Dual Representations of Words with Asymmetric Contexts
Undergraduate Summer Research Report, 2019
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publications
Quantifier Scope Disambiguation
Undergraduate Summer Research Report, 2020
Learning Efficient Task-Specific Embeddings with Word Prisms
Published in The 28th International Confernence on Comutational Linguistics, 2020
Recommended citation: Jingyi He, KC Tsiolis, Kian Kenyon-Dean, and Jackie Chi Kit Cheung. 2020. 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.
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A Brief Survey of Semi-Supervised Learning and Its Application in Natural Language Processing
COMP 599 - Statistical Learning Theory (taught by Profs. Adam Oberman and Prakash Panangaden) at McGill University, 2020
Analyzing Random Features via Linearization and the Matrix Dyson Equation
MATH 598 - Random Matrix Theory (taught by Prof. Elliot Paquette) at McGill University, 2022
Contrastive Learning as Kernel Approximation
MSc Thesis, 2023
Recommended citation: Konstantinos Christopher Tsiolis. 2023. Contrastive Learning as Kernel Approximation. McGill University (Canada).
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Explaining and Forecasting Homelessness in the United States
STA2201 - Methods of Applied Statistics II (taught by Prof. Monica Alexander) at the University of Toronto, 2024
From Information to Generative Exponent: Learning Rate Induces Phase Transitions in SGD
To appear in 3rd Workshop on High-dimensional Learning Dynamics (HiLD) at ICML, 2025