Carbonetto, Peter

10 publications

NeurIPS 2025 Covariate-Moderated Empirical Bayes Matrix Factorization William R.P. Denault, Karl Tayeb, Peter Carbonetto, Jason Willwerscheid, Matthew Stephens

JMLR 2024 A Flexible Empirical Bayes Approach to Multiple Linear Regression and Connections with Penalized Regression Youngseok Kim, Wei Wang, Peter Carbonetto, Matthew Stephens

JMLR 2021 Flexible Signal Denoising via Flexible Empirical Bayes Shrinkage Zhengrong Xing, Peter Carbonetto, Matthew Stephens

NeurIPS 2009 A Stochastic Approximation Method for Inference in Probabilistic Graphical Models Peter Carbonetto, Matthew King, Firas Hamze

NeurIPS 2008 An Interior-Point Stochastic Approximation Method and an L1-Regularized Delta Rule Peter Carbonetto, Mark Schmidt, Nando D. Freitas

NeurIPS 2006 Conditional Mean Field Peter Carbonetto, Nando D. Freitas

UAI 2005 Nonparametric Bayesian Logic Peter Carbonetto, Jacek Kisynski, Nando de Freitas, David Poole

ECCV 2004 A Constrained Semi-Supervised Learning Approach to Data Association Hendrik Kück, Peter Carbonetto, Nando de Freitas

ECCV 2004 A Statistical Model for General Contextual Object Recognition Peter Carbonetto, Nando de Freitas, Kobus Barnard

AISTATS 2003 Bayesian Feature Weighting for Unsupervised Learning, with Application to Object Recognition Paul Gustafson, Peter Carbonetto, Natalie Thompson, Nando Freitas