Valentyn Melnychuk
13 papers · 2022–2025 · 4 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (15) π Conference Polyglot (4) π Renaissance Researcher (7) π§ Keyword Pioneer
π§
Keyword Pioneer
π
Triple Crown
π
Grand Slam
π€
Dynamic Duo
(13)
β‘
Prolific Year
(5)
π
Century Club
(13)
Conferences
NIPS (5)
ICLR (4)
ICML (3)
AAAI (1)
Top co-authors
Keywords
causal inference
(6)
potential outcome
(2)
sensitivity analysis
(2)
normalizing flow
(2)
partial identification
(2)
treatment effect
(2)
time-varying confounder
(2)
diffusion model
(1)
dosage optimization
(1)
propensity score
(1)
personalized medicine
(1)
causal sensitivity analysis
(1)
selection bia
(1)
sharp bound
(1)
causal model
(1)
aleatoric uncertainty
(1)
unobserved confounding
(1)
counterfactual inference
(1)
heterogeneous treatment effect
(1)
average treatment effect
(1)
Papers
Differentially private learners for heterogeneous treatment effects
ICLR 2025
Fair Off-Policy Learning from Observational Data
ICML 2024
DiffPO: A causal diffusion model for learning distributions of potential outcomes
NIPS 2024
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner
NIPS 2024
Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation
ICLR 2024
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation
ICLR 2024
A Neural Framework for Generalized Causal Sensitivity Analysis
ICLR 2024
Normalizing Flows for Interventional Density Estimation
ICML 2023
Reliable Off-Policy Learning for Dosage Combinations
NIPS 2023
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model
NIPS 2023
Sharp Bounds for Generalized Causal Sensitivity Analysis
NIPS 2023
Estimating Average Causal Effects from Patient Trajectories
AAAI 2023
Causal Transformer for Estimating Counterfactual Outcomes
ICML 2022