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Bayesian Model Selection, the Marginal Likelihood, and Generalization.

S. Lotfi, P. Izmailov, G. Benton, M. Goldblum, and A. Wilson. ICML, volume 162 of Proceedings of Machine Learning Research, page 14223-14247. PMLR, (2022)

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Walter Goldblum

Felix Micah

Micah Chukwukelu Okonkwo

Beate Maria Bruce-Micah

Regina Beatrice Bruce-Micah

Other publications of authors with the same name

SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training.G. Somepalli, M. Goldblum, A. Schwarzschild, C. Bruss, and T. Goldstein. CoRR, (2021)NEFTune: Noisy Embeddings Improve Instruction Finetuning.N. Jain, P. yeh Chiang, Y. Wen, J. Kirchenbauer, H. Chu, G. Somepalli, B. Bartoldson, B. Kailkhura, A. Schwarzschild, A. Saha and 3 other author(s). CoRR, (2023)MetaBalance: High-Performance Neural Networks for Class-Imbalanced Data.A. Bansal, M. Goldblum, V. Cherepanova, A. Schwarzschild, C. Bruss, and T. Goldstein. CoRR, (2021)Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery.Y. Wen, N. Jain, J. Kirchenbauer, M. Goldblum, J. Geiping, and T. Goldstein. CoRR, (2023)STYX: Adaptive Poisoning Attacks Against Byzantine-Robust Defenses in Federated Learning.Y. Wen, J. Geiping, M. Goldblum, and T. Goldstein. ICASSP, page 1-5. IEEE, (2023)Adversarial Examples Make Strong Poisons.L. Fowl, M. Goldblum, P. yeh Chiang, J. Geiping, W. Czaja, and T. Goldstein. NeurIPS, page 30339-30351. (2021)Where do Models go Wrong? Parameter-Space Saliency Maps for Explainability.R. Levin, M. Shu, E. Borgnia, F. Huang, M. Goldblum, and T. Goldstein. NeurIPS, (2022)PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization.S. Lotfi, M. Finzi, S. Kapoor, A. Potapczynski, M. Goldblum, and A. Wilson. NeurIPS, (2022)Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers.W. Yang, P. Kirichenko, M. Goldblum, and A. Wilson. NeurIPS, (2022)Adversarial attacks on machine learning systems for high-frequency trading.M. Goldblum, A. Schwarzschild, A. Patel, and T. Goldstein. ICAIF, page 2:1-2:9. ACM, (2021)

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Disambiguation of "Goldblum, Micah"

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Bayesian Model Selection, the Marginal Likelihood, and Generalization.

Please choose a person to relate this publication to

Walter Goldblum

Felix Micah

Micah Chukwukelu Okonkwo

Beate Maria Bruce-Micah

Regina Beatrice Bruce-Micah

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Goldblum, Micah"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Bayesian Model Selection, the Marginal Likelihood, and Generalization.

Please choose a person to relate this publication to

Walter Goldblum

Felix Micah

Micah Chukwukelu Okonkwo

Beate Maria Bruce-Micah

Regina Beatrice Bruce-Micah

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Bayesian Model Selection, the Marginal Likelihood, and Generalization.