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ORCIDPaul Rolland
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2020 – today
- 2022
[c10]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: 18741-18753- [c9]Paul Rolland, Luca Viano, Norman Schürhoff, Boris Nikolov, Volkan Cevher:
Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning. NeurIPS 2022 - [i8]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 abs/2203.04413 (2022) - [i7]Paul Rolland, Luca Viano, Norman Schürhoff, Boris Nikolov, Volkan Cevher:
Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning. CoRR abs/2209.10974 (2022) - 2021
- [c8]Fabian Latorre, Leello Tadesse Dadi, Paul Rolland, Volkan Cevher:
The Effect of the Intrinsic Dimension on the Generalization of Quadratic Classifiers. NeurIPS 2021: 21138-21149 - 2020
- [c7]Fabian Latorre, Paul Rolland, Volkan Cevher:
Lipschitz constant estimation of Neural Networks via sparse polynomial optimization. ICLR 2020 - [c6]Fabian Latorre, Paul Rolland, Nadav Hallak, Volkan Cevher:
Efficient Proximal Mapping of the 1-path-norm of Shallow Networks. ICML 2020: 5651-5661 - [c5]Paul Rolland, Armin Eftekhari, Ali Kavis, Volkan Cevher:
Double-Loop Unadjusted Langevin Algorithm. ICML 2020: 8169-8177 - [c4]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 - [i6]Parameswaran Kamalaruban, Yu-Ting Huang, Ya-Ping Hsieh, Paul Rolland, Cheng Shi, Volkan Cevher:
Robust Reinforcement Learning via Adversarial training with Langevin Dynamics. CoRR abs/2002.06063 (2020) - [i5]Fabian Latorre, Paul Rolland, Volkan Cevher:
Lipschitz constant estimation of Neural Networks via sparse polynomial optimization. CoRR abs/2004.08688 (2020) - [i4]Fabian Latorre, Paul Rolland, Nadav Hallak, Volkan Cevher:
Efficient Proximal Mapping of the 1-path-norm of Shallow Networks. CoRR abs/2007.01003 (2020) - [i3]Paul Rolland, Armin Eftekhari, Ali Kavis, Volkan Cevher:
Double-Loop Unadjusted Langevin Algorithm. CoRR abs/2007.01147 (2020)
2010 – 2019
- 2019
- [c3]Paul Rolland, Ali Kavis, Alexander Immer, Adish Singla, Volkan Cevher:
Efficient learning of smooth probability functions from Bernoulli tests with guarantees. ICML 2019: 5459-5467 - 2018
- [c2]Paul Rolland, Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher:
High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups. AISTATS 2018: 298-307 - [c1]Ya-Ping Hsieh, Ali Kavis, Paul Rolland, Volkan Cevher:
Mirrored Langevin Dynamics. NeurIPS 2018: 2883-2892 - [i2]Paul Rolland, Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher:
High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups. CoRR abs/1802.07028 (2018) - [i1]Paul Rolland, Ali Kavis, Adish Singla, Volkan Cevher:
Efficient learning of smooth probability functions from Bernoulli tests with guarantees. CoRR abs/1812.04428 (2018)
Coauthor Index
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