Sofia Triantafillou

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 17

Top Topics

Experimental Data

Conditional Independence

Causal Discovery

Top Venues

Int. J. Approx. Reason.

Publications

Konstantina Biza, Antonios Ntroumpogiannis, Sofia Triantafillou, Ioannis Tsamardinos
Towards Automated Causal Discovery: a case study on 5G telecommunication data. CoRR (2024)
Konstantina Biza, Ioannis Tsamardinos, Sofia Triantafillou
Out-of-Sample Tuning for Causal Discovery. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Thuc Duy Le, Jiuyong Li, Robert Ness, Sofia Triantafillou, Shohei Shimizu, Peng Cui, Kun Kuang, Jian Pei, Fei Wang, Mattia Prosperi
Preface: The 2023 ACM SIGKDD Workshop on Causal Discovery, Prediction and Decision. CDPD (2023)
Sofia Triantafillou, Fattaneh Jabbari, Gregory F. Cooper
Learning Treatment Effects from Observational and Experimental Data. AISTATS (2023)
Sofia Triantafillou, Fattaneh Jabbari, Gregory F. Cooper
Causal and interventional Markov boundaries. UAI (2021)
Thuc Duy Le, Jiuyong Li, Gregory Cooper, Sofia Triantafillou, Elias Bareinboim, Huan Liu, Negar Kiyavash
The KDD 2021 Workshop on Causal Discovery (CD2021). KDD (2021)
Sumedha Singla, Stephen Wallace, Sofia Triantafillou, Kayhan Batmanghelich
Using Causal Analysis for Conceptual Deep Learning Explanation. MICCAI (3) (2021)
Sumedha Singla, Stephen Wallace, Sofia Triantafillou, Kayhan Batmanghelich
Using Causal Analysis for Conceptual Deep Learning Explanation. CoRR (2021)
Sofia Triantafillou, Fattaneh Jabbari, Gregory Cooper
Causal Markov Boundaries. CoRR (2021)
Sofia Triantafillou, Gregory Cooper
Learning Adjustment Sets from Observational and Limited Experimental Data. AAAI (2021)
Konstantina Biza, Ioannis Tsamardinos, Sofia Triantafillou
Tuning Causal Discovery Algorithms. PGM (2020)
Sofia Triantafillou, Gregory Cooper
Learning Adjustment Sets from Observational and Limited Experimental Data. CoRR (2020)
Benjamin James Lansdell, Sofia Triantafillou, Konrad P. Körding
Rarely-switching linear bandits: optimization of causal effects for the real world. CoRR (2019)
Konstantinos Tsirlis, Vincenzo Lagani, Sofia Triantafillou, Ioannis Tsamardinos
On scoring Maximal Ancestral Graphs with the Max-Min Hill Climbing algorithm. Int. J. Approx. Reason. 102 (2018)
Sofia Triantafillou, Ioannis Tsamardinos
Score-based vs Constraint-based Causal Learning in the Presence of Confounders. CFA@UAI (2016)
Giorgos Athineou, Giorgos Papoutsoglou, Sofia Triantafillou, Ioannis Basdekis, Vincenzo Lagani, Ioannis Tsamardinos
SCENERY: A Web-Based Application for Network Reconstruction and Visualization of Cytometry Data. PACBB (2016)
Anna Roumpelaki, Giorgos Borboudakis, Sofia Triantafillou, Ioannis Tsamardinos
Marginal Causal Consistency in Constraint-based Causal Learning. CFA@UAI (2016)
Sofia Triantafillou, Ioannis Tsamardinos
Constraint-based causal discovery from multiple interventions over overlapping variable sets. J. Mach. Learn. Res. 16 (2015)