Paul Rolland

According to our database, Paul Rolland authored at least 11 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning.

Paul Rolland, Luca Viano, Norman Schürhoff, Boris Nikolov, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models.

Paul Rolland, Volkan Cevher, Matthäus Kleindessner, Chris Russell, Dominik Janzing, Bernhard Schölkopf, Francesco Locatello

Proceedings of the International Conference on Machine Learning, 2022

2021

The Effect of the Intrinsic Dimension on the Generalization of Quadratic Classifiers.

Fabian Latorre, Leello Tadesse Dadi, Paul Rolland, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Robust Reinforcement Learning via Adversarial training with Langevin Dynamics.

Parameswaran Kamalaruban, Yu-Ting Huang, Ya-Ping Hsieh, Paul Rolland, Cheng Shi, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Double-Loop Unadjusted Langevin Algorithm.

Paul Rolland, Armin Eftekhari, Ali Kavis, Volkan Cevher

Proceedings of the 37th International Conference on Machine Learning, 2020

Efficient Proximal Mapping of the 1-path-norm of Shallow Networks.

Fabian Latorre Gómez, Paul Rolland, Nadav Hallak, Volkan Cevher

Proceedings of the 37th International Conference on Machine Learning, 2020

Lipschitz constant estimation of Neural Networks via sparse polynomial optimization.

Fabian Latorre Gómez, Paul Rolland, Volkan Cevher

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Efficient learning of smooth probability functions from Bernoulli tests with guarantees.

Paul Rolland, Ali Kavis, Alexander Immer, Adish Singla, Volkan Cevher

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Efficient learning of smooth probability functions from Bernoulli tests with guarantees.

Paul Rolland, Ali Kavis, Adish Singla, Volkan Cevher

CoRR, 2018

Mirrored Langevin Dynamics.

Ya-Ping Hsieh, Ali Kavis, Paul Rolland, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups.

Paul Rolland, Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018