Mohammad Emtiyaz Khan
Mohammad Emtiyaz Khan
Center for Advanced Intelligence Project (AIP), RIKEN, Tokyo
Verified email at postman.riken.jp - Homepage
Title
Cited by
Cited by
Year
Fast and scalable bayesian deep learning by weight-perturbation in adam
M Khan, D Nielsen, V Tangkaratt, W Lin, Y Gal, A Srivastava
International Conference on Machine Learning, 2611-2620, 2018
1032018
Smarper: Context-aware and automatic runtime-permissions for mobile devices
K Olejnik, I Dacosta, JS Machado, K Huguenin, ME Khan, JP Hubaux
2017 IEEE Symposium on Security and Privacy (SP), 1058-1076, 2017
762017
Variational bounds for mixed-data factor analysis
MEE Khan, G Bouchard, KP Murphy, BM Marlin
Advances in Neural Information Processing Systems 23, 1108-1116, 2010
652010
An expectation-maximization algorithm based Kalman smoother approach for event-related desynchronization (ERD) estimation from EEG
ME Khan, DN Dutt
IEEE transactions on biomedical engineering 54 (7), 1191-1198, 2007
562007
Practical Deep Learning with Bayesian Principles
K Osawa, S Swaroop, A Jain, R Eschenhagen, RE Turner, R Yokota, ...
arXiv preprint arXiv:1906.02506, 2019
532019
A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models.
ME Khan, S Mohamed, BM Marlin, KP Murphy
AISTATS, 610-618, 2012
502012
Conjugate-computation variational inference: Converting variational inference in non-conjugate models to inferences in conjugate models
M Khan, W Lin
Artificial Intelligence and Statistics, 878-887, 2017
492017
Piecewise bounds for estimating Bernoulli-logistic latent Gaussian models
BM Marlin, ME Khan, KP Murphy
ICML, 2011
402011
Fast Dual Variational Inference for Non-Conjugate Latent Gaussian Models
ME Khan, A Aravkin, M Friedlander, M Seeger
International conference on Machine learning, 2013
352013
Kullback-Leibler Proximal Variational Inference
ME Khan, P Baqué, F Fleuret, P Fua
Advances in Neural Information Processing Systems, 2015
322015
Variational Message Passing with Structured Inference Networks
W Lin, N Hubacher, ME Khan
arXiv preprint arXiv:1803.05589, 2018
312018
Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression.
ME Khan, S Mohamed, KP Murphy
NIPS, 3149-3157, 2012
312012
Faster Stochastic Variational Inference using Proximal-Gradient Methods with General Divergence Functions
ME Khan, L Switzerland, R Babanezhad, W Lin, M Schmidt, M Sugiyama
Uncertainty in Artificial Intelligence (UAI), 2016
292016
Slang: Fast structured covariance approximations for bayesian deep learning with natural gradient
A Mishkin, F Kunstner, D Nielsen, M Schmidt, ME Khan
Advances in Neural Information Processing Systems, 6248-6258, 2018
272018
Accelerating Bayesian structural inference for non-decomposable Gaussian graphical models
B Moghaddam, E Khan, KP Murphy, BM Marlin
Advances in Neural Information Processing Systems 22, 1285-1293, 2009
242009
UAVs using Bayesian Optimization to Locate WiFi Devices
M Carpin, S Rosati, ME Khan, B Rimoldi
arXiv preprint arXiv:1510.03592, 2015
212015
Fast yet simple natural-gradient descent for variational inference in complex models
ME Khan, D Nielsen
2018 International Symposium on Information Theory and Its Applications …, 2018
202018
TD-Regularized Actor-Critic Methods
S Parisi, V Tangkaratt, J Peters, ME Khan
arXiv preprint arXiv:1812.08288, 2018
152018
Variational learning for latent Gaussian model of discrete data
M Khan
University of British Columbia, 2012
152012
Bayesian Inference
ME Khan
14*2018
The system can't perform the operation now. Try again later.
Articles 1–20