Peter Carbonetto

17 papers A 2Journal 9Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
A New Family of Poisson Non-negative Matrix Factorization Methods Using the Shifted Log Link.
CoRR
Eric Weine, Peter Carbonetto, Rafael A. Irizarry, Matthew Stephens
2025 J jnl
ebnm: An
J. Stat. Softw.
Jason Willwerscheid, Peter Carbonetto, Matthew Stephens
2024 J jnl
A flexible empirical Bayes approach to multiple linear regression and connections with penalized regression.
J. Mach. Learn. Res.
Youngseok Kim, Wei Wang, Peter Carbonetto, Matthew Stephens
2024 J jnl
Accelerated dimensionality reduction of single-cell RNA sequencing data with fastglmpca.
Bioinform.
Eric Weine, Peter Carbonetto, Matthew Stephens
2021 J jnl
Flexible Signal Denoising via Flexible Empirical Bayes Shrinkage.
J. Mach. Learn. Res.
Zhengrong Xing, Peter Carbonetto, Matthew Stephens
2021 J jnl
Non-negative matrix factorization algorithms greatly improve topic model fits.
CoRR
Peter Carbonetto, Abhishek Sarkar, Zihao Wang, Matthew Stephens
2019 J jnl
Creating and sharing reproducible research code the workflowr way.
F1000Research
John D. Blischak, Peter Carbonetto, Matthew Stephens
2012 J jnl
Nonparametric Bayesian Logic
CoRR
Peter Carbonetto, Jacek Kisynski, Nando de Freitas, David Poole
2009 — conf
A Stochastic approximation method for inference in probabilistic graphical models.
NIPS
Peter Carbonetto, Matthew King, Firas Hamze
2008 — conf
An interior-point stochastic approximation method and an L1-regularized delta rule.
NIPS
Peter Carbonetto, Mark Schmidt, Nando de Freitas
2008 J jnl
Learning to Recognize Objects with Little Supervision.
Int. J. Comput. Vis.
Peter Carbonetto, Gyuri Dorkó, Cordelia Schmid, Hendrik Kück, Nando de Freitas
2006 — conf
A Semi-supervised Learning Approach to Object Recognition with Spatial Integration of Local Features and Segmentation Cues.
Toward Category-Level Object Recognition
Peter Carbonetto, Gyuri Dorkó, Cordelia Schmid, Hendrik Kück, Nando de Freitas
2006 — conf
Conditional mean field.
NIPS
Peter Carbonetto, Nando de Freitas
2005 A conf
Nonparametric Bayesian Logic.
UAI
Peter Carbonetto, Jacek Kisynski, Nando de Freitas, David Poole
2004 — conf
A Constrained Semi-supervised Learning Approach to Data Association.
ECCV (3)
Hendrik Kück, Peter Carbonetto, Nando de Freitas
2004 — conf
A Statistical Model for General Contextual Object Recognition.
ECCV (1)
Peter Carbonetto, Nando de Freitas, Kobus Barnard
2003 A conf
Bayesian Feature Weighting for Unsupervised Learning, with Application to Object Recognition.
AISTATS
Paul Gustafson, Peter Carbonetto, Natalie Thompson, Nando de Freitas