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Valentyn Melnychuk
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2020 – today
- 2024
- [c12]Dennis Frauen, Fergus Imrie, Alicia Curth, Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar:
A Neural Framework for Generalized Causal Sensitivity Analysis. ICLR 2024 - [c11]Konstantin Hess, Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel:
Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation. ICLR 2024 - [c10]Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel:
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation. ICLR 2024 - [c9]Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel:
Fair Off-Policy Learning from Observational Data. ICML 2024 - [i18]Konstantin Hess, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel:
G-Transformer for Conditional Average Potential Outcome Estimation over Time. CoRR abs/2405.21012 (2024) - [i17]Maresa Schröder, Dennis Frauen, Jonas Schweisthal, Konstantin Hess, Valentyn Melnychuk, Stefan Feuerriegel:
Conformal Prediction for Causal Effects of Continuous Treatments. CoRR abs/2407.03094 (2024) - [i16]Stefan Feuerriegel, Dennis Frauen, Valentyn Melnychuk, Jonas Schweisthal, Konstantin Hess, Alicia Curth, Stefan Bauer, Niki Kilbertus, Isaac S. Kohane, Mihaela van der Schaar:
Causal machine learning for predicting treatment outcomes. CoRR abs/2410.08770 (2024) - [i15]Yuchen Ma, Valentyn Melnychuk, Jonas Schweisthal, Stefan Feuerriegel:
DiffPO: A causal diffusion model for learning distributions of potential outcomes. CoRR abs/2410.08924 (2024) - 2023
- [c8]Dennis Frauen, Tobias Hatt, Valentyn Melnychuk, Stefan Feuerriegel:
Estimating Average Causal Effects from Patient Trajectories. AAAI 2023: 7586-7594 - [c7]Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel:
Normalizing Flows for Interventional Density Estimation. ICML 2023: 24361-24397 - [c6]Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel:
Sharp Bounds for Generalized Causal Sensitivity Analysis. NeurIPS 2023 - [c5]Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel:
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model. NeurIPS 2023 - [c4]Jonas Schweisthal, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel:
Reliable Off-Policy Learning for Dosage Combinations. NeurIPS 2023 - [i14]Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel:
Fair Off-Policy Learning from Observational Data. CoRR abs/2303.08516 (2023) - [i13]Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel:
Sharp Bounds for Generalized Causal Sensitivity Analysis. CoRR abs/2305.16988 (2023) - [i12]Jonas Schweisthal, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel:
Reliable Off-Policy Learning for Dosage Combinations. CoRR abs/2305.19742 (2023) - [i11]Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel:
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model. CoRR abs/2306.01424 (2023) - [i10]Konstantin Hess, Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel:
Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation. CoRR abs/2310.17463 (2023) - [i9]Yuchen Ma, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel:
Counterfactual Fairness for Predictions using Generative Adversarial Networks. CoRR abs/2310.17687 (2023) - [i8]Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel:
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation. CoRR abs/2311.11321 (2023) - [i7]Dennis Frauen, Fergus Imrie, Alicia Curth, Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar:
A Neural Framework for Generalized Causal Sensitivity Analysis. CoRR abs/2311.16026 (2023) - 2022
- [c3]Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel:
Causal Transformer for Estimating Counterfactual Outcomes. ICML 2022: 15293-15329 - [i6]Dennis Frauen, Tobias Hatt, Valentyn Melnychuk, Stefan Feuerriegel:
Estimating average causal effects from patient trajectories. CoRR abs/2203.01228 (2022) - [i5]Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel:
Causal Transformer for Estimating Counterfactual Outcomes. CoRR abs/2204.07258 (2022) - [i4]Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel:
Normalizing Flows for Interventional Density Estimation. CoRR abs/2209.06203 (2022) - 2020
- [c2]Valentyn Melnychuk, Evgeniy Faerman, Ilja Manakov, Thomas Seidl:
Matching the Clinical Reality: Accurate OCT-Based Diagnosis From Few Labels. CIKM (Workshops) 2020 - [c1]Max Berrendorf
, Evgeniy Faerman, Valentyn Melnychuk
Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned. ECIR (2) 2020: 3-11 - [i3]Diana Davletshina, Valentyn Melnychuk
Unsupervised Anomaly Detection for X-Ray Images. CoRR abs/2001.10883 (2020) - [i2]Valentyn Melnychuk
Matching the Clinical Reality: Accurate OCT-Based Diagnosis From Few Labels. CoRR abs/2010.12316 (2020)
2010 – 2019
- 2019
- [i1]Max Berrendorf
Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned. CoRR abs/1911.08342 (2019)
Coauthor Index
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