Tyler Farghly

11 papers A* 2B 1Journal 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
On-Average Stability of Multipass Preconditioned SGD and Effective Dimension.
CoRR
Simon Vary, Tyler Farghly, Ilja Kuzborskij, Patrick Rebeschini
2025 J jnl
Beyond Real Data: Synthetic Data through the Lens of Regularization.
CoRR
Amitis Shidani, Tyler Farghly, Yang Sun, Habib Ganjgahi, George Deligiannidis
2025 J jnl
Diffusion Models and the Manifold Hypothesis: Log-Domain Smoothing is Geometry Adaptive.
CoRR
Tyler Farghly, Peter Potaptchik, Samuel Howard, George Deligiannidis, Jakiw Pidstrigach
2025 B conf
Generalisation under gradient descent via deterministic PAC-Bayes.
ALT
Eugenio Clerico, Tyler Farghly, George Deligiannidis, Benjamin Guedj, Arnaud Doucet
2025 J jnl
Implicit Regularisation in Diffusion Models: An Algorithm-Dependent Generalisation Analysis.
CoRR
Tyler Farghly, Patrick Rebeschini, George Deligiannidis, Arnaud Doucet
2024 J jnl
Mean-Square Analysis of Discretized Itô Diffusions for Heavy-tailed Sampling.
J. Mach. Learn. Res.
Ye He, Tyler Farghly, Krishnakumar Balasubramanian, Murat A. Erdogdu
2023 J jnl
Mean-Square Analysis of Discretized Itô Diffusions for Heavy-tailed Sampling.
CoRR
Ye He, Tyler Farghly, Krishnakumar Balasubramanian, Murat A. Erdogdu
2021 A* conf
Time-independent Generalization Bounds for SGLD in Non-convex Settings.
NeurIPS
Tyler Farghly, Patrick Rebeschini
2021 J jnl
Time-independent Generalization Bounds for SGLD in Non-convex Settings.
CoRR
Tyler Farghly, Patrick Rebeschini
2020 A* conf
Span-ConveRT: Few-shot Span Extraction for Dialog with Pretrained Conversational Representations.
ACL
Sam Coope, Tyler Farghly, Daniela Gerz, Ivan Vulic, Matthew Henderson
2020 J jnl
Span-ConveRT: Few-shot Span Extraction for Dialog with Pretrained Conversational Representations.
CoRR
Sam Coope, Tyler Farghly, Daniela Gerz, Ivan Vulic, Matthew Henderson