Maruan Al-Shedivat

According to our database, Maruan Al-Shedivat authored at least 31 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Principles of Learning in Multitask Settings: A Probabilistic Perspective.

Maruan Al-Shedivat

PhD thesis, 2022

2021

A Field Guide to Federated Optimization.

Jianyu Wang, Zachary Charles, Zheng Xu, Gauri Joshi, H. Brendan McMahan, Blaise Agüera y Arcas, Maruan Al-Shedivat, Galen Andrew, Salman Avestimehr, Katharine Daly, Deepesh Data, Suhas N. Diggavi, Hubert Eichner, Advait Gadhikar, Zachary Garrett, Antonious M. Girgis, Filip Hanzely, Andrew Hard, Chaoyang He, Samuel Horváth, Zhouyuan Huo, Alex Ingerman, Martin Jaggi, Tara Javidi, Peter Kairouz, Satyen Kale, Sai Praneeth Karimireddy, Jakub Konecný, Sanmi Koyejo, Tian Li, Luyang Liu, Mehryar Mohri, Hang Qi, Sashank J. Reddi, Peter Richtárik, Karan Singhal, Virginia Smith, Mahdi Soltanolkotabi, Weikang Song, Ananda Theertha Suresh, Sebastian U. Stich, Ameet Talwalkar, Hongyi Wang, Blake E. Woodworth, Shanshan Wu, Felix X. Yu, Honglin Yuan, Manzil Zaheer, Mi Zhang, Tong Zhang, Chunxiang Zheng, Chen Zhu, Wennan Zhu

CoRR, 2021

Progressive Generation of Long Text with Pretrained Language Models.

Bowen Tan, Zichao Yang, Maruan Al-Shedivat, Eric P. Xing, Zhiting Hu

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms.

Maruan Al-Shedivat, Jennifer Gillenwater, Eric P. Xing, Afshin Rostamizadeh

Proceedings of the 9th International Conference on Learning Representations, 2021

Knowledge-Aware Meta-learning for Low-Resource Text Classification.

Huaxiu Yao, Yingxin Wu, Maruan Al-Shedivat, Eric P. Xing

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

On Data Efficiency of Meta-learning.

Maruan Al-Shedivat, Liam Li, Eric P. Xing, Ameet Talwalkar

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Contextual Explanation Networks.

Maruan Al-Shedivat, Avinava Dubey, Eric P. Xing

J. Mach. Learn. Res., 2020

Progressive Generation of Long Text.

Bowen Tan, Zichao Yang, Maruan Al-Shedivat, Eric P. Xing, Zhiting Hu

CoRR, 2020

Learning from Imperfect Annotations.

Emmanouil Antonios Platanios, Maruan Al-Shedivat, Eric P. Xing, Tom M. Mitchell

CoRR, 2020

Regularizing Black-box Models for Improved Interpretability.

Gregory Plumb, Maruan Al-Shedivat, Ángel Alexander Cabrera, Adam Perer, Eric P. Xing, Ameet Talwalkar

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

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

Gregory Plumb, Maruan Al-Shedivat, Eric P. Xing, Ameet Talwalkar

CoRR, 2019

Regularizing Black-box Models for Improved Interpretability.

Gregory Plumb, Maruan Al-Shedivat, Eric P. Xing, Ameet Talwalkar

CoRR, 2019

Consistency by Agreement in Zero-Shot Neural Machine Translation.

Maruan Al-Shedivat, Ankur P. Parikh

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs.

Jingkai Mao, Jakob N. Foerster, Tim Rocktäschel, Maruan Al-Shedivat, Gregory Farquhar, Shimon Whiteson

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

On the Complexity of Exploration in Goal-Driven Navigation.

Maruan Al-Shedivat, Lisa Lee, Ruslan Salakhutdinov, Eric P. Xing

CoRR, 2018

Personalized Survival Prediction with Contextual Explanation Networks.

Maruan Al-Shedivat, Avinava Dubey, Eric P. Xing

CoRR, 2018

The Intriguing Properties of Model Explanations.

Maruan Al-Shedivat, Avinava Dubey, Eric P. Xing

CoRR, 2018

Learning Policy Representations in Multiagent Systems.

Aditya Grover, Maruan Al-Shedivat, Jayesh K. Gupta, Yuri Burda, Harrison Edwards

Proceedings of the 35th International Conference on Machine Learning, 2018

DiCE: The Infinitely Differentiable Monte-Carlo Estimator.

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

Proceedings of the 6th International Conference on Learning Representations, 2018

Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments.

Maruan Al-Shedivat, Trapit Bansal, Yura Burda, Ilya Sutskever, Igor Mordatch, Pieter Abbeel

Proceedings of the 6th International Conference on Learning Representations, 2018

Evaluating Generalization in Multiagent Systems using Agent-Interaction Graphs.

Aditya Grover, Maruan Al-Shedivat, Jayesh K. Gupta, Yuri Burda, Harrison Edwards

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Learning with Opponent-Learning Awareness.

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

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017

Learning Scalable Deep Kernels with Recurrent Structure.

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

J. Mach. Learn. Res., 2017

2016

Learning HMMs with Nonparametric Emissions via Spectral Decompositions of Continuous Matrices.

Kirthevasan Kandasamy, Maruan Al-Shedivat, Eric P. Xing

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Stochastic synaptic plasticity with memristor crossbar arrays.

Rawan Naous, Maruan Al-Shedivat, Emre Neftci, Gert Cauwenberghs, Khaled Nabil Salama

Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

ADIOS: Architectures Deep In Output Space.

Moustapha Cissé, Maruan Al-Shedivat, Samy Bengio

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Memristors Empower Spiking Neurons With Stochasticity.

Maruan Al-Shedivat, Rawan Naous, Gert Cauwenberghs, Khaled Nabil Salama

IEEE J. Emerg. Sel. Topics Circuits Syst., 2015

Unsupervised Learning in Synaptic Sampling Machines.

Emre Neftci, Bruno U. Pedroni, Siddharth Joshi, Maruan Al-Shedivat, Gert Cauwenberghs

CoRR, 2015

Learning Non-deterministic Representations with Energy-based Ensembles.

Maruan Al-Shedivat, Emre Neftci, Gert Cauwenberghs

Proceedings of the 3rd International Conference on Learning Representations, 2015

Inherently stochastic spiking neurons for probabilistic neural computation.

Maruan Al-Shedivat, Rawan Naous, Emre Neftci, Gert Cauwenberghs, Khaled N. Salama

Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015

2014

Supervised Transfer Sparse Coding.

Maruan Al-Shedivat, Jim Jing-Yan Wang, Majed Alzahrani, Jianhua Z. Huang, Xin Gao

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014