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Journal Articles
- 2024
[j1]Ye He, Tyler Farghly, Krishnakumar Balasubramanian, Murat A. Erdogdu:
Mean-Square Analysis of Discretized Itô Diffusions for Heavy-tailed Sampling. J. Mach. Learn. Res. 25: 43:1-43:44 (2024)
Conference and Workshop Papers
- 2023
- [c3]Alireza Mousavi Hosseini, Tyler K. Farghly, Ye He, Krishna Balasubramanian, Murat A. Erdogdu:
Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincaré Inequality. COLT 2023: 1-35 - 2021
- [c2]Tyler Farghly, Patrick Rebeschini:
Time-independent Generalization Bounds for SGLD in Non-convex Settings. NeurIPS 2021: 19836-19846 - 2020
- [c1]Sam Coope, Tyler Farghly, Daniela Gerz, Ivan Vulic, Matthew Henderson:
Span-ConveRT: Few-shot Span Extraction for Dialog with Pretrained Conversational Representations. ACL 2020: 107-121
Informal and Other Publications
- 2023
- [i3]Ye He, Tyler Farghly, Krishnakumar Balasubramanian, Murat A. Erdogdu:
Mean-Square Analysis of Discretized Itô Diffusions for Heavy-tailed Sampling. CoRR abs/2303.00570 (2023) - 2021
- [i2]Tyler Farghly, Patrick Rebeschini:
Time-independent Generalization Bounds for SGLD in Non-convex Settings. CoRR abs/2111.12876 (2021) - 2020
- [i1]Sam Coope, Tyler Farghly, Daniela Gerz, Ivan Vulic, Matthew Henderson:
Span-ConveRT: Few-shot Span Extraction for Dialog with Pretrained Conversational Representations. CoRR abs/2005.08866 (2020)
Coauthor Index
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