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

Thesis

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

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.

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