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Mohammad Emtiyaz Khan

RIKEN Center for AI Project, Tokyo, Japan

The Lie-Group Bayesian Learning Rule


Mar 08, 2023
Eren Mehmet Kıral, Thomas Möllenhoff, Mohammad Emtiyaz Khan

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* AISTATS 2023 

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Simplifying Momentum-based Riemannian Submanifold Optimization


Feb 20, 2023
Wu Lin, Valentin Duruisseaux, Melvin Leok, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt

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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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* To appear in Advances in Neural Information Processing Systems (NeurIPS 2021) 

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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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* ICML workshop paper. arXiv admin note: substantial text overlap with arXiv:2102.07405 

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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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* Accepted in the 37th Conference on Uncertainty in Artificial Intelligence (UAI 2021) 

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The Bayesian Learning Rule


Jul 09, 2021
Mohammad Emtiyaz Khan, HÃ¥vard 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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