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paul rolland
paul rolland
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Title
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Cited by
Year
Lipschitz constant estimation of neural networks via sparse polynomial optimization
F Latorre, P Rolland, V Cevher
arXiv preprint arXiv:2004.08688, 2020
1342020
High-dimensional Bayesian optimization via additive models with overlapping groups
P Rolland, J Scarlett, I Bogunovic, V Cevher
International conference on artificial intelligence and statistics, 298-307, 2018
1202018
Mirrored langevin dynamics
YP Hsieh, A Kavis, P Rolland, V Cevher
Advances in Neural Information Processing Systems 31, 2018
922018
Score matching enables causal discovery of nonlinear additive noise models
P Rolland, V Cevher, M Kleindessner, C Russell, D Janzing, B Schölkopf, ...
International Conference on Machine Learning, 18741-18753, 2022
642022
Robust reinforcement learning via adversarial training with langevin dynamics
P Kamalaruban, YT Huang, YP Hsieh, P Rolland, C Shi, V Cevher
Advances in Neural Information Processing Systems 33, 8127-8138, 2020
622020
Identifiability and generalizability from multiple experts in inverse reinforcement learning
P Rolland, L Viano, N Schürhoff, B Nikolov, V Cevher
Advances in Neural Information Processing Systems 35, 550-564, 2022
112022
The effect of the intrinsic dimension on the generalization of quadratic classifiers
F Latorre, LT Dadi, P Rolland, V Cevher
Advances in Neural Information Processing Systems 34, 21138-21149, 2021
102021
Double-loop unadjusted langevin algorithm
P Rolland, A Eftekhari, A Kavis, V Cevher
International Conference on Machine Learning, 8169-8177, 2020
62020
Efficient proximal mapping of the 1-path-norm of shallow networks
F Latorre, P Rolland, N Hallak, V Cevher
International Conference on Machine Learning, 5651-5661, 2020
42020
Predicting in uncertain environments: methods for robust machine learning
PTY Rolland
EPFL, 2022
22022
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
22019
Robust Reinforcement Learning via Adversarial training with Langevin Dynamics
K Parameswaran, YT Huang, YP Hsieh, PTY Rolland, C Shi, V Cevher
34th Conference on Neural Information Processing Systems (NeurIPS 2020), 2020
12020
Robust Reinforcement Learning via Adversarial Training with Langevin Dynamics
H Yu-Ting, P Kamalaruban, P Rolland, YP Hsieh, V Cevher
12019
1-Path-Norm Regularization of Deep Neural Networks
F Latorre, A Bonnet, P Rolland, N Hallak, V Cevher
LatinX in AI Workshop at ICML 2023 (Regular Deadline), 2023
2023
Supplementary Materials for Mirrored Langevin Dynamics
YP Hsieh, A Kavis, P Rolland, V Cevher
Linear Convergence of SGD on Overparametrized Shallow Neural Networks
P Rolland, A Ramezani-Kebrya, CH Song, F Latorre, V Cevher
Group ID U12179
A Alacaoglu, K Antonakopoulos, C Aprile, A Asaei, B Bah, L Baldassarre, ...
Estimating the Lipschitz constant of Neural Networks with Polynomial Optimization methods
F Latorre, P Rolland, V Cevher
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