Research output per year
Research output per year
Search results
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2024
A Universal Class of Sharpness-Aware Minimization Algorithms
Tahmasebi, B., Soleymani, A., Bahri, D., Jegelka, S. & Jaillet, P., 2024, In: Proceedings of Machine Learning Research. 235, p. 47418-47440 23 p.Research output: Contribution to journal › Conference article › peer-review
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Position: Future Directions in the Theory of Graph Machine Learning
Morris, C., Frasca, F., Dym, N., Maron, H., Ceylan, I. I., Levie, R., Lim, D., Bronstein, M., Grohe, M. & Jegelka, S., 2024, In: Proceedings of Machine Learning Research. 235, p. 36294-36307 14 p.Research output: Contribution to journal › Conference article › peer-review
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Sample Complexity Bounds for Estimating Probability Divergences under Invariances
Tahmasebi, B. & Jegelka, S., 2024, In: Proceedings of Machine Learning Research. 235, p. 47396-47417 22 p.Research output: Contribution to journal › Conference article › peer-review
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2023
Limits, approximation and size transferability for GNNs on sparse graphs via graphops
Le, T. & Jegelka, S., 2023, In: Advances in Neural Information Processing Systems. 36Research output: Contribution to journal › Conference article › peer-review
3 Scopus citations -
The Exact Sample Complexity Gain from Invariances for Kernel Regression
Tahmasebi, B. & Jegelka, S., 2023, In: Advances in Neural Information Processing Systems. 36, p. 55616-55646 31 p.Research output: Contribution to journal › Conference article › peer-review
3 Scopus citations -
The Inductive Bias of Flatness Regularization for Deep Matrix Factorization
Gatmiry, K., Reddi, S., Li, Z., Ma, T., Chuang, C. Y. & Jegelka, S., 2023, In: Advances in Neural Information Processing Systems. 36Research output: Contribution to journal › Conference article › peer-review
1 Scopus citations