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2020 – today
- 2024
[j3]Youngseok Kim, Wei Wang, Peter Carbonetto, Matthew Stephens:
A flexible empirical Bayes approach to multiple linear regression and connections with penalized regression. J. Mach. Learn. Res. 25: 185:1-185:59 (2024)- 2021
- [j2]Zhengrong Xing, Peter Carbonetto, Matthew Stephens:
Flexible Signal Denoising via Flexible Empirical Bayes Shrinkage. J. Mach. Learn. Res. 22: 93:1-93:28 (2021) - [i3]Peter Carbonetto, Abhishek Sarkar, Zihao Wang, Matthew Stephens:
Non-negative matrix factorization algorithms greatly improve topic model fits. CoRR abs/2105.13440 (2021)
2010 – 2019
- 2019
- [i2]John D. Blischak
, Peter Carbonetto, Matthew Stephens:
Creating and sharing reproducible research code the workflowr way. F1000Research 8: 1749 (2019) - 2012
- [i1]Peter Carbonetto, Jacek Kisynski, Nando de Freitas, David Poole:
Nonparametric Bayesian Logic. CoRR abs/1207.1375 (2012)
2000 – 2009
- 2009
- [c8]Peter Carbonetto, Matthew King, Firas Hamze:
A Stochastic approximation method for inference in probabilistic graphical models. NIPS 2009: 216-224 - 2008
- [j1]Peter Carbonetto, Gyuri Dorkó, Cordelia Schmid, Hendrik Kück, Nando de Freitas:
Learning to Recognize Objects with Little Supervision. Int. J. Comput. Vis. 77(1-3): 219-237 (2008) - [c7]Peter Carbonetto, Mark Schmidt, Nando de Freitas:
An interior-point stochastic approximation method and an L1-regularized delta rule. NIPS 2008: 233-240 - 2006
- [c6]Peter Carbonetto, Gyuri Dorkó, Cordelia Schmid, Hendrik Kück, Nando de Freitas:
A Semi-supervised Learning Approach to Object Recognition with Spatial Integration of Local Features and Segmentation Cues. Toward Category-Level Object Recognition 2006: 277-300 - [c5]Peter Carbonetto, Nando de Freitas:
Conditional mean field. NIPS 2006: 201-208 - 2005
- [c4]Peter Carbonetto, Jacek Kisynski, Nando de Freitas, David Poole:
Nonparametric Bayesian Logic. UAI 2005: 85-93 - 2004
- [c3]Hendrik Kück, Peter Carbonetto, Nando de Freitas:
A Constrained Semi-supervised Learning Approach to Data Association. ECCV (3) 2004: 1-12 - [c2]Peter Carbonetto, Nando de Freitas, Kobus Barnard:
A Statistical Model for General Contextual Object Recognition. ECCV (1) 2004: 350-362 - 2003
- [c1]Paul Gustafson, Peter Carbonetto, Natalie Thompson, Nando de Freitas:
Bayesian Feature Weighting for Unsupervised Learning, with Application to Object Recognition. AISTATS 2003: 124-131
Coauthor Index
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