Questions tagged [oracle]
The oracle tag has no usage guidance.
12
questions
4
votes
1
answer
68
views
How could an oracle that knows the true distribution of things would still incur some errors?
The ideal model is an oracle that simply knows the true probability distribution that generates the data. Even such a model will still incur some error on many problems, because there may still be ...
3
votes
0
answers
150
views
Why does it matter if we use an oracle estimator?
I read this question while studying adaptive LASSO, and while I think I have a decent understanding of the oracle property in theory, I am confused about what it means to use an oracle vs. non-oracle ...
- 621
3
votes
1
answer
171
views
Word for the compliment of an ablation study: replacing estimated feature with perfect information
I need a word.
We have ablation testing (or an ablation study, or ablation analysis) to quantify what happens if you remove a feature / component from a ML system.
So one removes that feature/...
- 3,114
1
vote
1
answer
278
views
Why are oracle inequalities called that way?
The oracle property is an asymptotic property of an estimator, and is about variable selection:
An estimator $\hat \beta_n$ satisfies the oracle property if in the limit of $n\to \infty$, the ...
- 2,789
5
votes
1
answer
348
views
Parameter estimation and model selection consistencies
In a highly cited paper by Zhao (2006) it is stated that (Section 2)
An estimate which is consistent in terms of parameter estimation does not necessarily consistently selects the correct model (or ...
- 1,169
17
votes
1
answer
4k
views
Oracle Inequality : In basic terms
I'm going through a paper that uses oracle inequality to prove something but I'm unable to understand what it is even trying to do. When I searched online about 'Oracle Inequality', some sources ...
- 171
2
votes
0
answers
47
views
What is the relation between coefficients selected by an Oracle-procedure and significant coefficients?
As proved by Zou (2006), the adaptive LASSO enjoys the Oracle Property in the sense that it does variable selection as if it knew the true (sparse) model. However, in the early days, the standard ...
- 115
1
vote
0
answers
166
views
Trade-off between explanation and prediction (adaptive lasso)
The adaptive lasso penalises each coefficient differently by employing a weighted vector. Becuase of this modification from the original lasso, if combine with the additional conditions such as, $\...
- 81
7
votes
0
answers
783
views
Is lasso always outperformed by adaptive lasso?
I have been reading some papers and I understood that adaptive lasso has the Oracle properties which lasso lacks. Does that mean adaptive lasso always better than lasso (let's focus on the simple ...
- 81
2
votes
0
answers
1k
views
Lasso variable selection consistency: "irrepresentable condition" explained in a non-technical way?
I am currently using the lasso for variable selection. Based on random subsamples of my data, the selections differ a lot, i.e. the selection consistency is bad. Literature such as Meinshausen & ...
- 1,198
22
votes
3
answers
24k
views
Lasso vs. adaptive Lasso
LASSO and adaptive LASSO are two different things, right? (To me, the penalties look different, but I'm just checking whether I miss something.)
When you generally speak about elastic net, is the ...
- 251
31
votes
2
answers
18k
views
What is the oracle property of an estimator?
What is the oracle property of an estimator?
What modelling goals is the oracle property relevant for (predictive, explanatory, ...)?
Both theoretically rigorous and (especially) intuitive ...
- 64.9k