Peter Carbonetto

According to our database, Peter Carbonetto authored at least 12 papers between 2003 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Flexible Signal Denoising via Flexible Empirical Bayes Shrinkage.

Zhengrong Xing, Peter Carbonetto, Matthew Stephens

J. Mach. Learn. Res., 2021

Non-negative matrix factorization algorithms greatly improve topic model fits.

Peter Carbonetto, Abhishek Sarkar, Zihao Wang, Matthew Stephens

CoRR, 2021

2019

Creating and sharing reproducible research code the workflowr way.

John D. Blischak, Peter Carbonetto, Matthew Stephens

F1000Research, 2019

2009

A Stochastic approximation method for inference in probabilistic graphical models.

Peter Carbonetto, Matthew King, Firas Hamze

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008

Learning to Recognize Objects with Little Supervision.

Peter Carbonetto, Gyuri Dorkó, Cordelia Schmid, Hendrik Kück, Nando de Freitas

Int. J. Comput. Vis., 2008

An interior-point stochastic approximation method and an L1-regularized delta rule.

Peter Carbonetto, Mark Schmidt, Nando de Freitas

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2006

Conditional mean field.

Peter Carbonetto, Nando de Freitas

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

A Semi-supervised Learning Approach to Object Recognition with Spatial Integration of Local Features and Segmentation Cues.

Peter Carbonetto, Gyuri Dorkó, Cordelia Schmid, Hendrik Kück, Nando de Freitas

Proceedings of the Toward Category-Level Object Recognition, 2006

2005

Nonparametric Bayesian Logic.

Peter Carbonetto, Jacek Kisynski, Nando de Freitas, David Poole

Proceedings of the UAI '05, 2005

2004

A Constrained Semi-supervised Learning Approach to Data Association.

Hendrik Kück, Peter Carbonetto, Nando de Freitas

Proceedings of the Computer Vision, 2004

A Statistical Model for General Contextual Object Recognition.

Peter Carbonetto, Nando de Freitas, Kobus Barnard

Proceedings of the Computer Vision, 2004

2003

Bayesian Feature Weighting for Unsupervised Learning, with Application to Object Recognition.

Paul Gustafson, Peter Carbonetto, Natalie Thompson, Nando de Freitas

Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003