Jack Parker-Holder
Jack Parker-Holder
DPhil Student, University of Oxford
Verified email at robots.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
From complexity to simplicity: Adaptive es-active subspaces for blackbox optimization
KM Choromanski, A Pacchiano, J Parker-Holder, Y Tang, V Sindhwani
Advances in Neural Information Processing Systems, 10299-10309, 2019
172019
Provably robust blackbox optimization for reinforcement learning
K Choromanski, A Pacchiano, J Parker-Holder, Y Tang, D Jain, Y Yang, ...
the Conference on Robot Learning (CoRL), 2019
17*2019
Ready Policy One: World Building Through Active Learning
P Ball, J Parker-Holder, A Pacchiano, K Choromanski, S Roberts
ICML 2020, 2020
42020
Effective Diversity in Population Based Reinforcement Learning
J Parker-Holder, A Pacchiano, K Choromanski, S Roberts
NeurIPS 2020, 2020
42020
Learning to Score Behaviors for Guided Policy Optimization
A Pacchiano, J Parker-Holder, Y Tang, A Choromanska, K Choromanski, ...
ICML 2020, 2020
4*2020
On Optimism in Model-Based Reinforcement Learning
A Pacchiano, P Ball, J Parker-Holder, K Choromanski, S Roberts
arXiv preprint arXiv:2006.11911, 2020
32020
Stochastic Flows and Geometric Optimization on the Orthogonal Group
K Choromanski, D Cheikhi, J Davis, V Likhosherstov, A Nazaret, ...
ICML 2020, 2020
22020
Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits
J Parker-Holder, V Nguyen, S Roberts
NeurIPS 2020, 2020
22020
Practical Nonisotropic Monte Carlo Sampling in High Dimensions via Determinantal Point Processes
K Choromanski, A Pacchiano, J Parker-Holder, Y Tang
International Conference on Artificial Intelligence and Statistics, 1363-1374, 2020
1*2020
Reinforcement Learning with Chromatic Networks
X Song, K Choromanski, J Parker-Holder, Y Tang, W Gao, A Pacchiano, ...
First ICLR Workshop on Neural Architecture Search (NAS 2020), 2019
12019
Taming the Herd: Multi-Modal Meta-Learning with a Population of Agents
R Müller, J Parker-Holder, A Pacchiano
The 4th Lifelong Learning Workshop at ICML 2020, 2020
2020
UNCLEAR: A Straightforward Method for Continual Reinforcement Learning
S Kessler, J Parker-Holder, P Ball, S Zohren, SJ Roberts
ICML Workshop on Continual Learning, 2020
2020
Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian
J Parker-Holder, L Metz, C Resnick, H Hu, A Lerer, A Letcher, ...
Advances in Neural Information Processing Systems 33, 2020
2020
Compressing Deep Neural Networks: A New Hashing Pipeline Using Kac's Random Walk Matrices
J Parker-Holder, S Gass
arXiv preprint arXiv:1801.02764, 2018
2018
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Articles 1–14