Slower than oracle rates, i.e., when given knowledge on distances. I.e., those achievable with no distributional information, can be arbitrarily Particular, the analysis reveals some remarkable phenomena: adaptive rates, We present a first study of this problem, focusing on classification in Known to vary with the choice of hypothesis class. Namely, the transfer distance between source and target distributions, which is Involved in model selection, this problem brings in a new complexity term, Now, in addition to the usual tradeoffs on approximation vs estimation errors Target task, while leveraging data from a related source task. The problem of tuning for the right neural network architecture towards a Under the umbrella term of hyperparameter-tuning: for example, one may think of Item is sold as described and as pictured. The rubber part of the speaker has some minor scratches from usage and handling. Cosmetically, the speaker canvas has a few small white stains. Brief Description: This Logitech UE Roll Speaker is in Good working and cosmetic condition. Practice, some amount of model selection is usually involved, often appearing Model: UE Ultimate Ears Roll Cosmetic Condition: Good. ![]() ![]() Download a PDF of the paper titled Limits of Model Selection under Transfer Learning, by Steve Hanneke and 2 other authors Download PDF Abstract: Theoretical studies on transfer learning or domain adaptation have so farįocused on situations with a known hypothesis class or model however in
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