Oprescu, Miruna

15 publications

NeurIPS 2025 Efficient Adaptive Experimentation with Noncompliance Miruna Oprescu, Brian M Cho, Nathan Kallus

NeurIPS 2025 GST-UNet: A Neural Framework for Spatiotemporal Causal Inference with Time-Varying Confounding Miruna Oprescu, David Keetae Park, Xihaier Luo, Shinjae Yoo, Nathan Kallus

ICML 2025 SCENT: Robust Spatiotemporal Learning for Continuous Scientific Data via Scalable Conditioned Neural Fields David Keetae Park, Xihaier Luo, Guang Zhao, Seungjun Lee, Miruna Oprescu, Shinjae Yoo

NeurIPS 2024 Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes Andrew Bennett, Nathan Kallus, Miruna Oprescu, Wen Sun, Kaiwen Wang

NeurIPS 2024 Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data Miruna Oprescu, Nathan Kallus

AISTATS 2024 Low-Rank MDPs with Continuous Action Spaces Miruna Oprescu, Andrew Bennett, Nathan Kallus

ICMLW 2023 Adaptive Bias Correction for Improved Subseasonal Forecasting Soukayna Mouatadid, Paulo Orenstein, Genevieve Elaine Flaspohler, Judah Cohen, Miruna Oprescu, Ernest Fraenkel, Lester Mackey

ICML 2023 B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding Miruna Oprescu, Jacob Dorn, Marah Ghoummaid, Andrew Jesson, Nathan Kallus, Uri Shalit

AISTATS 2023 Robust and Agnostic Learning of Conditional Distributional Treatment Effects Nathan Kallus, Miruna Oprescu

NeurIPS 2023 SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking Soukayna Mouatadid, Paulo Orenstein, Genevieve Flaspohler, Miruna Oprescu, Judah Cohen, Franklyn Wang, Sean Knight, Maria Geogdzhayeva, Sam Levang, Ernest Fraenkel, Lester W. Mackey

NeurIPSW 2022 Adaptive Bias Correction for Improved Subseasonal Forecast Soukayna Mouatadid, Paulo Orenstein, Genevieve Elaine Flaspohler, Judah Cohen, Miruna Oprescu, Ernest Fraenkel, Lester Mackey

NeurIPS 2021 Estimating the Long-Term Effects of Novel Treatments Keith Battocchi, Eleanor Dillon, Maggie Hei, Greg Lewis, Miruna Oprescu, Vasilis Syrgkanis

ICML 2021 Online Learning with Optimism and Delay Genevieve E Flaspohler, Francesco Orabona, Judah Cohen, Soukayna Mouatadid, Miruna Oprescu, Paulo Orenstein, Lester Mackey

NeurIPS 2019 Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments Vasilis Syrgkanis, Victor Lei, Miruna Oprescu, Maggie Hei, Keith Battocchi, Greg Lewis

ICML 2019 Orthogonal Random Forest for Causal Inference Miruna Oprescu, Vasilis Syrgkanis, Zhiwei Steven Wu