Mohammad Khan
5 papers · 2012–2018 · 3 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (13) π Interdisciplinary Bridge π Academic Marathon (6) π Cross-Pollinator (14) π§ Keyword Pioneer
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Hot Topic Early Bird
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Conference Polyglot
(3)
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Topic Pioneer
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Trend Setter
Conferences
AISTATS (3)
ACML (1)
ICML (1)
Top co-authors
Keywords
variational inference
(5)
stochastic gradient descent
(1)
bayesian nonparametrics
(1)
bayesian inference
(1)
uncertainty quantification
(1)
gaussian process
(1)
natural gradient
(1)
time series
(1)
weight perturbation
(1)
mean-field approximation
(1)
mirror descent
(1)
poisson process
(1)
stochastic mirror descent
(1)
bayesian nonparametric model
(1)
probabilistic model
(1)
poisson distribution
(1)
mixture model
(1)
non-conjugate model
(1)
gaussian model
(1)
latent gaussian model
(1)
Papers
Bayesian Nonparametric Poisson-Process Allocation for Time-Sequence Modeling
AISTATS 2018
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam
ICML 2018
Conjugate-Computation Variational Inference : Converting Variational Inference in Non-Conjugate Models to Inferences in Conjugate Models
AISTATS 2017
Variational Gaussian Inference for Bilinear Models of Count Data
ACML 2014
A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models
AISTATS 2012