Mirror descent value iteration (MDVI), an abstraction of Kullback-Leible...
Markov chain Monte Carlo (MCMC), such as Langevin dynamics, is valid for...
Invariant and equivariant networks are useful in learning data with symm...
We present the group equivariant conditional neural process (EquivCNP), ...
Group symmetry is inherent in a wide variety of data distributions. Data...
In this paper, we propose a variable selection method for general
nonpar...
The dueling bandit is a learning framework wherein the feedback informat...
We consider a transfer-learning problem by using the parameter transfer
...