Kamyar Azizzadenesheli
Kamyar Azizzadenesheli
Postdoctoral fellow at Caltech
Geverifieerd e-mailadres voor caltech.edu - Homepage
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Stochastic activation pruning for robust adversarial defense
GS Dhillon, K Azizzadenesheli, ZC Lipton, J Bernstein, J Kossaifi, ...
International Conference on Learning Representations (ICLR) 2018, 2018
1572018
signSGD: compressed optimisation for non-convex problems
J Bernstein, YX Wang, K Azizzadenesheli, A Anandkumar
International Conference on Machine Learning (ICML) 2018, 2018
1052018
Efficient Exploration through Bayesian Deep Q-Networks
K Azizzadenesheli, A Anandkumar
Neural Information Processing Systems (NIPS) 2017 Workshop, 2018
562018
Reinforcement learning of POMDPs using spectral methods
K Azizzadenesheli, A Lazaric, A Anandkumar
29th Annual Conference on Learning Theory (COLT) 2016, 2016
492016
Combating Reinforcement Learning's Sisyphean Curse with Intrinsic Fear
ZC Lipton, K Azizzadenesheli, A Kumar, L Li, J Gao, L Deng
Neural Information Processing Systems (NIPS) 2016 Workshop, 2016
43*2016
Neural Lander: Stable Drone Landing Control using Learned Dynamics
G Shi, X Shi, M O'Connell, R Yu, K Azizzadenesheli, A Anandkumar, ...
International Conference on Robotics and Automation (ICRA) 2019, 2018
312018
Surprising Negative Results for Generative Adversarial Tree Search
K Azizzadenesheli, B Yang, W Liu, Z Lipton, A Anandkumar
Neural Information Processing Systems (NeurIPS) 2018 Workshop, 2018
18*2018
signSGD with Majority Vote is Communication Efficient and Fault Tolerant
J Bernstein, J Zhao, K Azizzadenesheli, A Anandkumar
International Conference on Learning Representations (ICLR) 2019, 2018
17*2018
Reinforcement learning in rich-observation MDPs using spectral methods
K Azizzadenesheli, A Lazaric, A Anandkumar
Multi-disciplinary Conference on Reinforcement Learning and Decision Making …, 2016
172016
Regularized Learning for Domain Adaptation under Label Shifts
K Azizzadenesheli, A Liu, F Yang, A Anandkumar
International Conference on Learning Representations (ICLR) 2018, 2018
162018
Open problem: Approximate planning of POMDPs in the class of memoryless policies
K Azizzadenesheli, A Lazaric, A Anandkumar
Conference on Learning Theory (COLT) 2016, 1639-1642, 1639-1642, 2016
52016
Maybe a few considerations in Reinforcement Learning Research?
K Azizzadenesheli
42019
Experimental results: Reinforcement Learning of POMDPs using Spectral Methods
K Azizzadenesheli, A Lazaric, A Anandkumar
Neural Information Processing Systems (NIPS) 2016 Workshop, 2017
42017
Stochastic linear bandits with hidden low rank structure
S Lale, K Azizzadenesheli, A Anandkumar, B Hassibi
arXiv preprint arXiv:1901.09490, 2019
32019
Trust Region Policy Optimization for POMDPs
K Azizzadenesheli, MK Bera, A Anandkumar
arXiv preprint arXiv:1810.07900, 2018
32018
Regret Bound of Adaptive Control in Linear Quadratic Gaussian (LQG) Systems
S Lale, K Azizzadenesheli, B Hassibi, A Anandkumar
arXiv preprint arXiv:2003.05999, 2020
12020
Regret Minimization in Partially Observable Linear Quadratic Control
S Lale, K Azizzadenesheli, B Hassibi, A Anandkumar
arXiv preprint arXiv:2002.00082, 2020
12020
Learning causal state representations of partially observable environments
A Zhang, ZC Lipton, L Pineda, K Azizzadenesheli, A Anandkumar, L Itti, ...
arXiv preprint arXiv:1906.10437, 2019
12019
Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems
S Lale, K Azizzadenesheli, B Hassibi, A Anandkumar
arXiv preprint arXiv:2003.11227, 2020
2020
Neural Operator: Graph Kernel Network for Partial Differential Equations
Z Li, N Kovachki, K Azizzadenesheli, B Liu, K Bhattacharya, A Stuart, ...
arXiv preprint arXiv:2003.03485, 2020
2020
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Artikelen 1–20