I am a fourth-year PhD student at INSAIT, supervised by Nikola Konstantinov. My research focuses on trustworthy machine learning, particularly on strategic incentives in machine learning systems and shortcut learning.
Before INSAIT, I received an MA in Economics from NES and a BS in Physics from MIPT.
Publications
Data Incentives in ML Systems
- Tsoy, N. Market Incentives for AI Safety Investment. NeurIPS. 2026.
- Tsoy, N., Kirev, I., Rahimiyazdi, N., & Konstantinov, N. On the Impact of Performative Risk Minimization for Binary Random Variables. ICML. 2025.
- Tsoy, N., Mihalkova, A., Todorova, T. N., & Konstantinov, N. Provable Mutual Benefits from Federated Learning in Privacy-Sensitive Domains. AISTATS. 2024.
- Tsoy, N., & Konstantinov, N. Strategic Data Sharing between Competitors. NeurIPS. 2023.
Shortcut Learning
- Tsoy, N., & Konstantinov, N. On Measuring Localization of Shortcuts in Deep Networks. TMLR. 2026.
- Tsoy, N., & Konstantinov, N. Simplicity Bias of Two-Layer Networks beyond Linearly Separable Data. ICML. 2024.
Working Papers
Strategic Incentives
- Chakarov, D., Tsoy, N., Minchev, K., & Konstantinov, N. Incentivizing Truthful Collaboration in Heterogeneous Federated Learning. OPT Workshop. 2024.
Econometrics
- Campbell, D., Brodeur, A., Dreber, A., Johannesson, M., Kopecky, J., Lusher, L., & Tsoy, N. The Robustness Reproducibility of the American Economic Review. I4R Discussion Paper Series. 2024.
