Theodore Vasiloudis

18 papers A* 5A 2Journal 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Feedback Control for Multi-Objective Graph Self-Supervision.
CoRR
Karish Grover, Theodore Vasiloudis, Han Xie, Sixing Lu, Xiang Song, Christos Faloutsos
2025 J jnl
Dynamic Mixture-of-Experts for Incremental Graph Learning.
CoRR
Lecheng Kong, Theodore Vasiloudis, Seongjun Yun, Han Xie, Xiang Song
2024 A* conf
GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications.
KDD
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
2024 J jnl
GraphStorm: all-in-one graph machine learning framework for industry applications.
CoRR
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
2023 A* conf
GraphStorm an Easy-to-use and Scalable Graph Neural Network Framework: From Beginners to Heroes.
KDD
Jian Zhang, Da Zheng, Xiang Song, Theodore Vasiloudis, Israt Nisa, Jim Lu
2023 A conf
TEM: High Utility Metric Differential Privacy on Text.
SDM
Ricardo Silva Carvalho, Theodore Vasiloudis, Oluwaseyi Feyisetan, Ke Wang
2021 J jnl
BRR: Preserving Privacy of Text Data Efficiently on Device.
CoRR
Ricardo Silva Carvalho, Theodore Vasiloudis, Oluwaseyi Feyisetan
2021 J jnl
TEM: High Utility Metric Differential Privacy on Text.
CoRR
Ricardo Silva Carvalho, Theodore Vasiloudis, Oluwaseyi Feyisetan
2019 A* conf
Block-distributed Gradient Boosted Trees.
SIGIR
Theodore Vasiloudis, Hyunsu Cho, Henrik Boström
2019 J jnl
Block-distributed Gradient Boosted Trees.
CoRR
Theodore Vasiloudis, Hyunsu Cho, Henrik Boström
2019 J jnl
Quantifying Uncertainty in Online Regression Forests.
J. Mach. Learn. Res.
Theodore Vasiloudis, Gianmarco De Francisci Morales, Henrik Boström
2019 — —
Scalable Machine Learning through Approximation and Distributed Computing.
Theodore Vasiloudis
2017 A conf
BoostVHT: Boosting Distributed Streaming Decision Trees.
CIKM
Theodore Vasiloudis, Foteini Beligianni, Gianmarco De Francisci Morales
2017 J jnl
Domain-agnostic discovery of similarities and concepts at scale.
Knowl. Inf. Syst.
Olof Görnerup, Daniel Gillblad, Theodore Vasiloudis
2017 A* conf
Predicting Session Length in Media Streaming.
SIGIR
Theodore Vasiloudis, Hossein Vahabi, Ross Kravitz, Valery Rashkov
2017 J jnl
Predicting Session Length in Media Streaming.
CoRR
Theodore Vasiloudis, Hossein Vahabi, Ross Kravitz, Valery Rashkov
2016 J jnl
Mining Similarities and Concepts at Scale.
ERCIM News
Olof Görnerup, Theodore Vasiloudis
2015 A* conf
Knowing an Object by the Company it Keeps: A Domain-Agnostic Scheme for Similarity Discovery.
ICDM
Olof Görnerup, Daniel Gillblad, Theodore Vasiloudis