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David McAllester
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2020 – today
- 2025
- [i12]Chenxiao Yang, Nathan Srebro, David McAllester, Zhiyuan Li:
PENCIL: Long Thoughts with Short Memory. CoRR abs/2503.14337 (2025) - [i11]Yanhong Li, David Yunis, David McAllester, Jiawei Zhou:
Context-Efficient Retrieval with Factual Decomposition. CoRR abs/2503.19574 (2025) - 2023
- [i10]David McAllester:
On the Mathematics of Diffusion Models. CoRR abs/2301.11108 (2023) - 2021
- [c7]Pedro Savarese, Sunnie S. Y. Kim, Michael Maire, Greg Shakhnarovich, David McAllester:
Information-Theoretic Segmentation by Inpainting Error Maximization. CVPR 2021: 4029-4039 - [c6]Pedro Savarese, David McAllester, Sudarshan Babu, Michael Maire:
Domain-Independent Dominance of Adaptive Methods. CVPR 2021: 16286-16295 - [i9]David McAllester:
Dependent Type Theory as Related to the Bourbaki Notions of Structure and Isomorphism. CoRR abs/2104.08958 (2021) - 2020
- [c5]Hai Wang, David McAllester:
On-The-Fly Information Retrieval Augmentation for Language Models. NUSE@ACL 2020: 114-119 - [c4]David McAllester, Karl Stratos:
Formal Limitations on the Measurement of Mutual Information. AISTATS 2020: 875-884 - [i8]David McAllester:
MathZero, The Classification Problem, and Set-Theoretic Type Theory. CoRR abs/2005.05512 (2020) - [i7]Hai Wang, David McAllester:
On-The-Fly Information Retrieval Augmentation for Language Models. CoRR abs/2007.01528 (2020) - [i6]Pedro Savarese, Sunnie S. Y. Kim, Michael Maire, Greg Shakhnarovich, David McAllester:
Information-Theoretic Segmentation by Inpainting Error Maximization. CoRR abs/2012.07287 (2020)
2010 – 2019
- 2019
- [i5]Pedro Savarese, David McAllester, Sudarshan Babu, Michael Maire:
Domain-independent Dominance of Adaptive Methods. CoRR abs/1912.01823 (2019) - 2018
- [i4]David McAllester:
Information Theoretic Co-Training. CoRR abs/1802.07572 (2018) - [i3]David McAllester, Karl Stratos:
Formal Limitations on the Measurement of Mutual Information. CoRR abs/1811.04251 (2018) - 2017
- [c3]Behnam Neyshabur, Srinadh Bhojanapalli, David McAllester, Nati Srebro:
Exploring Generalization in Deep Learning. NIPS 2017: 5947-5956 - [i2]Behnam Neyshabur, Srinadh Bhojanapalli, David McAllester, Nathan Srebro:
Exploring Generalization in Deep Learning. CoRR abs/1706.08947 (2017) - [i1]Behnam Neyshabur, Srinadh Bhojanapalli, David McAllester, Nathan Srebro:
A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks. CoRR abs/1707.09564 (2017) - 2015
- [c2]David McAllester:
A Synopsis of Morphoid Type Theory. MOL 2015: 75-86 - 2013
- [c1]David McAllester, Takintayo Akinbiyi:
PAC-Bayesian Theory. Empirical Inference 2013: 95-103
Coauthor Index
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