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Bayesianism versus conservatism versus Goodhart
sj99993yΩ010

These might be some typos: 

From the following, the second V3 should be V2:

What can we say about U? Well, if we fix a v3∈V3, then it will appear in (N1n1)(N2n2)(N3−1n3−1) of the Uσ terms (i.e. all choices of the V1 and V3 variables, and all possible choices of the other n3−1 variables in the other N3−1 variables in V3).

as in

(i.e. all choices of the  V1 and V2 variables, and all possible choices of the other n3−1 variables in the other N3−1 variables in V3).

 

In the following, the second term (∏v1∈σ3H(v2)) should instead be multiplied over v2∈σ2.  

Define σ=(σ1,σ2,σ3) as selecting ni variables from Vi, and

 

Uσ=(∑v1∈σ1v1)⋅(∏v1∈σ3H(v2))+∑v3∈σ3−e−v3.


I believe the following should be "from positive to negative" rather than "from negative to positive".

How about a fixed v2∈V2? Well, if v2 goes below 0, that will kill off (N1n1)(N2−1n2−1)(N3n3) of the Uσ. So if all other v′2∈V2 are positive, sending v2 from negative to positive will multiply the expected value by 1−n2/N2.


And here, it seems "(ignoring the V3)" might be "(ignoring the v)".   

In some ways we cannot afford to be sloppy: assume that v should be in V2 but isn't; so the true utility is U=UV1,V2∪{v},V3, but a U′=UV1,V2,V3-maximiser might sacrifice v to increase U′; thus (ignoring the V3) maximising U′ may set U to 0.

 

Thanks to Rupert McCallum for help in identifying some of these typos. 

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Generalised models as a category
sj99993yΩ6100

I think these might be some typos you could correct: 

Q1(E1)≤Q0(r−1(E0)), or both measures are undefined.

The E0 should be  E1.

For such an r-stable set, Q0(E0)≤Q1(r(E0)) and Q1(r(E1)≤Q0(r−1r(E0))=Q0(E0), thus Q0(E0)=Q1(r(E0)).

There is a missing parenthesis and the E1 should be E0:    Q1(r(E0))≤Q0(r−1r(E0))=Q0(E0) 

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