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ORCIDSofia Triantafyllou
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2020 – today
- 2024
[j5]Konstantina Biza
, Ioannis Tsamardinos, Sofia Triantafillou:
Out-of-Sample Tuning for Causal Discovery. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4963-4973 (2024)- [i7]Konstantina Biza, Antonios Ntroumpogiannis, Sofia Triantafillou, Ioannis Tsamardinos:
Towards Automated Causal Discovery: a case study on 5G telecommunication data. CoRR abs/2402.14481 (2024) - 2023
- [c20]Sofia Triantafillou, Fattaneh Jabbari, Gregory F. Cooper:
Learning Treatment Effects from Observational and Experimental Data. AISTATS 2023: 7126-7146 - [c19]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: 1-2 - [c18]Sumedha Singla, Nihal Murali, Forough Arabshahi, Sofia Triantafyllou, Kayhan Batmanghelich:
Augmentation by Counterfactual Explanation -Fixing an Overconfident Classifier. WACV 2023: 4709-4719 - [e3]Thuc Duy Le, Jiuyong Li, Robert Ness, Sofia Triantafillou, Shohei Shimizu, Peng Cui, Kun Kuang, Jian Pei, Fei Wang, Mattia Prosperi:
The KDD'23 Workshop on Causal Discovery, Prediction and Decision, 07 August 2023, Long Beach, CA, USA. Proceedings of Machine Learning Research 218, PMLR 2023 [contents] - 2022
- [c17]Thuc Duy Le, Lin Liu, Emre Kiciman, Sofia Triantafyllou, Huan Liu:
The KDD 2022 Workshop on Causal Discovery (CD2022). KDD 2022: 4884-4885 - [c16]Thuc Duy Le, Lin Liu, Emre Kiciman, Sofia Triantafyllou, Huan Liu:
Preface: The 2022 ACM SIGKDD Workshop on Causal Discovery. CD@KDD 2022: 1-2 - [e2]Thuc Duy Le, Lin Liu, Emre Kiciman, Sofia Triantafyllou, Huan Liu:
The KDD'22 Workshop on Causal Discovery, 15 August 2022, Washington DC, USA. Proceedings of Machine Learning Research 185, PMLR 2022 [contents] - [i6]Sumedha Singla, Nihal Murali, Forough Arabshahi, Sofia Triantafyllou, Kayhan Batmanghelich:
Augmentation by Counterfactual Explanation - Fixing an Overconfident Classifier. CoRR abs/2210.12196 (2022) - 2021
- [c15]Sofia Triantafillou, Gregory Cooper:
Learning Adjustment Sets from Observational and Limited Experimental Data. AAAI 2021: 9940-9948 - [c14]Thuc Duy Le, Jiuyong Li, Gregory Cooper, Sofia Triantafyllou, Elias Bareinboim, Huan Liu, Negar Kiyavash:
Preface: The 2021 ACM SIGKDD Workshop on Causal Discovery. CD@KDD 2021: 1-2 - [c13]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: 4141-4142 - [c12]Sumedha Singla, Stephen Wallace, Sofia Triantafillou, Kayhan Batmanghelich:
Using Causal Analysis for Conceptual Deep Learning Explanation. MICCAI (3) 2021: 519-528 - [c11]Sofia Triantafillou, Fattaneh Jabbari, Gregory F. Cooper:
Causal and interventional Markov boundaries. UAI 2021: 1434-1443 - [e1]Thuc Duy Le, Jiuyong Li, Gregory Cooper, Sofia Triantafyllou, Elias Bareinboim, Huan Liu, Negar Kiyavash:
The KDD 2021 Workshop on Causal Discovery, CD@KDD 2021, Singapore, August 15, 2021. Proceedings of Machine Learning Research 150, PMLR 2021 [contents] - [i5]Sofia Triantafillou, Fattaneh Jabbari, Gregory Cooper:
Causal Markov Boundaries. CoRR abs/2103.07560 (2021) - [i4]Sumedha Singla, Stephen Wallace, Sofia Triantafillou, Kayhan Batmanghelich:
Using Causal Analysis for Conceptual Deep Learning Explanation. CoRR abs/2107.06098 (2021) - 2020
- [c10]Konstantina Biza, Ioannis Tsamardinos, Sofia Triantafillou:
Tuning Causal Discovery Algorithms. PGM 2020: 17-28 - [i3]Sofia Triantafillou, Gregory Cooper:
Learning Adjustment Sets from Observational and Limited Experimental Data. CoRR abs/2005.08749 (2020)
2010 – 2019
- 2019
- [i2]Benjamin James Lansdell, Sofia Triantafillou, Konrad P. Körding:
Rarely-switching linear bandits: optimization of causal effects for the real world. CoRR abs/1905.13121 (2019) - 2018
- [j4]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: 74-85 (2018) - 2016
- [c9]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: 203-211 - [c8]Anna Roumpelaki, Giorgos Borboudakis, Sofia Triantafillou, Ioannis Tsamardinos:
Marginal Causal Consistency in Constraint-based Causal Learning. CFA@UAI 2016: 39-47 - [c7]Sofia Triantafillou, Ioannis Tsamardinos:
Score-based vs Constraint-based Causal Learning in the Presence of Confounders. CFA@UAI 2016: 59-67 - 2015
- [b1]Sofia Triantafyllou:
Integrative causal analysis of heterogeneous data sets. University of Crete, Greece, 2015 - [j3]Sofia Triantafillou, Ioannis Tsamardinos:
Constraint-based causal discovery from multiple interventions over overlapping variable sets. J. Mach. Learn. Res. 16: 2147-2205 (2015) - 2014
- [c6]Sofia Triantafilou, Ioannis Tsamardinos, Anna Roumpelaki:
Learning Neighborhoods of High Confidence in Constraint-Based Causal Discovery. Probabilistic Graphical Models 2014: 487-502 - [i1]Sofia Triantafilou, Ioannis Tsamardinos:
Constraint-based Causal Discovery from Multiple Interventions over Overlapping Variable Sets. CoRR abs/1403.2150 (2014) - 2012
- [j2]Ioannis Tsamardinos, Sofia Triantafilou, Vincenzo Lagani:
Towards Integrative Causal Analysis of Heterogeneous Data Sets and Studies. J. Mach. Learn. Res. 13: 1097-1157 (2012) - [c5]Vincenzo Lagani, Ioannis Tsamardinos, Sofia Triantafilou:
Learning from Mixture of Experimental Data: A Constraint-Based Approach. SETN 2012: 124-131 - 2011
- [c4]Giorgos Borboudakis, Sofia Triantafilou, Vincenzo Lagani, Ioannis Tsamardinos:
A constraint-based approach to incorporate prior knowledge in causal models. ESANN 2011 - 2010
- [c3]Sofia Triantafilou, Ioannis Tsamardinos, Ioannis G. Tollis:
Learning Causal Structure from Overlapping Variable Sets. AISTATS 2010: 860-867
2000 – 2009
- 2009
- [j1]Vassilis Tsiaras, Sofia Triantafilou, Ioannis G. Tollis:
DAGmaps: Space Filling Visualization of Directed Acyclic Graphs. J. Graph Algorithms Appl. 13(3): 319-347 (2009) - 2008
- [c2]Ioannis Avguleas, Katerina Gkirtzou, Sofia Triantafilou, Antonis Bikakis, Grigoris Antoniou, Efstratios Kontopoulos, Nick Bassiliades:
Visualization of Proofs in Defeasible Logic. RuleML 2008: 197-210 - 2007
- [c1]Vassilis Tsiaras, Sofia Triantafilou, Ioannis G. Tollis:
Treemaps for Directed Acyclic Graphs. GD 2007: 377-388
Coauthor Index
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last updated on 2024-06-10 21:22 CEST by the dblp team
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