Valentyn Melnychuk

42 papers A* 13Journal 27Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Frequentist Consistency of Prior-Data Fitted Networks for Causal Inference. CoRR Valentyn Melnychuk, Vahid Balazadeh, Stefan Feuerriegel, Rahul G. Krishnan
2025	J	`jnl`	An Orthogonal Learner for Individualized Outcomes in Markov Decision Processes. CoRR Emil Javurek, Valentyn Melnychuk, Jonas Schweisthal, Konstantin Hess, Dennis Frauen, Stefan Feuerriegel
2025	J	`jnl`	Differentially Private Learners for Heterogeneous Treatment Effects. CoRR Maresa Schröder, Valentyn Melnychuk, Stefan Feuerriegel
2025	A*	`conf`	Differentially private learners for heterogeneous treatment effects. ICLR Maresa Schröder, Valentyn Melnychuk, Stefan Feuerriegel
2025	J	`jnl`	Efficient and Sharp Off-Policy Learning under Unobserved Confounding. CoRR Konstantin Hess, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
2025	J	`jnl`	GDR-learners: Orthogonal Learning of Generative Models for Potential Outcomes. CoRR Valentyn Melnychuk, Stefan Feuerriegel
2025	J	`jnl`	Orthogonal Representation Learning for Estimating Causal Quantities. CoRR Valentyn Melnychuk, Dennis Frauen, Jonas Schweisthal, Stefan Feuerriegel
2025	J	`jnl`	Overlap-Adaptive Regularization for Conditional Average Treatment Effect Estimation. CoRR Valentyn Melnychuk, Dennis Frauen, Jonas Schweisthal, Stefan Feuerriegel
2025	J	`jnl`	Treatment Effect Estimation for Optimal Decision-Making. CoRR Dennis Frauen, Valentyn Melnychuk, Jonas Schweisthal, Mihaela van der Schaar, Stefan Feuerriegel
2024	A*	`conf`	A Neural Framework for Generalized Causal Sensitivity Analysis. ICLR Dennis Frauen, Fergus Imrie, Alicia Curth, Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar
2024	A*	`conf`	Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation. ICLR Konstantin Hess, Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
2024	A*	`conf`	Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation. ICLR Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
2024	J	`jnl`	Causal machine learning for predicting treatment outcomes. CoRR Stefan Feuerriegel, Dennis Frauen, Valentyn Melnychuk, Jonas Schweisthal, Konstantin Hess, Alicia Curth, Stefan Bauer, Niki Kilbertus, Isaac S. Kohane, Mihaela van der Schaar
2024	J	`jnl`	Conformal Prediction for Causal Effects of Continuous Treatments. CoRR Maresa Schröder, Dennis Frauen, Jonas Schweisthal, Konstantin Hess, Valentyn Melnychuk, Stefan Feuerriegel
2024	A*	`conf`	DiffPO: A causal diffusion model for learning distributions of potential outcomes. NeurIPS Yuchen Ma, Valentyn Melnychuk, Jonas Schweisthal, Stefan Feuerriegel
2024	J	`jnl`	DiffPO: A causal diffusion model for learning distributions of potential outcomes. CoRR Yuchen Ma, Valentyn Melnychuk, Jonas Schweisthal, Stefan Feuerriegel
2024	A*	`conf`	Fair Off-Policy Learning from Observational Data. ICML Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
2024	J	`jnl`	G-Transformer for Conditional Average Potential Outcome Estimation over Time. CoRR Konstantin Hess, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
2024	A*	`conf`	Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner. NeurIPS Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar
2024	J	`jnl`	Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner. CoRR Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar
2023	J	`jnl`	A Neural Framework for Generalized Causal Sensitivity Analysis. CoRR Dennis Frauen, Fergus Imrie, Alicia Curth, Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar
2023	J	`jnl`	Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation. CoRR Konstantin Hess, Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
2023	J	`jnl`	Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation. CoRR Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
2023	J	`jnl`	Counterfactual Fairness for Predictions using Generative Adversarial Networks. CoRR Yuchen Ma, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
2023	A*	`conf`	Estimating Average Causal Effects from Patient Trajectories. AAAI Dennis Frauen, Tobias Hatt, Valentyn Melnychuk, Stefan Feuerriegel
2023	J	`jnl`	Fair Off-Policy Learning from Observational Data. CoRR Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
2023	A*	`conf`	Normalizing Flows for Interventional Density Estimation. ICML Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
2023	A*	`conf`	Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model. NeurIPS Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
2023	J	`jnl`	Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model. CoRR Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
2023	A*	`conf`	Reliable Off-Policy Learning for Dosage Combinations. NeurIPS Jonas Schweisthal, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
2023	J	`jnl`	Reliable Off-Policy Learning for Dosage Combinations. CoRR Jonas Schweisthal, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
2023	A*	`conf`	Sharp Bounds for Generalized Causal Sensitivity Analysis. NeurIPS Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
2023	J	`jnl`	Sharp Bounds for Generalized Causal Sensitivity Analysis. CoRR Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
2022	A*	`conf`	Causal Transformer for Estimating Counterfactual Outcomes. ICML Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
2022	J	`jnl`	Causal Transformer for Estimating Counterfactual Outcomes. CoRR Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
2022	J	`jnl`	Estimating average causal effects from patient trajectories. CoRR Dennis Frauen, Tobias Hatt, Valentyn Melnychuk, Stefan Feuerriegel
2022	J	`jnl`	Normalizing Flows for Interventional Density Estimation. CoRR Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
2020	—	`conf`	Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned. ECIR (2) Max Berrendorf, Evgeniy Faerman, Valentyn Melnychuk, Volker Tresp, Thomas Seidl
2020	—	`conf`	Matching the Clinical Reality: Accurate OCT-Based Diagnosis From Few Labels. CIKM (Workshops) Valentyn Melnychuk, Evgeniy Faerman, Ilja Manakov, Thomas Seidl
2020	J	`jnl`	Matching the Clinical Reality: Accurate OCT-Based Diagnosis From Few Labels. CoRR Valentyn Melnychuk, Evgeniy Faerman, Ilja Manakov, Thomas Seidl
2020	J	`jnl`	Unsupervised Anomaly Detection for X-Ray Images. CoRR Diana Davletshina, Valentyn Melnychuk, Viet Tran, Hitansh Singla, Max Berrendorf, Evgeniy Faerman, Michael Fromm, Matthias Schubert
2019	J	`jnl`	Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned. CoRR Max Berrendorf, Evgeniy Faerman, Valentyn Melnychuk, Volker Tresp, Thomas Seidl