Miruna Oprescu

30 papers A* 10A 2Journal 17Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Causal Inference on Networks under Misspecified Exposure Mappings: A Partial Identification Framework. CoRR Maresa Schröder, Miruna Oprescu, Stefan Feuerriegel, Nathan Kallus
2026	J	`jnl`	Recovering Whole-Brain Causal Connectivity under Indirect Observation with Applications to Human EEG and fMRI. CoRR Sangyoon Bae, Miruna Oprescu, David Keetae Park, Shinjae Yoo, Jiook Cha
2025	J	`jnl`	Efficient Adaptive Experimentation with Non-Compliance. CoRR Miruna Oprescu, Brian M. Cho, Nathan Kallus
2025	J	`jnl`	GST-UNet: Spatiotemporal Causal Inference with Time-Varying Confounders. CoRR Miruna Oprescu, David Keetae Park, Xihaier Luo, Shinjae Yoo, Nathan Kallus
2025	A*	`conf`	SCENT: Robust Spatiotemporal Learning for Continuous Scientific Data via Scalable Conditioned Neural Fields. ICML David Keetae Park, Xihaier Luo, Guang Zhao, Seungjun Lee, Miruna Oprescu, Shinjae Yoo
2025	J	`jnl`	SCENT: Robust Spatiotemporal Learning for Continuous Scientific Data via Scalable Conditioned Neural Fields. CoRR David Keetae Park, Xihaier Luo, Guang Zhao, Seungjun Lee, Miruna Oprescu, Shinjae Yoo
2025	J	`jnl`	Spatial Deconfounder: Interference-Aware Deconfounding for Spatial Causal Inference. CoRR Ayush Khot, Miruna Oprescu, Maresa Schröder, Ai Kagawa, Xihaier Luo
2024	A*	`conf`	Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes. NeurIPS Andrew Bennett, Nathan Kallus, Miruna Oprescu, Wen Sun, Kaiwen Wang
2024	J	`jnl`	Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes. CoRR Andrew Bennett, Nathan Kallus, Miruna Oprescu, Wen Sun, Kaiwen Wang
2024	A*	`conf`	Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data. NeurIPS Miruna Oprescu, Nathan Kallus
2024	J	`jnl`	Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data. CoRR Miruna Oprescu, Nathan Kallus
2024	A	`conf`	Low-rank MDPs with Continuous Action Spaces. AISTATS Miruna Oprescu, Andrew Bennett, Nathan Kallus
2023	A*	`conf`	B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding. ICML Miruna Oprescu, Jacob Dorn, Marah Ghoummaid, Andrew Jesson, Nathan Kallus, Uri Shalit
2023	J	`jnl`	B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding. CoRR Miruna Oprescu, Jacob Dorn, Marah Ghoummaid, Andrew Jesson, Nathan Kallus, Uri Shalit
2023	J	`jnl`	Low-Rank MDPs with Continuous Action Spaces. CoRR Andrew Bennett, Nathan Kallus, Miruna Oprescu
2023	A	`conf`	Robust and Agnostic Learning of Conditional Distributional Treatment Effects. AISTATS Nathan Kallus, Miruna Oprescu
2023	A*	`conf`	SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking. NeurIPS Soukayna Mouatadid, Paulo Orenstein, Genevieve Flaspohler, Miruna Oprescu, Judah Cohen, Franklyn Wang, Sean Knight, Maria Geogdzhayeva, Sam Levang, Ernest Fraenkel, Lester Mackey
2022	J	`jnl`	Adaptive Bias Correction for Improved Subseasonal Forecasting. CoRR Soukayna Mouatadid, Paulo Orenstein, Genevieve Flaspohler, Judah Cohen, Miruna Oprescu, Ernest Fraenkel, Lester Mackey
2022	J	`jnl`	Robust and Agnostic Learning of Conditional Distributional Treatment Effects. CoRR Nathan Kallus, Miruna Oprescu
2021	A*	`conf`	Causal Inference and Machine Learning in Practice with EconML and CausalML: Industrial Use Cases at Microsoft, TripAdvisor, Uber. KDD Vasilis Syrgkanis, Greg Lewis, Miruna Oprescu, Maggie Hei, Keith Battocchi, Eleanor Dillon, Jing Pan, Yifeng Wu, Paul Lo, Huigang Chen, Totte Harinen, Jeong-Yoon Lee
2021	A*	`conf`	Estimating the Long-Term Effects of Novel Treatments. NeurIPS Keith Battocchi, Eleanor Dillon, Maggie Hei, Greg Lewis, Miruna Oprescu, Vasilis Syrgkanis
2021	J	`jnl`	Learned Benchmarks for Subseasonal Forecasting. CoRR Soukayna Mouatadid, Paulo Orenstein, Genevieve Flaspohler, Miruna Oprescu, Judah Cohen, Franklyn Wang, Sean Knight, Maria Geogdzhayeva, Sam Levang, Ernest Fraenkel, Lester Mackey
2021	A*	`conf`	Online Learning with Optimism and Delay. ICML Genevieve Flaspohler, Francesco Orabona, Judah Cohen, Soukayna Mouatadid, Miruna Oprescu, Paulo Orenstein, Lester Mackey
2021	J	`jnl`	Online Learning with Optimism and Delay. CoRR Genevieve Flaspohler, Francesco Orabona, Judah Cohen, Soukayna Mouatadid, Miruna Oprescu, Paulo Orenstein, Lester Mackey
2019	A*	`conf`	Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments. NeurIPS Vasilis Syrgkanis, Victor Lei, Miruna Oprescu, Maggie Hei, Keith Battocchi, Greg Lewis
2019	J	`jnl`	Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments. CoRR Vasilis Syrgkanis, Victor Lei, Miruna Oprescu, Maggie Hei, Keith Battocchi, Greg Lewis
2019	A*	`conf`	Orthogonal Random Forest for Causal Inference. ICML Miruna Oprescu, Vasilis Syrgkanis, Zhiwei Steven Wu
2018	J	`jnl`	Flexible and Scalable Deep Learning with MMLSpark. CoRR Mark Hamilton, Sudarshan Raghunathan, Akshaya Annavajhala, Danil Kirsanov, Eduardo de Leon, Eli Barzilay, Ilya Matiach, Joe Davison, Maureen Busch, Miruna Oprescu, Ratan Sur, Roope Astala, Tong Wen, Changyoung Park
2018	J	`jnl`	Orthogonal Random Forest for Heterogeneous Treatment Effect Estimation. CoRR Miruna Oprescu, Vasilis Syrgkanis, Zhiwei Steven Wu
2017	—	`conf`	Flexible and Scalable Deep Learning with MMLSpark. PAPIs Mark Hamilton, Sudarshan Raghunathan, Akshaya Annavajhala, Danil Kirsanov, Eduardo de Leon, Eli Barzilay, Ilya Matiach, Joe Davison, Maureen Busch, Miruna Oprescu, Ratan Sur, Roope Astala, Tong Wen, Changyoung Park