| Submission declined on 31 July 2024 by SafariScribe (talk). This submission is not adequately supported by reliable sources. Reliable sources are required so that information can be verified. If you need help with referencing, please see Referencing for beginners and Citing sources. This submission's references do not show that the subject qualifies for a Wikipedia article—that is, they do not show significant coverage (not just passing mentions) about the subject in published, reliable, secondary sources that are independent of the subject (see the guidelines on the notability of people). Before any resubmission, additional references meeting these criteria should be added (see technical help and learn about mistakes to avoid when addressing this issue). If no additional references exist, the subject is not suitable for Wikipedia.
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
|  |
Maria Dimakopoulou | |
|---|---|
| Nationality | Greek |
| Alma mater | Stanford University |
| Known for | Reinforcement Learning, Contextual Bandits, Causal Inference |
| Awards | "Arvanitidis" Stanford Graduate Fellowship, Onassis Foundation Graduate Fellowship |
| Scientific career | |
| Fields | Machine Learning, Reinforcement Learning, Contextual Bandits, Causal Inference |
| Institutions | Netflix, Stanford University |
| Doctoral advisor | Benjamin Van Roy, Susan Athey |
Maria Dimakopoulou is a Greek computer scientist and Senior Research Scientist at Spotify[1], specializing in machine learning, particularly in the areas of reinforcement learning, contextual bandits, and causal inference.
Early Life and Education
editAfter graduating with a Dipl. Ing. from the School of Electrical and Computer Engineering[2] with a perfect 10/10 GPA[3], National Technical University of Athens, Dimakopoulou completed her PhD in Management Science & Engineering at Stanford University[4]. She was advised by Benjamin Van Roy and Susan Athey. Her PhD research was funded by the "Arvanitidis" Stanford Graduate Fellowship[5] in Memory of William K. Linvill and the Onassis Foundation Graduate Fellowship.
Career and Research
editDimakopoulou's research[6] focuses on the development and application of machine learning algorithms. She has made significant contributions to reinforcement learning and contextual bandits, which are critical for decision-making processes under uncertainty.
Key Contributions
edit- Reinforcement Learning and Contextual Bandits: Developed algorithms for contextual bandit problems, which are used in recommendation systems and personalized healthcare treatments.
- Causal Inference: Worked on methods to ensure robust predictions and decisions from observational data, addressing challenges in adaptive data collection.
- Innovative Algorithms and Estimators: Co-authored influential papers on off-policy evaluation and risk minimization, improving the reliability of machine learning models.
Selected Publications
edit- Bibaut, A., Dimakopoulou, M., Kallus, N., Chambaz, A., & van der Laan, M. (2021). Post-Contextual-Bandit Inference. NeurIPS.
- Bibaut, A., Kallus, N., Dimakopoulou, M., Chambaz, A., & van der Laan, M. (2021). Risk Minimization from Adaptively Collected Data. NeurIPS.
- Su, Y., Dimakopoulou, M., Krishnamurthy, A., & Dudik, M. (2020). Doubly Robust Off-Policy Evaluation with Shrinkage. ICML.
- Dimakopoulou, M., Vlassis, N., & Jebara, T. (2019). Marginal Posterior Sampling for Slate Bandits. IJCAI.
Awards and Recognition
edit- "Arvanitidis" Stanford Graduate Fellowship in Memory of William K. Linvill
- Onassis Foundation Graduate Fellowship
References
edit- ^ Maria Dimakopoulou's Homepage, https://mdimakopoulou.github.io
- ^ Dimakopoulou, M., Improving Reliability & Efficiency Of Performance Monitoring In Linux, Diploma Thesis, National Technical University of Athens, http://dx.doi.org/10.26240/heal.ntua.5508
- ^ Huffington Post, Techs and the City: Part 2 Femmes Up, https://www.huffpost.com/entry/techs-and-the-city-part-2_b_9589002
- ^ Dimakopoulou, M., Coordinated exploration in concurrent reinforcement learning, PhD Thesis, Stanford University, https://purl.stanford.edu/hs944xz0420
- ^ Maria Dimakopoulou at Stanford University, https://explorecourses.stanford.edu/instructor/madima)
- ^ M. Dimakopoulou Google Scholar profile, https://scholar.google.com/citations?user=ySLrpsYAAAAJ&hl=en