Working Papers:
- (2025) Inference with multi-outcome random forest [Draft] [GitHub code]
- (2025) Generative modeling: a review (with Nick Polson and Vadim Sokolov) [Draft] [arXiv]
- (2025) Understanding stellar luminosity with generative deep learning (with Nick Polson and Vadim Sokolov) [Draft] [arXiv for all] [GitHub Code] [YouTube Video for Kids] [Slides]
- (2025) Feature selection for personalized policy analysis (with Nick Polson and Vadim Sokolov) [arXiv] [GitHub code]
- (2025) Labor Market Impacts of the Green Transition: Evidence from a Contraction in the Oil Industry (with E. Isaksen and C. Garnache) [Working Paper]
Publications/Accepted Papers:
- (2024) Overeducation and Economic Mobility (with Knut Røed and Simen Markussen); Economics of Education Review [Link]
- (2024) Deep ensemble transformers for dimensionality reduction (with Marius Geitle); IEEE Transactions on Neural Networks and Learning Systems (impact factor) [Link] [Github Replication Code]
- (2023) Partial least squares for instrumental variable regression (with Nick Polson and Vadim Sokolov); Applied Stochastic Models in Business and Industry [Link]
Work in Progress:
- Generative Bayesian Computation for Causal Inference (with Nick Polson and Vadim Sokolov) [Preliminary Draft]
- Generative Quantile Bayesian Prediction (with Nick Polson and Vadim Sokolov)
- Generative modeling for distributional causal effects [Draft available upon request] (with Nick Polson and Vadim Sokolov)
- Voluntary Schooling and the Distribution of Economic Returns (with Knut Røed and Simen Markussen)
- Consequences of Green Transition (with Elisabeth Isaksen and Cloe Garnache)
- Debiased Conditional Independence Tests for Causal Effects (Susan Athey and Jann Spiess)
Maria Nareklishvili 