We propose a method to fuse posterior distributions learned from
heterog...
We study a robust alternative to empirical risk minimization called
dist...
Label switching is a phenomenon arising in mixture model posterior infer...
The ability to measure similarity between documents enables intelligent
...
We propose a technique for interpolating between probability distributio...
Sparsification is becoming more and more relevant with the proliferation...
We present a stochastic algorithm to compute the barycenter of a set of
...
Efficiently aggregating data from different sources is a challenging pro...