McAllester, David

1. Exploring Generalization in Deep Learning
   2017/06/27 by Behnam Neyshabur, Srinadh Bhojanapalli, Neyshabur, Behnam +5 · 43 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Neural Networks and Applications #Anomaly Detection Techniques and Applications
2. Formal Limitations on the Measurement of Mutual Information
   2018/11/10 by David McAllester, Karl Stratos, McAllester, David +1 · 26 citations
   Computer Science · #Algorithms and Data Compression #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
3. On the Mathematics of Diffusion Models
   2023/01/25 by David McAllester, McAllester, David · 1 voice
   #cs.LG #cs.AI #math.PR
4. A PAC-Bayesian Tutorial with A Dropout Bound
   2013/07/08 by McAllester, David · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
5. Information-Theoretic Segmentation by Inpainting Error Maximization
   2020/12/14 by Savarese, Pedro, Kim, Sunnie S. Y., Maire, Michael +2 · 1 citation
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
6. PENCIL: Long Thoughts with Short Memory
   2025/03/18 by Chenxiao Yang, Yang, Chenxiao, Nathan Srebro +5 · 1 voice · 3 citations
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.CL #cs.LG