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Miruna Oprescu
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Year
Orthogonal Random Forest for Causal Inference
M Oprescu, V Syrgkanis, ZS Wu
arXiv preprint arXiv:1806.03467, 2018
122*2018
EconML: a Python package for ML-based heterogeneous treatment effects estimation
K Battocchi, E Dillon, M Hei, G Lewis, P Oka, M Oprescu, V Syrgkanis
Version 0. x, 2019
922019
Machine learning estimation of heterogeneous treatment effects with instruments
V Syrgkanis, V Lei, M Oprescu, M Hei, K Battocchi, G Lewis
Advances in Neural Information Processing Systems 32, 2019
632019
Online learning with optimism and delay
GE Flaspohler, F Orabona, J Cohen, S Mouatadid, M Oprescu, ...
International Conference on Machine Learning, 3363-3373, 2021
282021
Causal inference and machine learning in practice with econml and causalml: Industrial use cases at microsoft, tripadvisor, uber
V Syrgkanis, G Lewis, M Oprescu, M Hei, K Battocchi, E Dillon, J Pan, ...
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021
222021
The REgolith X-Ray Imaging Spectrometer (REXIS) for OSIRIS-REx: identifying regional elemental enrichment on asteroids
B Allen, J Grindlay, J Hong, RP Binzel, R Masterson, NK Inamdar, ...
Optical Modeling and Performance Predictions VI 8840, 142-158, 2013
182013
Flexible and scalable deep learning with MMLSpark
M Hamilton, S Raghunathan, A Annavajhala, D Kirsanov, E Leon, ...
International Conference on Predictive Applications and APIs, 11-22, 2018
162018
Estimating the long-term effects of novel treatments
K Battocchi, E Dillon, M Hei, G Lewis, M Oprescu, V Syrgkanis
Advances in Neural Information Processing Systems 34, 2925-2935, 2021
152021
B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding
M Oprescu, J Dorn, M Ghoummaid, A Jesson, N Kallus, U Shalit
International Conference on Machine Learning (ICML) 202, 26599-26618, 2023
102023
Adaptive bias correction for improved subseasonal forecasting
S Mouatadid, P Orenstein, G Flaspohler, J Cohen, M Oprescu, E Fraenkel, ...
Nature Communications 14 (1), 3482, 2023
92023
Learned benchmarks for subseasonal forecasting
S Mouatadid, P Orenstein, G Flaspohler, M Oprescu, J Cohen, F Wang, ...
arXiv preprint arXiv:2109.10399, 2021
72021
EconML: A Machine Learning Library for Estimating Heterogeneous Treatment Effects
M Oprescu, V Syrgkanis, K Battocchi, M Hei, G Lewis
33rd Conference on Neural Information Processing Systems, 6, 2019
72019
Robust and Agnostic Learning of Conditional Distributional Treatment Effects
N Kallus, M Oprescu
International Conference on Artificial Intelligence and Statistics, 6037-6060, 2023
52023
RDataTracker and DDG Explorer-Capture, Visualization and Querying of Provenance from R Scripts.
BS Lerner, ER Boose
IPAW, 288-290, 2014
52014
Spectroscopic Classification of the SN in NGC 4790
A Soderberg, J Dittmann, B Claus, T Esty, S Harrison, T Kurcz, Y Michaels, ...
The Astronomer's Telegram 3968, 1, 2012
52012
SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking
S Mouatadid, P Orenstein, G Flaspohler, M Oprescu, J Cohen, F Wang, ...
Advances in Neural Information Processing Systems 36, 2024
32024
Low-Rank MDPs with Continuous Action Spaces
A Bennett, N Kallus, M Oprescu
arXiv preprint arXiv:2311.03564, 2023
12023
Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes
A Bennett, N Kallus, M Oprescu, W Sun, K Wang
arXiv preprint arXiv:2404.00099, 2024
2024
Adaptive Bias Correction for Improved Subseasonal Forecast
S Mouatadid, P Orenstein, GE Flaspohler, J Cohen, M Oprescu, ...
NeurIPS 2022 AI for Science: Progress and Promises, 2022
2022
MA11. 01 Multifactorial Model to Predict Response to PD-(L) 1 Blockade in Patients with High PD-L1 Metastatic Non-Small Cell Lung Cancer
K Arbour, M Oprescu, J Hakim, H Rizvi, M Leiserson, M Ginsburg, ...
Journal of Thoracic Oncology 14 (10), S290, 2019
2019
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