Description: Personal website of Tatjana Chavdarova.
machine learning (3353) gans (82) minmax (5) variational inequality (2) acvi (2) game optimization (2) svre (2) hrde (1) lookahead (1)
I am a Postdoctoral Researcher at the Department of Electrical Engineering and Computer Science (EECS) at the University of California at Berkeley , working with Michael Jordan . I am very grateful to the Swiss National Science Foundation for supporting my research, through the Early.Postdoc.Mobility (in 2021) and the Postdoc.Mobility (in 2023) fellowships.
Prior to my current position, I was Postdoctoral Research Scientist at the Machine Learning and Optimization (MLO) lab at EPFL , working with Martin Jaggi . While at EPFL, I organized the Smooth Games reading group . In part of my time, I participated in the intelligent Global Health (iGH) sub-group of MLO led by Mary-Anne Hartley , by advising on the machine learning aspect of the ongoing projects. I obtained my Ph.D. from EPFL , and Idiap , supervised by Fran ç ois Fleuret . During my Ph.D. studies I did
I am on the job market ('22/'23). Please reach out if you think I will be a good fit for your department. Thanks!