Miruna Oprescu
11 papers · 2019–2025 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (23)
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Century Club Β· Bronze
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Renaissance Researcher
(5)
ποΈ
Keyword Collector
(56)
Venues
Top co-authors
Research topics
Machine Learning
(9)
Optimization & Theory
(7)
Artificial Intelligence
(5)
Core AI
(5)
Learning Types
(5)
Core Methods
(4)
Reinforcement Learning
(2)
Methods
(2)
Data Science & Analytics
(1)
Deep Learning
(1)
Knowledge & Reasoning
(1)
Mathematics & Optimization
(1)
Application Areas
(1)
Applications Β· Reinforcement Learning
(1)
Applications Β· Data Science & Analytics
(1)
Keywords
causal inference
(7)
heterogeneous treatment effect
(4)
conditional average treatment effect
(3)
instrumental variable
(2)
pac learning
(1)
transformer
(1)
representation learning
(1)
interpolation
(1)
online learning
(1)
continuous action space
(1)
regret bound
(1)
asymptotic normality
(1)
deep neural network
(1)
delayed feedback
(1)
climate prediction
(1)
machine learning
(1)
robust markov decision process
(1)
subseasonal forecasting
(1)
hidden confounding
(1)
optimistic algorithm
(1)
Papers
SCENT: Robust Spatiotemporal Learning for Continuous Scientific Data via Scalable Conditioned Neural Fields
ICML 2025
Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes
NeurIPS 2024
Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data
NeurIPS 2024
Low-rank MDPs with Continuous Action Spaces
AISTATS 2024
B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding
ICML 2023
Robust and Agnostic Learning of Conditional Distributional Treatment Effects
AISTATS 2023
SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking
NeurIPS 2023
Estimating the Long-Term Effects of Novel Treatments
NeurIPS 2021
Online Learning with Optimism and Delay
ICML 2021
Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments
NeurIPS 2019
Orthogonal Random Forest for Causal Inference
ICML 2019