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Robust and Automated Variational Inference
Akash Kumar Dhaka
Department of Computer Science
Probabilistic Machine Learning
Research output
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Dive into the research topics of 'Robust and Automated Variational Inference'. Together they form a unique fingerprint.
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Mathematics
Approximates
100%
Gaussian Process
100%
Automatic Differentiation
66%
Stochastics
66%
Concludes
33%
Posterior Distribution
33%
Bayesian Inference
33%
Bayesian
33%
Monte Carlo
33%
Data Point
33%
Pairwise Comparison
33%
End User
33%
Numerical Value
33%
Computer Science
Approximation (Algorithm)
100%
Stochastic Optimization
66%
Process Classification
66%
Large Data Set
33%
Optimization Problem
33%
Optimal Distribution
33%
Programming Framework
33%
Inference Technique
33%
Requires Optimization
33%
gaussian process model
33%
Decision-Making
33%
Pairwise Comparison
33%
Posterior Distribution
33%
Numerical Value
33%