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Mohammad Emtiyaz Khan

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RIKEN Center for AI Project, Tokyo, Japan

Can Calibration Improve Sample Prioritization?

Oct 12, 2022
Ganesh Tata, Gautham Krishna Gudur, Gopinath Chennupati, Mohammad Emtiyaz Khan

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SAM as an Optimal Relaxation of Bayes

Oct 04, 2022
Thomas Möllenhoff, Mohammad Emtiyaz Khan

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Dual Parameterization of Sparse Variational Gaussian Processes

Nov 05, 2021
Vincent Adam, Paul E. Chang, Mohammad Emtiyaz Khan, Arno Solin

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Structured second-order methods via natural gradient descent

Jul 22, 2021
Wu Lin, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt

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Subset-of-Data Variational Inference for Deep Gaussian-Processes Regression

Jul 17, 2021
Ayush Jain, P. K. Srijith, Mohammad Emtiyaz Khan

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The Bayesian Learning Rule

Jul 09, 2021
Mohammad Emtiyaz Khan, Håvard Rue

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Knowledge-Adaptation Priors

Jun 16, 2021
Mohammad Emtiyaz Khan, Siddharth Swaroop

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Beyond Target Networks: Improving Deep $Q$-learning with Functional Regularization

Jun 07, 2021
Alexandre Piché, Joseph Marino, Gian Maria Marconi, Christopher Pal, Mohammad Emtiyaz Khan

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Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning

May 11, 2021
Alexander Immer, Matthias Bauer, Vincent Fortuin, Gunnar Rätsch, Mohammad Emtiyaz Khan

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