Sofia Triantafyllou

According to our database, Sofia Triantafyllou authored at least 29 papers between 2007 and 2024.

Collaborative distances:

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

2024

Out-of-Sample Tuning for Causal Discovery.

Konstantina Biza, Ioannis Tsamardinos, Sofia Triantafillou

IEEE Trans. Neural Networks Learn. Syst., April, 2024

Towards Automated Causal Discovery: a case study on 5G telecommunication data.

Konstantina Biza, Antonios Ntroumpogiannis, Sofia Triantafillou, Ioannis Tsamardinos

CoRR, 2024

2023

Augmentation by Counterfactual Explanation -Fixing an Overconfident Classifier.

Sumedha Singla, Nihal Murali, Forough Arabshahi, Sofia Triantafyllou, Kayhan Batmanghelich

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Preface: The 2023 ACM SIGKDD Workshop on Causal Discovery, Prediction and Decision.

Thuc Duy Le, Jiuyong Li, Robert Ness, Sofia Triantafillou, Shohei Shimizu, Peng Cui, Kun Kuang, Jian Pei, Fei Wang, Mattia Prosperi

Proceedings of the KDD'23 Workshop on Causal Discovery, 2023

Learning Treatment Effects from Observational and Experimental Data.

Sofia Triantafillou, Fattaneh Jabbari, Gregory F. Cooper

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Preface: The 2022 ACM SIGKDD Workshop on Causal Discovery.

Thuc Duy Le, Lin Liu, Emre Kiciman, Sofia Triantafyllou, Huan Liu

Proceedings of the KDD'22 Workshop on Causal Discovery, 15 August 2022, Washington DC, USA, 2022

The KDD 2022 Workshop on Causal Discovery (CD2022).

Thuc Duy Le, Lin Liu, Emre Kiciman, Sofia Triantafyllou, Huan Liu

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Causal Markov Boundaries.

Sofia Triantafillou, Fattaneh Jabbari, Gregory Cooper

CoRR, 2021

Causal and interventional Markov boundaries.

Sofia Triantafillou, Fattaneh Jabbari, Gregory F. Cooper

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Using Causal Analysis for Conceptual Deep Learning Explanation.

Sumedha Singla, Stephen Wallace, Sofia Triantafillou, Kayhan Batmanghelich

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

The KDD 2021 Workshop on Causal Discovery (CD2021).

Thuc Duy Le, Jiuyong Li, Gregory Cooper, Sofia Triantafillou, Elias Bareinboim, Huan Liu, Negar Kiyavash

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Preface: The 2021 ACM SIGKDD Workshop on Causal Discovery.

Thuc Duy Le, Jiuyong Li, Gregory Cooper, Sofia Triantafyllou, Elias Bareinboim, Huan Liu, Negar Kiyavash

Proceedings of the KDD 2021 Workshop on Causal Discovery, 2021

Learning Adjustment Sets from Observational and Limited Experimental Data.

Sofia Triantafillou, Gregory Cooper

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Tuning Causal Discovery Algorithms.

Konstantina Biza, Ioannis Tsamardinos, Sofia Triantafillou

Proceedings of the International Conference on Probabilistic Graphical Models, 2020

2019

Rarely-switching linear bandits: optimization of causal effects for the real world.

Benjamin James Lansdell, Sofia Triantafillou, Konrad P. Körding

CoRR, 2019

2018

On scoring Maximal Ancestral Graphs with the Max-Min Hill Climbing algorithm.

Konstantinos Tsirlis, Vincenzo Lagani, Sofia Triantafillou, Ioannis Tsamardinos

Int. J. Approx. Reason., 2018

2016

Score-based vs Constraint-based Causal Learning in the Presence of Confounders.

Sofia Triantafillou, Ioannis Tsamardinos

Proceedings of the UAI 2016 Workshop on Causation: Foundation to Application co-located with the 32nd Conference on Uncertainty in Artificial Intelligence (UAI 2016), 2016

Marginal Causal Consistency in Constraint-based Causal Learning.

Anna Roumpelaki, Giorgos Borboudakis, Sofia Triantafillou, Ioannis Tsamardinos

Proceedings of the UAI 2016 Workshop on Causation: Foundation to Application co-located with the 32nd Conference on Uncertainty in Artificial Intelligence (UAI 2016), 2016

SCENERY: A Web-Based Application for Network Reconstruction and Visualization of Cytometry Data.

Giorgos Athineou, Giorgos Papoutsoglou, Sofia Triantafillou, Ioannis Basdekis, Vincenzo Lagani, Ioannis Tsamardinos

Proceedings of the 10th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2016

2015

Integrative causal analysis of heterogeneous data sets

Sofia Triantafyllou

PhD thesis, 2015

Constraint-based causal discovery from multiple interventions over overlapping variable sets.

Sofia Triantafillou, Ioannis Tsamardinos

J. Mach. Learn. Res., 2015

2014

Learning Neighborhoods of High Confidence in Constraint-Based Causal Discovery.

Sofia Triantafilou, Ioannis Tsamardinos, Anna Roumpelaki

Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014

2012

Towards Integrative Causal Analysis of Heterogeneous Data Sets and Studies.

Ioannis Tsamardinos, Sofia Triantafilou, Vincenzo Lagani

J. Mach. Learn. Res., 2012

Learning from Mixture of Experimental Data: A Constraint-Based Approach.

Vincenzo Lagani, Ioannis Tsamardinos, Sofia Triantafilou

Proceedings of the Artificial Intelligence: Theories and Applications, 2012

2011

A constraint-based approach to incorporate prior knowledge in causal models.

Giorgos Borboudakis, Sofia Triantafilou, Vincenzo Lagani, Ioannis Tsamardinos

Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

2010

Learning Causal Structure from Overlapping Variable Sets.

Sofia Triantafilou, Ioannis Tsamardinos, Ioannis G. Tollis

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

2009

DAGmaps: Space Filling Visualization of Directed Acyclic Graphs.

Vassilis Tsiaras, Sofia Triantafilou, Ioannis G. Tollis

J. Graph Algorithms Appl., 2009

2008

Visualization of Proofs in Defeasible Logic.

Ioannis Avguleas, Katerina Gkirtzou, Sofia Triantafilou, Antonis Bikakis, Grigoris Antoniou, Efstratios Kontopoulos, Nick Bassiliades

Proceedings of the Rule Representation, 2008

2007

Treemaps for Directed Acyclic Graphs.

Vassilis Tsiaras, Sofia Triantafilou, Ioannis G. Tollis

Proceedings of the Graph Drawing, 15th International Symposium, 2007