Valentyn Melnychuk

Orcid: 0000-0002-2401-6803

According to our database1, Valentyn Melnychuk authored at least 16 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Conformal Prediction for Causal Effects of Continuous Treatments.
CoRR, 2024

G-Transformer for Conditional Average Potential Outcome Estimation over Time.
CoRR, 2024

Fair Off-Policy Learning from Observational Data.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Neural Framework for Generalized Causal Sensitivity Analysis.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Counterfactual Fairness for Predictions using Generative Adversarial Networks.
CoRR, 2023

Reliable Off-Policy Learning for Dosage Combinations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Sharp Bounds for Generalized Causal Sensitivity Analysis.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Normalizing Flows for Interventional Density Estimation.
Proceedings of the International Conference on Machine Learning, 2023

Estimating Average Causal Effects from Patient Trajectories.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Causal Transformer for Estimating Counterfactual Outcomes.
Proceedings of the International Conference on Machine Learning, 2022

2020
Unsupervised Anomaly Detection for X-Ray Images.
CoRR, 2020

Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned.
Proceedings of the Advances in Information Retrieval, 2020

Matching the Clinical Reality: Accurate OCT-Based Diagnosis From Few Labels.
Proceedings of the CIKM 2020 Workshops co-located with 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), 2020


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