paul rolland
paul rolland
Verified email at epfl.ch
Title
Cited by
Cited by
Year
High-dimensional Bayesian optimization via additive models with overlapping groups
P Rolland, J Scarlett, I Bogunovic, V Cevher
arXiv preprint arXiv:1802.07028, 2018
272018
Mirrored langevin dynamics
YP Hsieh, A Kavis, P Rolland, V Cevher
Advances in Neural Information Processing Systems, 2878-2887, 2018
182018
Lipschitz constant estimation of neural networks via sparse polynomial optimization
F Latorre, P Rolland, V Cevher
arXiv preprint arXiv:2004.08688, 2020
82020
Robust Reinforcement Learning via Adversarial training with Langevin Dynamics
P Kamalaruban, YT Huang, YP Hsieh, P Rolland, C Shi, V Cevher
arXiv preprint arXiv:2002.06063, 2020
12020
Efficient Proximal Mapping of the 1-path-norm of Shallow Networks
F Latorre, P Rolland, N Hallak, V Cevher
arXiv preprint arXiv:2007.01003, 2020
2020
Double-Loop Unadjusted Langevin Algorithm
P Rolland, A Eftekhari, A Kavis, V Cevher
arXiv preprint arXiv:2007.01147, 2020
2020
Robust Reinforcement Learning via Adversarial training with Langevin Dynamics
K Parameswaran, YT Huang, YP Hsieh, PTY Rolland, C Shi, V Cevher
2020
Robust Reinforcement Learning via Adversarial Training with Langevin Dynamics
H Yu-Ting, P Kamalaruban, P Rolland, YP Hsieh, V Cevher
2019
Efficient learning of smooth probability functions from Bernoulli tests with guarantees
P Rolland, A Kavis, A Immer, A Singla, V Cevher
International Conference on Machine Learning, 5459-5467, 2019
2019
Estimating the Lipschitz constant of Neural Networks with Polynomial Optimization methods
F Latorre, P Rolland, V Cevher
Supplementary Materials for Mirrored Langevin Dynamics
YP Hsieh, A Kavis, P Rolland, V Cevher
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