Tyler Farghly

According to our database, Tyler Farghly authored at least 5 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Generalisation under gradient descent via deterministic PAC-Bayes.

Eugenio Clerico, Tyler Farghly, George Deligiannidis, Benjamin Guedj, Arnaud Doucet

Proceedings of the International Conference on Algorithmic Learning Theory, 2025

2024

Mean-Square Analysis of Discretized Itô Diffusions for Heavy-tailed Sampling.

Ye He, Tyler Farghly, Krishnakumar Balasubramanian, Murat A. Erdogdu

J. Mach. Learn. Res., 2024

2023

Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincaré Inequality.

Alireza Mousavi Hosseini, Tyler K. Farghly, Ye He, Krishna Balasubramanian, Murat A. Erdogdu

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2021

Time-independent Generalization Bounds for SGLD in Non-convex Settings.

Tyler Farghly, Patrick Rebeschini

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Span-ConveRT: Few-shot Span Extraction for Dialog with Pretrained Conversational Representations.

Sam Coope, Tyler Farghly, Daniela Gerz, Ivan Vulic, Matthew Henderson

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020