DM
D. McAllester
cs.LGcs.CLcs.AIcs.LOstat.MLcs.CVAlgorithmsArtificial Intelligencecs.IRcs.IT
On Valency
published · living versionsW_q9adsexk·v1 · currentpublished
Decision-Theoretic Bidding Based on Learned Density Models in Simultaneous, Interacting Auctions
with J. A. Csirik, M. L. Littman, R. E. Schapire, P. Stone
1 version
Preprints & journals
29 papers in the corpus · 2009–2026Recursive Language Models Generalize Out of Domain2609.20831v1 · Chenxiao Yang, Zhiyuan Li, David McAllester et al.2026 · 0 citationsarXiv
Alignment of a Total Automation Economy2607.17015v2 · David McAllester2026 · 0 citationsarXiv
OKBench: Democratizing LLM Evaluation with Fully Automated, On-Demand, Open Knowledge Benchmarking2511.08598v1 · Yanhong Li, Tianyang Xu, Kenan Tang et al.2025 · 0 citationsarXiv
Context-Efficient Retrieval with Factual Decomposition2503.19574v1 · Yanhong Li, David Yunis, David McAllester et al.2025 · 1 citationarXiv
PENCIL: Long Thoughts with Short Memory2503.14337v2 · Chenxiao Yang, Nathan Srebro, David McAllester et al.2025 · 0 citationsarXiv
On the Mathematics of Diffusion Models2301.11108v3 · David McAllester2023 · 3 citationsarXiv
Dependent Type Theory as Related to the Bourbaki Notions of Structure and Isomorphism2104.08958v1 · David McAllester2021 · 0 citationsarXiv
Information-Theoretic Segmentation by Inpainting Error Maximization2012.07287v3 · Pedro Savarese, Sunnie S. Y. Kim, Michael Maire et al.2020 · 25 citationsarXiv
On-The-Fly Information Retrieval Augmentation for Language Models2007.01528v1 · Hai Wang, David McAllester2020 · 4 citationsarXiv
MathZero, The Classification Problem, and Set-Theoretic Type Theory2005.05512v2 · David McAllester2020 · 1 citationarXiv
Isomorphism Revisited1912.02885v2 · David McAllester2019 · 0 citationsarXiv
Domain-independent Dominance of Adaptive Methods1912.01823v3 · Pedro Savarese, David McAllester, Sudarshan Babu et al.2019 · 14 citationsarXiv
Evidence Sentence Extraction for Machine Reading Comprehension1902.08852v2 · Hai Wang, Dian Yu, Kai Sun et al.2019 · 53 citationsarXiv
Formal Limitations on the Measurement of Mutual Information1811.04251v4 · David McAllester, Karl Stratos2018 · 117 citationsarXiv
Information Theoretic Co-Training1802.07572v2 · David McAllester2018 · 8 citationsarXiv
Exploring Generalization in Deep Learning1706.08947v2 · Behnam Neyshabur, Srinadh Bhojanapalli, David McAllester et al.2017 · 746 citationsarXiv
Emergent Predication Structure in Hidden State Vectors of Neural Readers1611.07954v2 · Hai Wang, Takeshi Onishi, Kevin Gimpel et al.2016 · 10 citationsarXiv
Broad Context Language Modeling as Reading Comprehension1610.08431v3 · Zewei Chu, Hai Wang, Kevin Gimpel et al.2016 · 20 citationsarXiv
Who did What: A Large-Scale Person-Centered Cloze Dataset1608.05457v1 · Takeshi Onishi, Hai Wang, Mohit Bansal et al.2016 · 114 citationsarXiv
Isomorphism within Naive Type Theory1407.7274v7 · David McAllester2014 · 0 citationsarXiv
A PAC-Bayesian Tutorial with A Dropout Bound1307.2118v1 · David McAllester2013 · 72 citationsarXiv
Approximate Planning for Factored POMDPs using Belief State Simplification1301.6719v1 · David A. McAllester, Satinder Singh2013 · 67 citationsarXiv
Blending Learning and Inference in Structured Prediction1210.2346v2 · Tamir Hazan, Alexander Schwing, David McAllester et al.2012 · 0 citationsarXiv
Proceedings of the Twenty-Fourth Conference on Uncertainty in Artificial Intelligence (2008)1208.5154v2 · David McAllester, Petri Myllymaki2012 · 32 citationsarXiv
Case-Factor Diagrams for Structured Probabilistic Modeling1207.4135v1 · David A. McAllester, Michael Collins, Fernando Pereira2012 · 52 citationsarXiv
Continuous Markov Random Fields for Robust Stereo Estimation1204.1393v1 · Koichiro Yamaguchi, Tamir Hazan, David McAllester et al.2012 · 123 citationsarXiv
Decision-Theoretic Bidding Based on Learned Density Models in Simultaneous, Interacting Auctions1106.5270v1 · J. A. Csirik, M. L. Littman, D. McAllester et al.2011 · 66 citationsJournal Of Artificial Intelligence Research, Volume 19, pages 209-242, 2003on Valency
Object detection with discriminatively trained part-based models.20634557 · Felzenszwalb, Pedro F, Girshick, Ross B, McAllester, David et al.2010 · 9,801 citationsIEEE transactions on pattern analysis and machine intelligence. 2010;32(9):1627-45
Differential Contrastive Divergence0903.2299v3 · David McAllester2009 · 0 citationsarXiv
Career total: 281 works. 29 are in this corpus.
Profile built from the corpus for this byline.
Author records are still filling in while the Hub is in alpha. If this is your page, you'll be able to claim it soon. Spot a mistake? Tell us.