Maruan Al-Shedivat

Publication Activity (10 Years)

Years Active: 2014-2021
Publications (10 Years): 37

Top Topics

Multiagent Systems

Machine Translation

Unsupervised Learning

Top Venues

J. Mach. Learn. Res.

Publications

Maruan Al-Shedivat, Jennifer Gillenwater, Eric P. Xing, Afshin Rostamizadeh
Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms. ICLR (2021)
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 Horvath, 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
A Field Guide to Federated Optimization. CoRR (2021)
Huaxiu Yao, Yingxin Wu, Maruan Al-Shedivat, Eric P. Xing
Knowledge-Aware Meta-learning for Low-Resource Text Classification. CoRR (2021)
Maruan Al-Shedivat, Liam Li, Eric Po Xing, Ameet Talwalkar
On Data Efficiency of Meta-learning. CoRR (2021)
Huaxiu Yao, Yingxin Wu, Maruan Al-Shedivat, Eric P. Xing
Knowledge-Aware Meta-learning for Low-Resource Text Classification. EMNLP (1) (2021)
Bowen Tan, Zichao Yang, Maruan Al-Shedivat, Eric P. Xing, Zhiting Hu
Progressive Generation of Long Text with Pretrained Language Models. NAACL-HLT (2021)
Maruan Al-Shedivat, Liam Li, Eric P. Xing, Ameet Talwalkar
On Data Efficiency of Meta-learning. AISTATS (2021)
Gregory Plumb, Maruan Al-Shedivat, Ángel Alexander Cabrera, Adam Perer, Eric P. Xing, Ameet Talwalkar
Regularizing Black-box Models for Improved Interpretability. NeurIPS (2020)
Maruan Al-Shedivat, Avinava Dubey, Eric P. Xing
Contextual Explanation Networks. J. Mach. Learn. Res. 21 (2020)
Emmanouil Antonios Platanios, Maruan Al-Shedivat, Eric P. Xing, Tom M. Mitchell
Learning from Imperfect Annotations. CoRR (2020)
Maruan Al-Shedivat, Jennifer Gillenwater, Eric P. Xing, Afshin Rostamizadeh
Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms. CoRR (2020)
Bowen Tan, Zichao Yang, Maruan Al-Shedivat, Eric P. Xing, Zhiting Hu
Progressive Generation of Long Text. CoRR (2020)
Maruan Al-Shedivat, Ankur P. Parikh
Consistency by Agreement in Zero-shot Neural Machine Translation. CoRR (2019)
Jingkai Mao, Jakob N. Foerster, Tim Rocktäschel, Maruan Al-Shedivat, Gregory Farquhar, Shimon Whiteson
A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs. ICML (2019)
Maruan Al-Shedivat, Ankur P. Parikh
Consistency by Agreement in Zero-Shot Neural Machine Translation. NAACL-HLT (1) (2019)
Gregory Plumb, Maruan Al-Shedivat, Eric P. Xing, Ameet Talwalkar
Regularizing Black-box Models for Improved Interpretability (HILL 2019 Version). CoRR (2019)
Gregory Plumb, Maruan Al-Shedivat, Eric P. Xing, Ameet Talwalkar
Regularizing Black-box Models for Improved Interpretability. CoRR (2019)
Aditya Grover, Maruan Al-Shedivat, Jayesh K. Gupta, Yura Burda, Harrison Edwards
Learning Policy Representations in Multiagent Systems. CoRR (2018)
Jakob N. Foerster, Gregory Farquhar, Maruan Al-Shedivat, Tim Rocktäschel, Eric P. Xing, Shimon Whiteson
DiCE: The Infinitely Differentiable Monte-Carlo Estimator. ICLR (Workshop) (2018)
Maruan Al-Shedivat, Lisa Lee, Ruslan Salakhutdinov, Eric P. Xing
On the Complexity of Exploration in Goal-Driven Navigation. CoRR (2018)
Maruan Al-Shedivat, Avinava Dubey, Eric P. Xing
The Intriguing Properties of Model Explanations. CoRR (2018)
Jakob N. Foerster, Gregory Farquhar, Maruan Al-Shedivat, Tim Rocktäschel, Eric P. Xing, Shimon Whiteson
DiCE: The Infinitely Differentiable Monte-Carlo Estimator. CoRR (2018)
Aditya Grover, Maruan Al-Shedivat, Jayesh K. Gupta, Yuri Burda, Harrison Edwards
Learning Policy Representations in Multiagent Systems. ICML (2018)
Jakob N. Foerster, Richard Y. Chen, Maruan Al-Shedivat, Shimon Whiteson, Pieter Abbeel, Igor Mordatch
Learning with Opponent-Learning Awareness. AAMAS (2018)
Maruan Al-Shedivat, Avinava Dubey, Eric P. Xing
Personalized Survival Prediction with Contextual Explanation Networks. CoRR (2018)
Jakob N. Foerster, Gregory Farquhar, Maruan Al-Shedivat, Tim Rocktäschel, Eric P. Xing, Shimon Whiteson
DiCE: The Infinitely Differentiable Monte Carlo Estimator. ICML (2018)
Maruan Al-Shedivat, Trapit Bansal, Yura Burda, Ilya Sutskever, Igor Mordatch, Pieter Abbeel
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments. ICLR (2018)
Aditya Grover, Maruan Al-Shedivat, Jayesh K. Gupta, Yuri Burda, Harrison Edwards
Evaluating Generalization in Multiagent Systems using Agent-Interaction Graphs. AAMAS (2018)
Maruan Al-Shedivat, Avinava Dubey, Eric P. Xing
Contextual Explanation Networks. CoRR (2017)
Maruan Al-Shedivat, Andrew Gordon Wilson, Yunus Saatchi, Zhiting Hu, Eric P. Xing
Learning Scalable Deep Kernels with Recurrent Structure. J. Mach. Learn. Res. 18 (2017)
Jakob N. Foerster, Richard Y. Chen, Maruan Al-Shedivat, Shimon Whiteson, Pieter Abbeel, Igor Mordatch
Learning with Opponent-Learning Awareness. CoRR (2017)
Maruan Al-Shedivat, Trapit Bansal, Yuri Burda, Ilya Sutskever, Igor Mordatch, Pieter Abbeel
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments. CoRR (2017)
Kirthevasan Kandasamy, Maruan Al-Shedivat, Eric P. Xing
Learning HMMs with Nonparametric Emissions via Spectral Decompositions of Continuous Matrices. NIPS (2016)
Kirthevasan Kandasamy, Maruan Al-Shedivat, Eric P. Xing
Learning HMMs with Nonparametric Emissions via Spectral Decompositions of Continuous Matrices. CoRR (2016)
Moustapha Cissé, Maruan Al-Shedivat, Samy Bengio
ADIOS: Architectures Deep In Output Space. ICML (2016)
Rawan Naous, Maruan Al-Shedivat, Emre Neftci, Gert Cauwenberghs, Khaled Nabil Salama
Stochastic synaptic plasticity with memristor crossbar arrays. ISCAS (2016)
Maruan Al-Shedivat, Andrew Gordon Wilson, Yunus Saatchi, Zhiting Hu, Eric P. Xing
Learning Scalable Deep Kernels with Recurrent Structure. CoRR (2016)
Maruan Al-Shedivat, Emre Neftci, Gert Cauwenberghs
Learning Non-deterministic Representations with Energy-based Ensembles. ICLR (Workshop) (2015)
Emre Neftci, Bruno U. Pedroni, Siddharth Joshi, Maruan Al-Shedivat, Gert Cauwenberghs
Unsupervised Learning in Synaptic Sampling Machines. CoRR (2015)
Maruan Al-Shedivat, Rawan Naous, Emre Neftci, Gert Cauwenberghs, Khaled N. Salama
Inherently stochastic spiking neurons for probabilistic neural computation. NER (2015)
Maruan Al-Shedivat, Rawan Naous, Gert Cauwenberghs, Khaled Nabil Salama
Memristors Empower Spiking Neurons With Stochasticity. IEEE J. Emerg. Sel. Topics Circuits Syst. 5 (2) (2015)
Maruan Al-Shedivat, Jim Jing-Yan Wang, Majed Alzahrani, Jianhua Z. Huang, Xin Gao
Supervised Transfer Sparse Coding. AAAI (2014)