David McAllester

22 papers A* 3A 1Journal 13Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Context-Efficient Retrieval with Factual Decomposition. NAACL (Short Papers) Yanhong Li, David Yunis, David McAllester, Jiawei Zhou
2025	J	`jnl`	Context-Efficient Retrieval with Factual Decomposition. CoRR Yanhong Li, David Yunis, David McAllester, Jiawei Zhou
2025	J	`jnl`	OKBench: Democratizing LLM Evaluation with Fully Automated, On-Demand, Open Knowledge Benchmarking. CoRR Yanhong Li, Tianyang Xu, Kenan Tang, Karen Livescu, David McAllester, Jiawei Zhou
2025	A*	`conf`	PENCIL: Long Thoughts with Short Memory. ICML Chenxiao Yang, Nathan Srebro, David McAllester, Zhiyuan Li
2025	J	`jnl`	PENCIL: Long Thoughts with Short Memory. CoRR Chenxiao Yang, Nathan Srebro, David McAllester, Zhiyuan Li
2023	J	`jnl`	On the Mathematics of Diffusion Models. CoRR David McAllester
2021	J	`jnl`	Dependent Type Theory as Related to the Bourbaki Notions of Structure and Isomorphism. CoRR David McAllester
2021	A*	`conf`	Domain-Independent Dominance of Adaptive Methods. CVPR Pedro Savarese, David McAllester, Sudarshan Babu, Michael Maire
2021	A*	`conf`	Information-Theoretic Segmentation by Inpainting Error Maximization. CVPR Pedro Savarese, Sunnie S. Y. Kim, Michael Maire, Greg Shakhnarovich, David McAllester
2020	A	`conf`	Formal Limitations on the Measurement of Mutual Information. AISTATS David McAllester, Karl Stratos
2020	J	`jnl`	Information-Theoretic Segmentation by Inpainting Error Maximization. CoRR Pedro Savarese, Sunnie S. Y. Kim, Michael Maire, Greg Shakhnarovich, David McAllester
2020	J	`jnl`	MathZero, The Classification Problem, and Set-Theoretic Type Theory. CoRR David McAllester
2020	—	`conf`	On-The-Fly Information Retrieval Augmentation for Language Models. NUSE@ACL Hai Wang, David McAllester
2020	J	`jnl`	On-The-Fly Information Retrieval Augmentation for Language Models. CoRR Hai Wang, David McAllester
2019	J	`jnl`	Domain-independent Dominance of Adaptive Methods. CoRR Pedro Savarese, David McAllester, Sudarshan Babu, Michael Maire
2018	J	`jnl`	Formal Limitations on the Measurement of Mutual Information. CoRR David McAllester, Karl Stratos
2018	J	`jnl`	Information Theoretic Co-Training. CoRR David McAllester
2017	J	`jnl`	A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks. CoRR Behnam Neyshabur, Srinadh Bhojanapalli, David McAllester, Nathan Srebro
2017	—	`conf`	Exploring Generalization in Deep Learning. NIPS Behnam Neyshabur, Srinadh Bhojanapalli, David McAllester, Nati Srebro
2017	J	`jnl`	Exploring Generalization in Deep Learning. CoRR Behnam Neyshabur, Srinadh Bhojanapalli, David McAllester, Nathan Srebro
2015	—	`conf`	A Synopsis of Morphoid Type Theory. MOL David McAllester
2013	—	`conf`	PAC-Bayesian Theory. Empirical Inference David McAllester, Takintayo Akinbiyi