Paul Rolland

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 18

Top Topics

Causal Discovery

Probability Function

Intrinsic Dimension

Additive Models

Top Venues

Publications

Paul Rolland, Luca Viano, Norman Schuerhoff, Boris Nikolov, Volkan Cevher
Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning. CoRR (2022)
Paul Rolland, Volkan Cevher, Matthäus Kleindessner, Chris Russell, Dominik Janzing, Bernhard Schölkopf, Francesco Locatello
Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models. ICML (2022)
Paul Rolland, Volkan Cevher, Matthäus Kleindessner, Chris Russell, Bernhard Schölkopf, Dominik Janzing, Francesco Locatello
Score matching enables causal discovery of nonlinear additive noise models. CoRR (2022)
Paul Rolland, Luca Viano, Norman Schürhoff, Boris Nikolov, Volkan Cevher
Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning. NeurIPS (2022)
Fabian Latorre, Leello Tadesse Dadi, Paul Rolland, Volkan Cevher
The Effect of the Intrinsic Dimension on the Generalization of Quadratic Classifiers. NeurIPS (2021)
Paul Rolland, Armin Eftekhari, Ali Kavis, Volkan Cevher
Double-Loop Unadjusted Langevin Algorithm. CoRR (2020)
Fabian Latorre Gómez, Paul Rolland, Volkan Cevher
Lipschitz constant estimation of Neural Networks via sparse polynomial optimization. CoRR (2020)
Fabian Latorre Gómez, Paul Rolland, Nadav Hallak, Volkan Cevher
Efficient Proximal Mapping of the 1-path-norm of Shallow Networks. ICML (2020)
Fabian Latorre Gómez, Paul Rolland, Volkan Cevher
Lipschitz constant estimation of Neural Networks via sparse polynomial optimization. ICLR (2020)
Fabian Latorre Gómez, Paul Rolland, Nadav Hallak, Volkan Cevher
Efficient Proximal Mapping of the 1-path-norm of Shallow Networks. CoRR (2020)
Parameswaran Kamalaruban, Yu-Ting Huang, Ya-Ping Hsieh, Paul Rolland, Cheng Shi, Volkan Cevher
Robust Reinforcement Learning via Adversarial training with Langevin Dynamics. CoRR (2020)
Parameswaran Kamalaruban, Yu-Ting Huang, Ya-Ping Hsieh, Paul Rolland, Cheng Shi, Volkan Cevher
Robust Reinforcement Learning via Adversarial training with Langevin Dynamics. NeurIPS (2020)
Paul Rolland, Armin Eftekhari, Ali Kavis, Volkan Cevher
Double-Loop Unadjusted Langevin Algorithm. ICML (2020)
Paul Rolland, Ali Kavis, Alexander Immer, Adish Singla, Volkan Cevher
Efficient learning of smooth probability functions from Bernoulli tests with guarantees. ICML (2019)
Ya-Ping Hsieh, Ali Kavis, Paul Rolland, Volkan Cevher
Mirrored Langevin Dynamics. NeurIPS (2018)
Paul Rolland, Ali Kavis, Adish Singla, Volkan Cevher
Efficient learning of smooth probability functions from Bernoulli tests with guarantees. CoRR (2018)
Paul Rolland, Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher
High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups. CoRR (2018)
Paul Rolland, Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher
High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups. AISTATS (2018)