Rchr
J-GLOBAL ID：202101009665047181
Update date: Feb. 01, 2024
Khan Mohammad Emtiyaz
カーン モハマド・エムティヤーズ | Khan Mohammad Emtiyaz
Affiliation and department：
Job title：
Team Leader
Research field (1)：
Statistical science
Research keywords (1)：
machine learning
Research theme for competitive and other funds (2)：
- 2020 - 2023 Application of Unconventional Linear Algebra Techniques to Continuous Learning in Supergiant Neural Networks
- 2020 - 2023 Life-Long Deep Learning using Bayesian Principles
Papers (60)：
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Wu Lin, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt 0001. Structured second-order methods via natural gradient descent. CoRR. 2021. abs/2107.10884
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Ayush Jain, P. K. Srijith, Mohammad Emtiyaz Khan. Subset-of-Data Variational Inference for Deep Gaussian-Processes Regression. CoRR. 2021. abs/2107.08265
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Mohammad Emtiyaz Khan, Håvard Rue. The Bayesian Learning Rule. CoRR. 2021. abs/2107.04562
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Mohammad Emtiyaz Khan, Siddharth Swaroop. Knowledge-Adaptation Priors. CoRR. 2021. abs/2106.08769
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Alexandre Piché, Joseph Marino, Gian Maria Marconi, Christopher Joseph Pal, Mohammad Emtiyaz Khan. Beyond Target Networks: Improving Deep Q-learning with Functional Regularization. CoRR. 2021. abs/2106.02613
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