25 citations · 111 across the 17 of their papers we have counts for
4 papers · 1 filter
Causality Refined Diagnostic Prediction
Marcus Klasson, Kun Zhang, Bo C. Bertilson +2
Applying machine learning in the health care domain has shown promising results in recent years. Interpretable outputs from learning algorithms are desirable for decision making by…
Advances in Variational Inference
Cheng Zhang, Judith Butepage, Hedvig Kjellstrom +1
Many modern unsupervised or semi-supervised machine learning algorithms rely on Bayesian probabilistic models. These models are usually intractable and thus require approximate inf…
Perturbative Black Box Variational Inference
Robert Bamler, Cheng Zhang, Manfred Opper +1
Black box variational inference (BBVI) with reparameterization gradients triggered the exploration of divergence measures other than the Kullback-Leibler (KL) divergence, such as a…
Determinantal Point Processes for Mini-Batch Diversification
Cheng Zhang, Hedvig Kjellstrom, Stephan Mandt
We study a mini-batch diversification scheme for stochastic gradient descent (SGD). While classical SGD relies on uniformly sampling data points to form a mini-batch, we propose a…