All Questions

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 ...

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 ...

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, ...

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 ...

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., ...