Formal Model Flashcards

1
Q

What are the 6-key point of the Formal Model? What is the loss function?

Draw the learning process.

A

see images

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2
Q

Define the ERM paradigm and the training error.

A

look image

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3
Q

ERM with inductive bias.

What is the advandage of using finite hypothesis classes?

What are the assumptions when we use finite hypothesis classes?

A

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4
Q

(Simplied) PAC learning.

Informal description.

Theorem.

Theroem explanations.

Proof.

A

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5
Q

What is PAC learnability? (Formal definition)

A

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6
Q

What is sample complexity and what is its value for the PAC?

A

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7
Q

What is Agnostic PAC learning? (informally)

What are its empirical and true error?

A

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8
Q

What is the Bayes optimal predictor?

A

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9
Q

Formal Definition of Agnostic PAC learnability.

A

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10
Q

What is the general loss function?
general risk function?
general empirical risk?
What are some common loss functions?

A

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11
Q

What is Agnostic PAC Learning (for generalized loss functions)?

A

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