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Off-Policy Risk Assessment in Contextual Bandits


Apr 18, 2021
Audrey Huang, Liu Leqi, Zachary C. Lipton, Kamyar Azizzadenesheli


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On the Convergence and Optimality of Policy Gradient for Markov Coherent Risk


Mar 05, 2021
Audrey Huang, Liu Leqi, Zachary C. Lipton, Kamyar Azizzadenesheli


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On the Convergence and Optimality of Policy Gradient for Coherent Risk


Mar 04, 2021
Audrey Huang, Liu Leqi, Zachary C. Lipton, Kamyar Azizzadenesheli


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Multi-Agent Multi-Armed Bandits with Limited Communication


Feb 10, 2021
Mridul Agarwal, Vaneet Aggarwal, Kamyar Azizzadenesheli


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HypoSVI: Hypocenter inversion with Stein variational inference and Physics Informed Neural Networks


Jan 12, 2021
Jonathan D. Smith, Zachary E. Ross, Kamyar Azizzadenesheli, Jack B. Muir

* Changing the figures to rasterized form to reduce file size 

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Importance Weight Estimation and Generalization in Domain Adaptation under Label Shift


Nov 29, 2020
Kamyar Azizzadenesheli


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Fourier Neural Operator for Parametric Partial Differential Equations


Oct 18, 2020
Zongyi Li, Nikola Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew Stuart, Anima Anandkumar


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Explore More and Improve Regret in Linear Quadratic Regulators


Jul 23, 2020
Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar


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Deep Bayesian Quadrature Policy Optimization


Jun 28, 2020
Akella Ravi Tej, Kamyar Azizzadenesheli, Mohammad Ghavamzadeh, Anima Anandkumar, Yisong Yue

* Code available at https://github.com/Akella17/Deep-Bayesian-Quadrature-Policy-Optimization 

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Competitive Policy Optimization


Jun 18, 2020
Manish Prajapat, Kamyar Azizzadenesheli, Alexander Liniger, Yisong Yue, Anima Anandkumar

* 11 pages main paper, 6 pages references, and 31 pages appendix. 14 figures 

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Multipole Graph Neural Operator for Parametric Partial Differential Equations


Jun 16, 2020
Zongyi Li, Nikola Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew Stuart, Anima Anandkumar


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MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework


May 01, 2020
Chiyu Max Jiang, Soheil Esmaeilzadeh, Kamyar Azizzadenesheli, Karthik Kashinath, Mustafa Mustafa, Hamdi A. Tchelepi, Philip Marcus, Prabhat, Anima Anandkumar

* Supplementary Video: https://youtu.be/mjqwPch9gDo 

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Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems


Mar 25, 2020
Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar


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EikoNet: Solving the Eikonal equation with Deep Neural Networks


Mar 25, 2020
Jonathan D. Smith, Kamyar Azizzadenesheli, Zachary E. Ross


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Regret Bound of Adaptive Control in Linear Quadratic Gaussian (LQG) Systems


Mar 12, 2020
Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar


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Regret Minimization in Partially Observable Linear Quadratic Control


Mar 08, 2020
Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar


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Neural Operator: Graph Kernel Network for Partial Differential Equations


Mar 07, 2020
Zongyi Li, Nikola Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew Stuart, Anima Anandkumar


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Directivity Modes of Earthquake Populations with Unsupervised Learning


Jun 30, 2019
Zachary E. Ross, Daniel T. Trugman, Kamyar Azizzadenesheli, Anima Anandkumar

* 14 pages, 14 figures 

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Learning Causal State Representations of Partially Observable Environments


Jun 25, 2019
Amy Zhang, Zachary C. Lipton, Luis Pineda, Kamyar Azizzadenesheli, Anima Anandkumar, Laurent Itti, Joelle Pineau, Tommaso Furlanello

* 16 pages, 11 figures 

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Regularized Learning for Domain Adaptation under Label Shifts


Mar 22, 2019
Kamyar Azizzadenesheli, Anqi Liu, Fanny Yang, Animashree Anandkumar

* @article{azizzadenesheli2018regularized, title={Regularized Learning for Domain Adaptation under Label Shifts}, author={Azizzadenesheli, Kamyar and Liu, Anqi and Yang, Fanny and Anandkumar, Animashree}, year={2019} } 
* International Conference on Learning Representations (ICLR) 2019 

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Neural Lander: Stable Drone Landing Control using Learned Dynamics


Mar 04, 2019
Guanya Shi, Xichen Shi, Michael O'Connell, Rose Yu, Kamyar Azizzadenesheli, Animashree Anandkumar, Yisong Yue, Soon-Jo Chung

* 7 pages, 5 figures, https://youtu.be/FLLsG0S78ik 

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Stochastic Linear Bandits with Hidden Low Rank Structure


Jan 28, 2019
Sahin Lale, Kamyar Azizzadenesheli, Anima Anandkumar, Babak Hassibi


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signSGD with Majority Vote is Communication Efficient And Byzantine Fault Tolerant


Oct 19, 2018
Jeremy Bernstein, Jiawei Zhao, Kamyar Azizzadenesheli, Anima Anandkumar


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Trust Region Policy Optimization of POMDPs


Oct 18, 2018
Kamyar Azizzadenesheli, Manish Kumar Bera, Animashree Anandkumar


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signSGD: Compressed Optimisation for Non-Convex Problems


Aug 07, 2018
Jeremy Bernstein, Yu-Xiang Wang, Kamyar Azizzadenesheli, Anima Anandkumar


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Reinforcement Learning in Rich-Observation MDPs using Spectral Methods


Jun 19, 2018
Kamyar Azizzadenesheli, Alessandro Lazaric, Animashree Anandkumar


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Sample-Efficient Deep RL with Generative Adversarial Tree Search


Jun 15, 2018
Kamyar Azizzadenesheli, Brandon Yang, Weitang Liu, Emma Brunskill, Zachary C Lipton, Animashree Anandkumar


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Combating Reinforcement Learning's Sisyphean Curse with Intrinsic Fear


Mar 13, 2018
Zachary C. Lipton, Kamyar Azizzadenesheli, Abhishek Kumar, Lihong Li, Jianfeng Gao, Li Deng


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