Span-ConveRT: Few-shot Span Extraction for Dialog with Pretrained Conversational Representations. - Sam Coope; Tyler Farghly; Daniela Gerz; Ivan Vulic; Matthew Henderson (ACL, 2020)

Time-independent Generalization Bounds for SGLD in Non-convex Settings. - Tyler Farghly; Patrick Rebeschini (NeurIPS, 2021)

Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincaré Inequality. - Alireza Mousavi Hosseini; Tyler K. Farghly; Ye He 003; Krishna Balasubramanian; Murat A. Erdogdu (COLT, 2023)

Mean-Square Analysis of Discretized Itô Diffusions for Heavy-tailed Sampling. - Ye He 003; Tyler Farghly; Krishnakumar Balasubramanian 002; Murat A. Erdogdu (J. Mach. Learn. Res., 2024)

Generalisation under gradient descent via deterministic PAC-Bayes. - Eugenio Clerico; Tyler Farghly; George Deligiannidis; Benjamin Guedj; Arnaud Doucet (ALT, 2025)

Implicit Regularisation in Diffusion Models: An Algorithm-Dependent Generalisation Analysis. - Tyler Farghly; Patrick Rebeschini; George Deligiannidis; Arnaud Doucet (CoRR, 2025)