To Appear at NeurIPS, 2026
Recommended citation: Konstantinos Christopher Tsiolis, Denny Wu, Christos Thrampoulidis, and Murat A. Erdogdu. SGD in Multiclass Logistic Regression: Sequential Learning and Scaling Laws. arXiv preprint arXiv:2609.07868, 2026.
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39th International Conference on Neural Information Processing Systems (NeurIPS), 2025
Recommended citation: Konstantinos Christopher Tsiolis, Alireza Mousavi-Hosseini, and Murat A. Erdogdu. From Information to Generative Exponent: Learning Rate Induces Phase Transitions in SGD. In Advances in Neural Information Processing Systems, 2025.
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Published in The 28th International Confernence on Comutational Linguistics (COLING), 2020
Recommended citation: Jingyi He, KC Tsiolis, Kian Kenyon-Dean, and Jackie Chi Kit Cheung. Learning Efficient Task-Specific Meta-Embeddings with Word Prisms. In Proceedings of the 28th International Conference on Computational Linguistics, pages 1229–1241, Barcelona, Spain (Online). International Committee on Computational Linguistics, 2020.
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MSc Thesis, 2023
Recommended citation: Konstantinos Christopher Tsiolis. Contrastive Learning as Kernel Approximation. McGill University (Canada), 2023.
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STA2201 - Methods of Applied Statistics II (taught by Prof. Monica Alexander) at the University of Toronto, 2024
MATH 598 - Random Matrix Theory (taught by Prof. Elliot Paquette) at McGill University, 2022
COMP 599 - Statistical Learning Theory (taught by Profs. Adam Oberman and Prakash Panangaden) at McGill University, 2020
Undergraduate Summer Research Report, 2020
Undergraduate Summer Research Report, 2019