Al-Shedivat, Maruan

13 publications

AISTATS 2021 On Data Efficiency of Meta-Learning Maruan Al-Shedivat, Liam Li, Eric Xing, Ameet Talwalkar

ICLR 2021 Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms Maruan Al-Shedivat, Jennifer Gillenwater, Eric Xing, Afshin Rostamizadeh

JMLR 2020 Contextual Explanation Networks Maruan Al-Shedivat, Avinava Dubey, Eric Xing

NeurIPS 2020 Regularizing Black-Box Models for Improved Interpretability Gregory Plumb, Maruan Al-Shedivat, Ángel Alexander Cabrera, Adam Perer, Eric P. Xing, Ameet Talwalkar

ICML 2019 A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs Jingkai Mao, Jakob Foerster, Tim Rocktäschel, Maruan Al-Shedivat, Gregory Farquhar, Shimon Whiteson

ICLR 2018 Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments Maruan Al-Shedivat, Trapit Bansal, Yura Burda, Ilya Sutskever, Igor Mordatch, Pieter Abbeel

ICML 2018 DiCE: The Infinitely Differentiable Monte Carlo Estimator Jakob Foerster, Gregory Farquhar, Maruan Al-Shedivat, Tim Rocktäschel, Eric Xing, Shimon Whiteson

ICML 2018 Learning Policy Representations in Multiagent Systems Aditya Grover, Maruan Al-Shedivat, Jayesh Gupta, Yuri Burda, Harrison Edwards

JMLR 2017 Learning Scalable Deep Kernels with Recurrent Structure Maruan Al-Shedivat, Andrew Gordon Wilson, Yunus Saatchi, Zhiting Hu, Eric P. Xing

ICML 2016 ADIOS: Architectures Deep in Output Space Moustapha Cisse, Maruan Al-Shedivat, Samy Bengio

NeurIPS 2016 Learning HMMs with Nonparametric Emissions via Spectral Decompositions of Continuous Matrices Kirthevasan Kandasamy, Maruan Al-Shedivat, Eric P Xing

ICLR 2015 Learning Non-Deterministic Representations with Energy-Based Ensembles Maruan Al-Shedivat, Emre Neftci, Gert Cauwenberghs

AAAI 2014 Supervised Transfer Sparse Coding Maruan Al-Shedivat, Jim Jing-Yan Wang, Majed Alzahrani, Jianhua Z. Huang, Xin Gao