israt Nisa, Jim Lu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2021

TEM: High Utility Metric Differential Privacy on Text.

Ricardo Silva Carvalho, Theodore Vasiloudis, Oluwaseyi Feyisetan

CoRR, 2021

BRR: Preserving Privacy of Text Data Efficiently on Device.

Ricardo Silva Carvalho, Theodore Vasiloudis, Oluwaseyi Feyisetan

CoRR, 2021

2019

Scalable Machine Learning through Approximation and Distributed Computing.

Theodore Vasiloudis

PhD thesis, 2019

Quantifying Uncertainty in Online Regression Forests.

Theodore Vasiloudis, Gianmarco De Francisci Morales, Henrik Boström

J. Mach. Learn. Res., 2019

Block-distributed Gradient Boosted Trees.

Theodore Vasiloudis, Hyunsu Cho, Henrik Boström

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

2017

Domain-agnostic discovery of similarities and concepts at scale.

Olof Görnerup, Daniel Gillblad, Theodore Vasiloudis

Knowl. Inf. Syst., 2017

Predicting Session Length in Media Streaming.

Theodore Vasiloudis, Hossein Vahabi, Ross Kravitz, Valery Rashkov

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

BoostVHT: Boosting Distributed Streaming Decision Trees.

Theodore Vasiloudis, Foteini Beligianni, Gianmarco De Francisci Morales

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Mining Similarities and Concepts at Scale.

Olof Görnerup, Theodore Vasiloudis

ERCIM News, 2016

2015

Knowing an Object by the Company it Keeps: A Domain-Agnostic Scheme for Similarity Discovery.

Olof Görnerup, Daniel Gillblad, Theodore Vasiloudis

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015