Items where Division is "Mathematics and Statistics" and Year is 2025

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Glickman, Paul (2025) When Noise Helps: From Impossibility to Approximate Impossibility in Identity Effects for Deep Learning. Masters thesis, Concordia University.

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Padmanabhan, Rahul (2025) Deep Learning Approximation of Matrix Functions: From Feedforward Neural Networks to Transformers. Masters thesis, Concordia University.

Perez Mendoza, Carlos Octavio (2025) Enhancing Hedging Strategies with Deep Reinforcement Learning and Implied Volatility Surfaces. PhD thesis, Concordia University.

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Sen, Abhirupa (2025) Hybrid Model for Claim Frequency and Claim Severity. Masters thesis, Concordia University.