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An Empirical Study of Implicit Regularization in Deep Offline RL


Jul 07, 2022
Caglar Gulcehre, Srivatsan Srinivasan, Jakub Sygnowski, Georg Ostrovski, Mehrdad Farajtabar, Matt Hoffman, Razvan Pascanu, Arnaud Doucet

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* 40 pages, 37 figures, 2 tables 

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Efficient Continual Learning Ensembles in Neural Network Subspaces


Feb 20, 2022
Thang Doan, Seyed Iman Mirzadeh, Joelle Pineau, Mehrdad Farajtabar

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Architecture Matters in Continual Learning


Feb 01, 2022
Seyed Iman Mirzadeh, Arslan Chaudhry, Dong Yin, Timothy Nguyen, Razvan Pascanu, Dilan Gorur, Mehrdad Farajtabar

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* preprint 

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Wide Neural Networks Forget Less Catastrophically


Oct 21, 2021
Seyed Iman Mirzadeh, Arslan Chaudhry, Huiyi Hu, Razvan Pascanu, Dilan Gorur, Mehrdad Farajtabar

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* preprint 

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Task-agnostic Continual Learning with Hybrid Probabilistic Models


Jun 24, 2021
Polina Kirichenko, Mehrdad Farajtabar, Dushyant Rao, Balaji Lakshminarayanan, Nir Levine, Ang Li, Huiyi Hu, Andrew Gordon Wilson, Razvan Pascanu

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Balance Regularized Neural Network Models for Causal Effect Estimation


Nov 23, 2020
Mehrdad Farajtabar, Andrew Lee, Yuanjian Feng, Vishal Gupta, Peter Dolan, Harish Chandran, Martin Szummer

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* Causal Discovery & Causality-Inspired Machine Learning Workshop at Neural Information Processing Systems, 2020 

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Linear Mode Connectivity in Multitask and Continual Learning


Oct 09, 2020
Seyed Iman Mirzadeh, Mehrdad Farajtabar, Dilan Gorur, Razvan Pascanu, Hassan Ghasemzadeh

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The Effectiveness of Memory Replay in Large Scale Continual Learning


Oct 06, 2020
Yogesh Balaji, Mehrdad Farajtabar, Dong Yin, Alex Mott, Ang Li

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* 15 pages 

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SOLA: Continual Learning with Second-Order Loss Approximation


Jun 19, 2020
Dong Yin, Mehrdad Farajtabar, Ang Li

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A maximum-entropy approach to off-policy evaluation in average-reward MDPs


Jun 17, 2020
Nevena Lazic, Dong Yin, Mehrdad Farajtabar, Nir Levine, Dilan Gorur, Chris Harris, Dale Schuurmans

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