| Lipschitz constant estimation of neural networks via sparse polynomial optimization F Latorre, P Rolland, V Cevher arXiv preprint arXiv:2004.08688, 2020 | 151 | 2020 |
| 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 | 137 | 2018 |
| Mirrored langevin dynamics YP Hsieh, A Kavis, P Rolland, V Cevher Advances in Neural Information Processing Systems 31, 2018 | 105 | 2018 |
| 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 | 95 | 2022 |
| 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 | 70 | 2020 |
| 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 | 16 | 2022 |
| 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 | 9 | 2021 |
| Double-loop unadjusted langevin algorithm P Rolland, A Eftekhari, A Kavis, V Cevher International Conference on Machine Learning, 8169-8177, 2020 | 5 | 2020 |
| 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 | 4 | 2020 |
| Predicting in uncertain environments: methods for robust machine learning PTY Rolland EPFL, 2022 | 3 | 2022 |
| 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 | 3 | 2019 |
| 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 | 1 | 2023 |
| 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 | 1 | 2020 |
| Robust Reinforcement Learning via Adversarial Training with Langevin Dynamics H Yu-Ting, P Kamalaruban, P Rolland, YP Hsieh, V Cevher | 1 | 2019 |
| Linear Convergence of SGD on Overparametrized Shallow Neural Networks P Rolland, A Ramezani-Kebrya, CH Song, F Latorre, V Cevher | 1 | |
| Supplementary Materials for Mirrored Langevin Dynamics YP Hsieh, A Kavis, P Rolland, V Cevher | | |
| Estimating the Lipschitz constant of Neural Networks with Polynomial Optimization methods F Latorre, P Rolland, V Cevher | | |
Volkan CevherAssociate Professor, LIONS, EPFL. Amazon Scholar (AGI Foundations).Bestätigte E-Mail-Adresse bei epfl.ch
