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6
votes
1answer
102 views
+100

What does the term episode mean in meta-learning?

Recall in meta-learning we have a meta-set which is a data-set of data-sets: $$ D_{meta-set} = \{ D_n \}^N_{n=1} $$ where $D_n$ is data-set (or usually a task). Usually defined as a data sampled from ...
3
votes
1answer
50 views
+50

Seeking recommended literature search terms for a solution to a specific kind of data structure?

Hopefully this isn't considered too off-topic. I'm working in industry these days and came up with a solution to an analysis problem we'd been facing. I'd like to get a sense as to whether said ...
3
votes
1answer
138 views
+50

Probability of being between two random variables

What is the probability of a constant being between two random variables (i.e. P(X < a < Y)) in terms of the joint probability distribution function of X and Y. X and Y are not independent, ...
0
votes
0answers
39 views
+200

What is the standard way to define “task” in meta-learning for few shot classification?

I want to know what is the most common way to define task in meta-learning. Chelsea Finn defines it in MAML as follows: $$ T_i = \{ \mathcal L_i(x_1, a_1, ..., x_H, a_H), q_i(x_1), q_i(x_{i+1} \mid ...
3
votes
0answers
53 views
+200

Nonparametric theory textbook(s)?

I am looking for a nonparametric statistical theory textbook that does not avoid tools from measure-theoretic probability and covers proofs on topics outside of rank-based hypothesis tests: e.g., ...