David McAllester

According to our database1, David McAllester authored at least 12 papers between 2013 and 2023.

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Bibliography

2023
On the Mathematics of Diffusion Models.
CoRR, 2023

2021
Dependent Type Theory as Related to the Bourbaki Notions of Structure and Isomorphism.
CoRR, 2021

Domain-Independent Dominance of Adaptive Methods.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Information-Theoretic Segmentation by Inpainting Error Maximization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
MathZero, The Classification Problem, and Set-Theoretic Type Theory.
CoRR, 2020

Formal Limitations on the Measurement of Mutual Information.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

On-The-Fly Information Retrieval Augmentation for Language Models.
Proceedings of the First Joint Workshop on Narrative Understanding, Storylines, and Events, 2020

2018
Information Theoretic Co-Training.
CoRR, 2018

2017
A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks.
CoRR, 2017

Exploring Generalization in Deep Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2015
A Synopsis of Morphoid Type Theory.
Proceedings of the 14th Meeting on the Mathematics of Language, 2015

2013
PAC-Bayesian Theory.
Proceedings of the Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik, 2013


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