Noble, William Stafford

11 publications

ICML 2021 ACE: Explaining Cluster from an Adversarial Perspective Yang Young Lu, Timothy C Yu, Giancarlo Bonora, William Stafford Noble

ICML 2021 DANCE: Enhancing Saliency Maps Using Decoys Yang Young Lu, Wenbo Guo, Xinyu Xing, William Stafford Noble

MLOSS 2020 Apricot: Submodular Selection for Data Summarization in Python Jacob Schreiber, Jeffrey Bilmes, William Stafford Noble

NeurIPS 2018 DeepPINK: Reproducible Feature Selection in Deep Neural Networks Yang Lu, Yingying Fan, Jinchi Lv, William Stafford Noble

NeurIPS 2018 Submodular Maximization via Gradient Ascent: The Case of Deep Submodular Functions Wenruo Bai, William Stafford Noble, Jeff A. Bilmes

UAI 2014 Learning Peptide-Spectrum Alignment Models for Tandem Mass Spectrometry John T. Halloran, Jeff A. Bilmes, William Stafford Noble

UAI 2012 Spectrum Identification Using a Dynamic Bayesian Network Model of Tandem Mass Spectra Ajit P. Singh, John T. Halloran, Jeff A. Bilmes, Katrin Kirchhoff, William Stafford Noble

JMLR 2007 Multi-Class Protein Classification Using Adaptive Codes Iain Melvin, Eugene Ie, Jason Weston, William Stafford Noble, Christina Leslie

ICML 2006 Nonstationary Kernel Combination Darrin P. Lewis, Tony Jebara, William Stafford Noble

ICML 2005 Multi-Class Protein Fold Recognition Using Adaptive Codes Eugene Ie, Jason Weston, William Stafford Noble, Christina S. Leslie

ECML-PKDD 2002 A Kernel Approach for Learning from Almost Orthogonal Patterns Bernhard Schölkopf, Jason Weston, Eleazar Eskin, Christina S. Leslie, William Stafford Noble