Miruna Oprescu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 21

Top Topics

Causal Inference

Markov Decision Process

Top Venues

Publications

Miruna Oprescu, Andrew Bennett, Nathan Kallus
Low-rank MDPs with Continuous Action Spaces. AISTATS (2024)
Miruna Oprescu, Nathan Kallus
Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data. CoRR (2024)
Andrew Bennett, Nathan Kallus, Miruna Oprescu, Wen Sun, Kaiwen Wang
Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes. CoRR (2024)
Soukayna Mouatadid, Paulo Orenstein, Genevieve Flaspohler, Miruna Oprescu, Judah Cohen, Franklyn Wang, Sean Knight, Maria Geogdzhayeva, Sam Levang, Ernest Fraenkel, Lester Mackey
SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking. NeurIPS (2023)
Miruna Oprescu, Jacob Dorn, Marah Ghoummaid, Andrew Jesson, Nathan Kallus, Uri Shalit
B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding. CoRR (2023)
Andrew Bennett, Nathan Kallus, Miruna Oprescu
Low-Rank MDPs with Continuous Action Spaces. CoRR (2023)
Miruna Oprescu, Jacob Dorn, Marah Ghoummaid, Andrew Jesson, Nathan Kallus, Uri Shalit
B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding. ICML (2023)
Nathan Kallus, Miruna Oprescu
Robust and Agnostic Learning of Conditional Distributional Treatment Effects. AISTATS (2023)
Soukayna Mouatadid, Paulo Orenstein, Genevieve Flaspohler, Judah Cohen, Miruna Oprescu, Ernest Fraenkel, Lester Mackey
Adaptive Bias Correction for Improved Subseasonal Forecasting. CoRR (2022)
Nathan Kallus, Miruna Oprescu
Robust and Agnostic Learning of Conditional Distributional Treatment Effects. CoRR (2022)
Soukayna Mouatadid, Paulo Orenstein, Genevieve Flaspohler, Miruna Oprescu, Judah Cohen, Franklyn Wang, Sean Knight, Maria Geogdzhayeva, Sam Levang, Ernest Fraenkel, Lester Mackey
Learned Benchmarks for Subseasonal Forecasting. CoRR (2021)
Genevieve Flaspohler, Francesco Orabona, Judah Cohen, Soukayna Mouatadid, Miruna Oprescu, Paulo Orenstein, Lester Mackey
Online Learning with Optimism and Delay. CoRR (2021)
Keith Battocchi, Eleanor Dillon, Maggie Hei, Greg Lewis, Miruna Oprescu, Vasilis Syrgkanis
Estimating the Long-Term Effects of Novel Treatments. NeurIPS (2021)
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
Causal Inference and Machine Learning in Practice with EconML and CausalML: Industrial Use Cases at Microsoft, TripAdvisor, Uber. KDD (2021)
Genevieve Flaspohler, Francesco Orabona, Judah Cohen, Soukayna Mouatadid, Miruna Oprescu, Paulo Orenstein, Lester Mackey
Online Learning with Optimism and Delay. ICML (2021)
Vasilis Syrgkanis, Victor Lei, Miruna Oprescu, Maggie Hei, Keith Battocchi, Greg Lewis
Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments. CoRR (2019)
Vasilis Syrgkanis, Victor Lei, Miruna Oprescu, Maggie Hei, Keith Battocchi, Greg Lewis
Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments. NeurIPS (2019)
Miruna Oprescu, Vasilis Syrgkanis, Zhiwei Steven Wu
Orthogonal Random Forest for Causal Inference. ICML (2019)
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
Flexible and Scalable Deep Learning with MMLSpark. CoRR (2018)
Miruna Oprescu, Vasilis Syrgkanis, Zhiwei Steven Wu
Orthogonal Random Forest for Heterogeneous Treatment Effect Estimation. CoRR (2018)
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
Flexible and Scalable Deep Learning with MMLSpark. PAPIs (2017)