Rolland, Paul

11 publications

ICMLW 2023 1-Path-Norm Regularization of Deep Neural Networks Fabian Latorre, Antoine Bonnet, Paul Rolland, Nadav Hallak, Volkan Cevher

NeurIPS 2022 Identifiability and Generalizability from Multiple Experts in Inverse Reinforcement Learning Paul Rolland, Luca Viano, Norman Schürhoff, Boris Nikolov, Volkan Cevher

ICML 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

NeurIPS 2021 The Effect of the Intrinsic Dimension on the Generalization of Quadratic Classifiers Fabian Latorre, Leello Tadesse Dadi, Paul Rolland, Volkan Cevher

ICML 2020 Double-Loop Unadjusted Langevin Algorithm Paul Rolland, Armin Eftekhari, Ali Kavis, Volkan Cevher

ICML 2020 Efficient Proximal Mapping of the 1-Path-Norm of Shallow Networks Fabian Latorre, Paul Rolland, Nadav Hallak, Volkan Cevher

ICLR 2020 Lipschitz Constant Estimation of Neural Networks via Sparse Polynomial Optimization Fabian Latorre, Paul Rolland, Volkan Cevher

NeurIPS 2020 Robust Reinforcement Learning via Adversarial Training with Langevin Dynamics Parameswaran Kamalaruban, Yu-Ting Huang, Ya-Ping Hsieh, Paul Rolland, Cheng Shi, Volkan Cevher

ICML 2019 Efficient Learning of Smooth Probability Functions from Bernoulli Tests with Guarantees Paul Rolland, Ali Kavis, Alexander Immer, Adish Singla, Volkan Cevher

AISTATS 2018 High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups Paul Rolland, Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher

NeurIPS 2018 Mirrored Langevin Dynamics Ya-Ping Hsieh, Ali Kavis, Paul Rolland, Volkan Cevher