Valentyn Melnychuk

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 27

Top Topics

Multi Directional

Sensitivity Analysis

Unsupervised Anomaly Detection

Top Venues

Publications

Dennis Frauen, Fergus Imrie, Alicia Curth, Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar
A Neural Framework for Generalized Causal Sensitivity Analysis. ICLR (2024)
Konstantin Hess, Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation. ICLR (2024)
Konstantin Hess, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
G-Transformer for Conditional Average Potential Outcome Estimation over Time. CoRR (2024)
Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation. ICLR (2024)
Maresa Schröder, Dennis Frauen, Jonas Schweisthal, Konstantin Hess, Valentyn Melnychuk, Stefan Feuerriegel
Conformal Prediction for Causal Effects of Continuous Treatments. CoRR (2024)
Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model. CoRR (2023)
Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model. NeurIPS (2023)
Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
Sharp Bounds for Generalized Causal Sensitivity Analysis. NeurIPS (2023)
Konstantin Hess, Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation. CoRR (2023)
Jonas Schweisthal, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
Reliable Off-Policy Learning for Dosage Combinations. CoRR (2023)
Yuchen Ma, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
Counterfactual Fairness for Predictions using Generative Adversarial Networks. CoRR (2023)
Jonas Schweisthal, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
Reliable Off-Policy Learning for Dosage Combinations. NeurIPS (2023)
Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
Sharp Bounds for Generalized Causal Sensitivity Analysis. CoRR (2023)
Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
Fair Off-Policy Learning from Observational Data. CoRR (2023)
Dennis Frauen, Tobias Hatt, Valentyn Melnychuk, Stefan Feuerriegel
Estimating Average Causal Effects from Patient Trajectories. AAAI (2023)
Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
Normalizing Flows for Interventional Density Estimation. ICML (2023)
Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation. CoRR (2023)
Dennis Frauen, Fergus Imrie, Alicia Curth, Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar
A Neural Framework for Generalized Causal Sensitivity Analysis. CoRR (2023)
Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
Causal Transformer for Estimating Counterfactual Outcomes. CoRR (2022)
Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
Causal Transformer for Estimating Counterfactual Outcomes. ICML (2022)
Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
Normalizing Flows for Interventional Density Estimation. CoRR (2022)
Dennis Frauen, Tobias Hatt, Valentyn Melnychuk, Stefan Feuerriegel
Estimating average causal effects from patient trajectories. CoRR (2022)
Valentyn Melnychuk, Evgeniy Faerman, Ilja Manakov, Thomas Seidl
Matching the Clinical Reality: Accurate OCT-Based Diagnosis From Few Labels. CIKM (Workshops) (2020)
Valentyn Melnychuk, Evgeniy Faerman, Ilja Manakov, Thomas Seidl
Matching the Clinical Reality: Accurate OCT-Based Diagnosis From Few Labels. CoRR (2020)
Max Berrendorf, Evgeniy Faerman, Valentyn Melnychuk, Volker Tresp, Thomas Seidl
Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned. ECIR (2) (2020)
Diana Davletshina, Valentyn Melnychuk, Viet Tran, Hitansh Singla, Max Berrendorf, Evgeniy Faerman, Michael Fromm, Matthias Schubert
Unsupervised Anomaly Detection for X-Ray Images. CoRR (2020)
Max Berrendorf, Evgeniy Faerman, Valentyn Melnychuk, Volker Tresp, Thomas Seidl
Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned. CoRR (2019)