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ORCIDMiruna Oprescu
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2020 – today
- 2024
[c10]Miruna Oprescu, Andrew Bennett, Nathan Kallus:
Low-rank MDPs with Continuous Action Spaces. AISTATS 2024: 4069-4077- [i11]Andrew Bennett, Nathan Kallus, Miruna Oprescu, Wen Sun, Kaiwen Wang:
Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes. CoRR abs/2404.00099 (2024) - [i10]Miruna Oprescu, Nathan Kallus:
Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data. CoRR abs/2406.06452 (2024) - 2023
- [c9]Nathan Kallus, Miruna Oprescu:
Robust and Agnostic Learning of Conditional Distributional Treatment Effects. AISTATS 2023: 6037-6060 - [c8]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: 26599-26618 - [c7]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 - [i9]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 abs/2304.10577 (2023) - [i8]Andrew Bennett, Nathan Kallus, Miruna Oprescu:
Low-Rank MDPs with Continuous Action Spaces. CoRR abs/2311.03564 (2023) - 2022
- [i7]Nathan Kallus, Miruna Oprescu:
Robust and Agnostic Learning of Conditional Distributional Treatment Effects. CoRR abs/2205.11486 (2022) - [i6]Soukayna Mouatadid, Paulo Orenstein, Genevieve Flaspohler, Judah Cohen, Miruna Oprescu, Ernest Fraenkel
, Lester Mackey:
Adaptive Bias Correction for Improved Subseasonal Forecasting. CoRR abs/2209.10666 (2022) - 2021
- [c6]Genevieve Flaspohler, Francesco Orabona, Judah Cohen, Soukayna Mouatadid, Miruna Oprescu, Paulo Orenstein, Lester Mackey:
Online Learning with Optimism and Delay. ICML 2021: 3363-3373 - [c5]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: 4072-4073 - [c4]Keith Battocchi, Eleanor Dillon, Maggie Hei, Greg Lewis, Miruna Oprescu, Vasilis Syrgkanis:
Estimating the Long-Term Effects of Novel Treatments. NeurIPS 2021: 2925-2935 - [i5]Genevieve Flaspohler, Francesco Orabona, Judah Cohen, Soukayna Mouatadid, Miruna Oprescu, Paulo Orenstein, Lester Mackey:
Online Learning with Optimism and Delay. CoRR abs/2106.06885 (2021) - [i4]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 abs/2109.10399 (2021)
2010 – 2019
- 2019
- [c3]Miruna Oprescu, Vasilis Syrgkanis, Zhiwei Steven Wu:
Orthogonal Random Forest for Causal Inference. ICML 2019: 4932-4941 - [c2]Vasilis Syrgkanis, Victor Lei, Miruna Oprescu, Maggie Hei, Keith Battocchi, Greg Lewis:
Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments. NeurIPS 2019: 15167-15176 - [i3]Vasilis Syrgkanis, Victor Lei, Miruna Oprescu, Maggie Hei, Keith Battocchi, Greg Lewis:
Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments. CoRR abs/1905.10176 (2019) - 2018
- [i2]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 abs/1804.04031 (2018) - [i1]Miruna Oprescu, Vasilis Syrgkanis, Zhiwei Steven Wu:
Orthogonal Random Forest for Heterogeneous Treatment Effect Estimation. CoRR abs/1806.03467 (2018) - 2017
- [c1]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: 11-22
Coauthor Index
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last updated on 2024-07-25 19:31 CEST by the dblp team
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