most citedAdaptive Scan Gibbs Sampler for Large Scale Inference Problems

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing stat.MLShow all

2 papers · 1 filter

stat.ML2018

Information Planning for Text Data

Vadim Smolyakov

Information planning enables faster learning with fewer training examples. It is particularly applicable when training examples are costly to obtain. This work examines the advanta…

stat.ML2018★ 1 cited

Adaptive Scan Gibbs Sampler for Large Scale Inference Problems

Vadim Smolyakov, Qiang Liu, John W. Fisher

For large scale on-line inference problems the update strategy is critical for performance. We derive an adaptive scan Gibbs sampler that optimizes the update frequency by selectin…