Statistical Learning
6e2986deda273d8fb903342841fcc4dc-Paper-Conference.pdf
These kinds of attacks are known as poisoning attacks .
Learning Exponential Families from Truncated Samples
Missing data problems have many manifestations across many scientific fields.
Revisiting Logistic-softmax Likelihood in Bayesian Meta-learning for Few-shot Classification
Furthermore, we theoretically and empirically show that softmax can be viewed as a special case of logistic-softmax and logistic-softmax induces a larger family of data distribution than softmax.
Robust Mean Estimation Without Moments for Symmetric Distributions
Moreover, the guarantees that they achieve in the heavy-tailed setting are weaker than those for sub-Gaussian distributions with known covariance.