Paul Rolland - RankMe

19 papers A* 9A 1Journal 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning to Build: Autonomous Robotic Assembly of Stable Structures Without Predefined Plans. CoRR Jingwen Wang, Johannes Kirschner, Paul Rolland, Luis Salamanca, Stefana Parascho
2022	A*	`conf`	Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning. NeurIPS Paul Rolland, Luca Viano, Norman Schürhoff, Boris Nikolov, Volkan Cevher
2022	J	`jnl`	Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning. CoRR Paul Rolland, Luca Viano, Norman Schürhoff, Boris Nikolov, Volkan Cevher
2022	A*	`conf`	Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models. ICML Paul Rolland, Volkan Cevher, Matthäus Kleindessner, Chris Russell, Dominik Janzing, Bernhard Schölkopf, Francesco Locatello
2022	J	`jnl`	Score matching enables causal discovery of nonlinear additive noise models. CoRR Paul Rolland, Volkan Cevher, Matthäus Kleindessner, Chris Russell, Bernhard Schölkopf, Dominik Janzing, Francesco Locatello
2021	A*	`conf`	The Effect of the Intrinsic Dimension on the Generalization of Quadratic Classifiers. NeurIPS Fabian Latorre, Leello Tadesse Dadi, Paul Rolland, Volkan Cevher
2020	A*	`conf`	Double-Loop Unadjusted Langevin Algorithm. ICML Paul Rolland, Armin Eftekhari, Ali Kavis, Volkan Cevher
2020	J	`jnl`	Double-Loop Unadjusted Langevin Algorithm. CoRR Paul Rolland, Armin Eftekhari, Ali Kavis, Volkan Cevher
2020	A*	`conf`	Efficient Proximal Mapping of the 1-path-norm of Shallow Networks. ICML Fabian Latorre, Paul Rolland, Nadav Hallak, Volkan Cevher
2020	J	`jnl`	Efficient Proximal Mapping of the 1-path-norm of Shallow Networks. CoRR Fabian Latorre, Paul Rolland, Nadav Hallak, Volkan Cevher
2020	A*	`conf`	Lipschitz constant estimation of Neural Networks via sparse polynomial optimization. ICLR Fabian Latorre, Paul Rolland, Volkan Cevher
2020	J	`jnl`	Lipschitz constant estimation of Neural Networks via sparse polynomial optimization. CoRR Fabian Latorre, Paul Rolland, Volkan Cevher
2020	A*	`conf`	Robust Reinforcement Learning via Adversarial training with Langevin Dynamics. NeurIPS Parameswaran Kamalaruban, Yu-Ting Huang, Ya-Ping Hsieh, Paul Rolland, Cheng Shi, Volkan Cevher
2020	J	`jnl`	Robust Reinforcement Learning via Adversarial training with Langevin Dynamics. CoRR Parameswaran Kamalaruban, Yu-Ting Huang, Ya-Ping Hsieh, Paul Rolland, Cheng Shi, Volkan Cevher
2019	A*	`conf`	Efficient learning of smooth probability functions from Bernoulli tests with guarantees. ICML Paul Rolland, Ali Kavis, Alexander Immer, Adish Singla, Volkan Cevher
2018	J	`jnl`	Efficient learning of smooth probability functions from Bernoulli tests with guarantees. CoRR Paul Rolland, Ali Kavis, Adish Singla, Volkan Cevher
2018	A	`conf`	High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups. AISTATS Paul Rolland, Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher
2018	J	`jnl`	High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups. CoRR Paul Rolland, Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher
2018	A*	`conf`	Mirrored Langevin Dynamics. NeurIPS Ya-Ping Hsieh, Ali Kavis, Paul Rolland, Volkan Cevher