# Loss functions for classification

## Papers overview

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2018

2018

- AAAI
- 2018

Temporal point processes are a statistical framework for modelling the times at which events of interest occur. The Hawkes… (More)

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2017

2017

- CIKM
- 2017

In survival analysis, regression models are used to understand the effects of explanatory variables (e.g., age, sex, weight, etc… (More)

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2015

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2015

- IEEE International Conference on Computer Vision…
- 2015

In image classification, visual separability between different object categories is highly uneven, and some categories are more… (More)

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2014

2014

- IEEE Information Theory Workshop (ITW )
- 2014

We focus on the privacy-utility trade-off encountered by users who wish to disclose some information to an analyst, that is… (More)

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2008

Highly Cited

2008

- NIPS
- 2008

The machine learning problem of classifier design is studied from the perspective of probability elicitation, in statistics. This… (More)

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2007

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2007

- 2007

We design an online algorithm for Principal Component Analysis. In each trial the current instance is centered and projected into… (More)

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2006

2006

- NIPS
- 2006

We provide a PAC-Bayesian bound for the expected loss of convex combinations of classifiers under a wide class of loss functions… (More)

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2005

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2005

- 2005

What are the natural loss functions or fitting criteria for binary class probability estimation? This question has a simple… (More)

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2005

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2005

- 2005

We consider different types of loss functions for discrete ordinal regression, i.e. fitting labels that may take one of several… (More)

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2004

Highly Cited

2004

- Neural Computation
- 2004

In this letter, we investigate the impact of choosing different loss functions from the viewpoint of statistical learning theory… (More)

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