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Maruan Al-Shedivat
On Data Efficiency of Meta-learning

Jan 30, 2021
Maruan Al-Shedivat, Liam Li, Eric Xing, Ameet Talwalkar

* Preliminary version. An updated version is to appear in AISTATS 2021 
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Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms

Oct 11, 2020
Maruan Al-Shedivat, Jennifer Gillenwater, Eric Xing, Afshin Rostamizadeh

* 27 pages, 7 figures 
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Learning from Imperfect Annotations

Apr 07, 2020
Emmanouil Antonios Platanios, Maruan Al-Shedivat, Eric Xing, Tom Mitchell


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Regularizing Black-box Models for Improved Interpretability (HILL 2019 Version)

May 31, 2019
Gregory Plumb, Maruan Al-Shedivat, Eric Xing, Ameet Talwalkar

* presented at 2019 ICML Workshop on Human in the Loop Learning (HILL 2019), Long Beach, USA. arXiv admin note: substantial text overlap with arXiv:1902.06787 
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Consistency by Agreement in Zero-shot Neural Machine Translation

Apr 10, 2019
Maruan Al-Shedivat, Ankur P. Parikh

* NAACL 2019 (14 pages, 5 figures) 
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Regularizing Black-box Models for Improved Interpretability

Feb 18, 2019
Gregory Plumb, Maruan Al-Shedivat, Eric Xing, Ameet Talwalkar


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On the Complexity of Exploration in Goal-Driven Navigation

Nov 16, 2018
Maruan Al-Shedivat, Lisa Lee, Ruslan Salakhutdinov, Eric Xing

* Relational Representation Learning Workshop (NIPS 2018) 
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Learning with Opponent-Learning Awareness

Sep 19, 2018
Jakob N. Foerster, Richard Y. Chen, Maruan Al-Shedivat, Shimon Whiteson, Pieter Abbeel, Igor Mordatch


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DiCE: The Infinitely Differentiable Monte-Carlo Estimator

Sep 19, 2018
Jakob Foerster, Gregory Farquhar, Maruan Al-Shedivat, Tim Rocktäschel, Eric P. Xing, Shimon Whiteson


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Learning Policy Representations in Multiagent Systems

Jul 31, 2018
Aditya Grover, Maruan Al-Shedivat, Jayesh K. Gupta, Yura Burda, Harrison Edwards

* ICML 2018 
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Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments

Feb 23, 2018
Maruan Al-Shedivat, Trapit Bansal, Yuri Burda, Ilya Sutskever, Igor Mordatch, Pieter Abbeel

* Published as a conference paper at ICLR 2018 
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Personalized Survival Prediction with Contextual Explanation Networks

Jan 30, 2018
Maruan Al-Shedivat, Avinava Dubey, Eric P. Xing

* Machine Learning for Healthcare Workshop, NIPS 2017 
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The Intriguing Properties of Model Explanations

Jan 30, 2018
Maruan Al-Shedivat, Avinava Dubey, Eric P. Xing

* Interpretable ML Symposium, NIPS 2017 
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Contextual Explanation Networks

Jan 30, 2018
Maruan Al-Shedivat, Avinava Dubey, Eric P. Xing


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Learning Scalable Deep Kernels with Recurrent Structure

Oct 05, 2017
Maruan Al-Shedivat, Andrew Gordon Wilson, Yunus Saatchi, Zhiting Hu, Eric P. Xing

* Journal of Machine Learning Research (JMLR), JMLR 18(82):1-37, 2017 
 * 37 pages, 7 figures, 5 tables. Updated to the final version that appears in JMLR, 18(82):1-37, 2017 
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Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines

Dec 15, 2016
Emre O. Neftci, Bruno U. Pedroni, Siddharth Joshi, Maruan Al-Shedivat, Gert Cauwenberghs

* Frontiers in Neuroscience 10 (2016): 241 
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Learning HMMs with Nonparametric Emissions via Spectral Decompositions of Continuous Matrices

Sep 21, 2016
Kirthevasan Kandasamy, Maruan Al-Shedivat, Eric P. Xing

* To appear in NIPS 2016 
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Learning Non-deterministic Representations with Energy-based Ensembles

Apr 22, 2015
Maruan Al-Shedivat, Emre Neftci, Gert Cauwenberghs

* 9 pages, 3 figures, ICLR-15 workshop contribution 
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