Mohammad Emtiyaz Khan
34 papers · 2009–2025 · 8 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 14 separate collaboration groups - the largest holds only 35% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Mohammad Emtiyaz Khan?
6 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Mark Schmidt, Wu Lin, Aaron Mishkin
5 papers
· 2018–2023
· ICML, NeurIPS, ICLR
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Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning
ICML 2023
Handling the Positive-Definite Constraint in the Bayesian Learning Rule
ICML 2020
Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations
ICML 2019
SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient
NeurIPS 2018
Variational Message Passing with Structured Inference Networks
ICLR 2018
8 papers whose co-authors appear nowhere else under this name
The Bayesian Learning Rule
JMLR 2023
The Lie-Group Bayesian Learning Rule
AISTATS 2023
Subset-of-data variational inference for deep Gaussian-processes regression
UAI 2021
Training Binary Neural Networks using the Bayesian Learning Rule
ICML 2020
A Generalization Bound for Online Variational Inference
ACML 2019
Scalable Training of Inference Networks for Gaussian-Process Models
ICML 2019
Kullback-Leibler Proximal Variational Inference
NeurIPS 2015
Decoupled Variational Gaussian Inference
NeurIPS 2014