Bao Duong

43 papers A* 7A 5B 1Journal 23Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Neural Autoregressive Flows for Markov Boundary Learning.
CoRR
Khoa Nguyen, Bao Duong, Viet Huynh, Thin Nguyen
2025 — conf
Amortized Conditional Independence Testing.
PAKDD (1)
Bao Duong, Nu Hoang, Thin Nguyen
2025 J jnl
Amortized Conditional Independence Testing.
CoRR
Bao Duong, Nu Hoang, Thin Nguyen
2025 A* conf
Causal Discovery via Bayesian Optimization.
ICLR
Bao Duong, Sunil Gupta, Thin Nguyen
2025 J jnl
Causal Discovery via Bayesian Optimization.
CoRR
Bao Duong, Sunil Gupta, Thin Nguyen
2025 A* conf
Identifying Causal Direction via Variational Bayesian Compression.
ICML
Quang-Duy Tran, Bao Duong, Phuoc Nguyen, Thin Nguyen
2025 J jnl
Identifying Causal Direction via Variational Bayesian Compression.
CoRR
Quang-Duy Tran, Bao Duong, Phuoc Nguyen, Thin Nguyen
2025 A* conf
Neural Autoregressive Flows for Markov Boundary Learning.
ICDM
Khoa Nguyen, Bao Duong, Viet Huynh, Thin Nguyen
2025 J jnl
Reinforcement Learning for Causal Discovery without Acyclicity Constraints.
Trans. Mach. Learn. Res.
Bao Duong, Hung Le, Biwei Huang, Thin Nguyen
2024 J jnl
ALIAS: DAG Learning with Efficient Unconstrained Policies.
CoRR
Bao Duong, Hung Le, Thin Nguyen
2024 J jnl
Class-incremental learning with causal relational replay.
Expert Syst. Appl.
Toan Nguyen, Duc Kieu, Bao Duong, Tung Kieu, Kien Do, Thin Nguyen, Bac Le
2024 J jnl
Constraining acyclicity of differentiable Bayesian structure learning with topological ordering.
Knowl. Inf. Syst.
Quang-Duy Tran, Phuoc Nguyen, Bao Duong, Thin Nguyen
2024 A conf
Domain Generalisation via Risk Distribution Matching.
WACV
Toan Nguyen, Kien Do, Bao Duong, Thin Nguyen
2024 A conf
Enabling Causal Discovery in Post-Nonlinear Models with Normalizing Flows.
ECAI
Nu Hoang, Bao Duong, Thin Nguyen
2024 J jnl
Enabling Causal Discovery in Post-Nonlinear Models with Normalizing Flows.
CoRR
Nu Hoang, Bao Duong, Thin Nguyen
2024 — conf
Ethical Perception of AI-powered Information Security Technology.
AMCIS
Bao Duong
2024 J jnl
Normalizing flows for conditional independence testing.
Knowl. Inf. Syst.
Bao Duong, Thin Nguyen
2024 A conf
Robust Estimation of Causal Heteroscedastic Noise Models.
SDM
Quang-Duy Tran, Bao Duong, Phuoc Nguyen, Thin Nguyen
2024 A conf
Scalable Variational Causal Discovery Unconstrained by Acyclicity.
ECAI
Nu Hoang, Bao Duong, Thin Nguyen
2024 J jnl
Scalable Variational Causal Discovery Unconstrained by Acyclicity.
CoRR
Nu Hoang, Bao Duong, Thin Nguyen
2023 A* conf
Causal Inference via Style Transfer for Out-of-distribution Generalisation.
KDD
Toan Nguyen, Kien Do, Duc Thanh Nguyen, Bao Duong, Thin Nguyen
2023 A* conf
Diffeomorphic Information Neural Estimation.
AAAI
Bao Duong, Thin Nguyen
2023 A* conf
Differentiable Bayesian Structure Learning with Acyclicity Assurance.
ICDM
Quang-Duy Tran, Phuoc Nguyen, Bao Duong, Thin Nguyen
2023 J jnl
Differentiable Bayesian Structure Learning with Acyclicity Assurance.
CoRR
Quang-Duy Tran, Phuoc Nguyen, Bao Duong, Thin Nguyen
2023 J jnl
Distress Coping Responses Among Teleworkers.
IEEE Trans. Prof. Commun.
Bao Duong, Jaeung Lee, Craig Van Slyke, T. Selwyn Ellis
2023 J jnl
Domain Generalisation via Risk Distribution Matching.
CoRR
Toan Nguyen, Kien Do, Bao Duong, Thin Nguyen
2023 A conf
Heteroscedastic Causal Structure Learning.
ECAI
Bao Duong, Thin Nguyen
2023 J jnl
Heteroscedastic Causal Structure Learning.
CoRR
Bao Duong, Thin Nguyen
2023 J jnl
Robust Estimation of Causal Heteroscedastic Noise Models.
CoRR
Quang-Duy Tran, Bao Duong, Phuoc Nguyen, Thin Nguyen
2023 J jnl
Social Media in Emerging Economies: A Cross-Cultural Comparison.
IEEE Trans. Comput. Soc. Syst.
Thomas F. Stafford, Bao Duong
2022 — conf
Bivariate Causal Discovery via Conditional Divergence.
CLeaR
Bao Duong, Thin Nguyen
2022 B conf
Causality-aided Recommendation Systems.
IJCNN
Tri Minh Nguyen, Azhar Mohammed, Bao Duong, Thin Nguyen
2022 A* conf
Conditional Independence Testing via Latent Representation Learning.
ICDM
Bao Duong, Thin Nguyen
2022 J jnl
Conditional Independence Testing via Latent Representation Learning.
CoRR
Bao Duong, Thin Nguyen
2022 J jnl
Diffeomorphic Information Neural Estimation.
CoRR
Bao Duong, Thin Nguyen
2022 — conf
Efficient Classification with Counterfactual Reasoning and Active Learning.
ACIIDS (1)
Azhar Mohammed, Dang Nguyen, Bao Duong, Thin Nguyen
2022 J jnl
Efficient Classification with Counterfactual Reasoning and Active Learning.
CoRR
Azhar Mohammed, Dang Nguyen, Bao Duong, Thin Nguyen
2022 J jnl
Eustress and Distress in the Context of Telework.
Inf. Resour. Manag. J.
Craig Van Slyke, Jae Ung Lee, Bao Duong, T. Selwyn Ellis
2022 J jnl
Front-door Adjustment via Style Transfer for Out-of-distribution Generalisation.
CoRR
Toan Nguyen, Kien Do, Duc Thanh Nguyen, Bao Duong, Thin Nguyen
2022 — conf
Handling Missing Data with Markov Boundary.
ADMA (1)
Azhar Mohammed, Dang Nguyen, Bao Duong, Melanie Nichols, Thin Nguyen
2022 J jnl
Telework Distress and Eustress Among Chinese Teleworkers.
J. Glob. Inf. Manag.
Craig Van Slyke, Jaeung Lee, Bao Duong, Xiangyang Ma, Hao Lou
2020 — conf
Impact of Security-related Stress and Affective Distress on Information Security Policy Compliance.
AMCIS
Bao Duong
2019 — conf
How much is your private information? Does Privacy Calculus Matter?
AMCIS
Bao Duong, Sung Simon Jin, Jaeung Lee