Sofia Triantafillou

22 papers A* 2A 2Misc 1Journal 9Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Testing Identifiability and Transportability with Observational and Experimental Data.
CoRR
Konstantina Lelova, Gregory F. Cooper, Sofia Triantafillou
2024 — conf
ETIA: Towards an Automated Causal Discovery Pipeline.
DS (2)
Konstantina Biza, Antonios Ntroumpogiannis, Sofia Triantafillou, Ioannis Tsamardinos
2024 — conf
Learning Causal Markov Boundaries with Mixed Observational and Experimental Data.
PGM
Konstantina Lelova, Gregory F. Cooper, Sofia Triantafillou
2024 J jnl
Out-of-Sample Tuning for Causal Discovery.
IEEE Trans. Neural Networks Learn. Syst.
Konstantina Biza, Ioannis Tsamardinos, Sofia Triantafillou
2024 J jnl
Towards Automated Causal Discovery: a case study on 5G telecommunication data.
CoRR
Konstantina Biza, Antonios Ntroumpogiannis, Sofia Triantafillou, Ioannis Tsamardinos
2023 A conf
Learning Treatment Effects from Observational and Experimental Data.
AISTATS
Sofia Triantafillou, Fattaneh Jabbari, Gregory F. Cooper
2023 — conf
Preface: The 2023 ACM SIGKDD Workshop on Causal Discovery, Prediction and Decision.
CDPD
Thuc Duy Le, Jiuyong Li, Robert Osazuwa Ness, Sofia Triantafillou, Shohei Shimizu, Peng Cui, Kun Kuang, Jian Pei, Fei Wang, Mattia Prosperi
2023 — ed.
The KDD'23 Workshop on Causal Discovery, Prediction and Decision, 07 August 2023, Long Beach, CA, USA
CDPD
Thuc Duy Le, Jiuyong Li, Robert Osazuwa Ness, Sofia Triantafillou, Shohei Shimizu, Peng Cui, Kun Kuang, Jian Pei, Fei Wang, Mattia Prosperi
2021 J jnl
Causal Markov Boundaries.
CoRR
Sofia Triantafillou, Fattaneh Jabbari, Gregory F. Cooper
2021 A conf
Causal and interventional Markov boundaries.
UAI
Sofia Triantafillou, Fattaneh Jabbari, Gregory F. Cooper
2021 A* conf
Learning Adjustment Sets from Observational and Limited Experimental Data.
AAAI
Sofia Triantafillou, Gregory F. Cooper
2021 A* conf
The KDD 2021 Workshop on Causal Discovery (CD2021).
KDD
Thuc Duy Le, Jiuyong Li, Gregory F. Cooper, Sofia Triantafillou, Elias Bareinboim, Huan Liu, Negar Kiyavash
2021 — conf
Using Causal Analysis for Conceptual Deep Learning Explanation.
MICCAI (3)
Sumedha Singla, Stephen Wallace, Sofia Triantafillou, Kayhan Batmanghelich
2021 J jnl
Using Causal Analysis for Conceptual Deep Learning Explanation.
CoRR
Sumedha Singla, Stephen Wallace, Sofia Triantafillou, Kayhan Batmanghelich
2020 J jnl
Learning Adjustment Sets from Observational and Limited Experimental Data.
CoRR
Sofia Triantafillou, Gregory F. Cooper
2020 — conf
Tuning Causal Discovery Algorithms.
PGM
Konstantina Biza, Ioannis Tsamardinos, Sofia Triantafillou
2019 J jnl
Rarely-switching linear bandits: optimization of causal effects for the real world.
CoRR
Benjamin James Lansdell, Sofia Triantafillou, Konrad P. Körding
2018 J jnl
On scoring Maximal Ancestral Graphs with the Max-Min Hill Climbing algorithm.
Int. J. Approx. Reason.
Konstantinos Tsirlis, Vincenzo Lagani, Sofia Triantafillou, Ioannis Tsamardinos
2016 — conf
Marginal Causal Consistency in Constraint-based Causal Learning.
CFA@UAI
Anna Roumpelaki, Giorgos Borboudakis, Sofia Triantafillou, Ioannis Tsamardinos
2016 Misc conf
SCENERY: A Web-Based Application for Network Reconstruction and Visualization of Cytometry Data.
PACBB
Giorgos Athineou, Giorgos Papoutsoglou, Sofia Triantafillou, Ioannis Basdekis, Vincenzo Lagani, Ioannis Tsamardinos
2016 — conf
Score-based vs Constraint-based Causal Learning in the Presence of Confounders.
CFA@UAI
Sofia Triantafillou, Ioannis Tsamardinos
2015 J jnl
Constraint-based causal discovery from multiple interventions over overlapping variable sets.
J. Mach. Learn. Res.
Sofia Triantafillou, Ioannis Tsamardinos