Vy Vo

According to our database, Vy Vo authored at least 11 papers between 2022 and 2025.

Collaborative distances:

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

2025

Why Domain Generalization Fail? A View of Necessity and Sufficiency.

Long Tung Vuong, Vy Vo, Hien Dang, Van-Anh Nguyen, Thanh-Toan Do, Mehrtash Harandi, Trung Le, Dinh Q. Phung

CoRR, February, 2025

ACCESS : A Benchmark for Abstract Causal Event Discovery and Reasoning.

Vy Vo, Lizhen Qu, Tao Feng, Yuncheng Hua, Xiaoxi Kang, Songhai Fan, Tim Dwyer, Lay-Ki Soon, Gholamreza Haffari

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation.

Tung-Long Vuong, Hoang Phan, Vy Vo, Anh Bui, Thanh-Toan Do, Trung Le, Dinh Phung

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Diversity-Aware Agnostic Ensemble of Sharpness Minimizers.

Anh Bui, Vy Vo, Tung Pham, Dinh Q. Phung, Trung Le

CoRR, 2024

Parameter Estimation in DAGs from Incomplete Data via Optimal Transport.

Vy Vo, Trung Le, Long Tung Vuong, He Zhao, Edwin V. Bonilla, Dinh Phung

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Optimal Transport for Structure Learning Under Missing Data.

Vy Vo, He Zhao, Trung Le, Edwin V. Bonilla, Dinh Phung

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Learning Directed Graphical Models with Optimal Transport.

Vy Vo, Trung Le, Long Tung Vuong, He Zhao, Edwin V. Bonilla, Dinh Q. Phung

CoRR, 2023

Feature-based Learning for Diverse and Privacy-Preserving Counterfactual Explanations.

Vy Vo, Trung Le, Van Nguyen, He Zhao, Edwin V. Bonilla, Gholamreza Haffari, Dinh Q. Phung

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

An Additive Instance-Wise Approach to Multi-class Model Interpretation.

Vy Vo, Van Nguyen, Trung Le, Quan Hung Tran, Gholamreza Haffari, Seyit Camtepe, Dinh Phung

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Learning to Counter: Stochastic Feature-based Learning for Diverse Counterfactual Explanations.

Vy Vo, Trung Le, Van Nguyen, He Zhao, Edwin V. Bonilla, Gholamreza Haffari, Dinh Q. Phung

CoRR, 2022

Unsupervised Sentence Simplification via Dependency Parsing.

Vy Vo, Weiqing Wang, Wray L. Buntine

CoRR, 2022