About me

I am a second-year PhD student at ETH Zurich working with Prof. Afonso Bandeira at Mathematics Department. My research interests include high-dimensional statistics, computational complexity, statistical physics, and stochastic optimization. In particular, I work on understanding of phase transitions and computational hardness of statistical inference.

Here is a link to my full CV.

Publications

• Anastasia Kireeva, Joel Tropp (2024) Randomized matrix computations: Themes and variations
• Ilyas Fatkhullin, Anas Barakat, Anastasia Kireeva, Niao He (2023) Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate Policies In: International Conference on Machine Learning. PMLR, pp. 9827–9869
• Anastasia Kireeva, Jean-Christophe Mourrat (2023) Breakdown of a concavity property of mutual information for non-Gaussian channels In: Information and Inference: A Journal of the IMA 13.2

Teaching

• Autumn semester of 2023: Course Coordinator - Mathematics of Data Science
• Spring semester of 2023 and 2024: Teaching assistant - Mathematics of Signals, Networks, and Learning Category
• Autumn semester of 2022: Teaching assistant - Mathematics of Data Science

Posts

• Jan, 2021 Gaussian Mixture Models Visually Explained