Mona Meister - RankMe

13 papers A* 2A 4Journal 6Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Safe Active Learning for Time-Series Modeling with Gaussian Processes. CoRR Christoph Zimmer, Mona Meister, Duy Nguyen-Tuong
2023	A	`conf`	Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels. UAI Matthias Bitzer, Mona Meister, Christoph Zimmer
2023	J	`jnl`	Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels. CoRR Matthias Bitzer, Mona Meister, Christoph Zimmer
2023	A	`conf`	Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems. AISTATS Matthias Bitzer, Mona Meister, Christoph Zimmer
2023	J	`jnl`	Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems. CoRR Matthias Bitzer, Mona Meister, Christoph Zimmer
2022	A*	`conf`	Structural Kernel Search via Bayesian Optimization and Symbolical Optimal Transport. NeurIPS Matthias Bitzer, Mona Meister, Christoph Zimmer
2022	J	`jnl`	Structural Kernel Search via Bayesian Optimization and Symbolical Optimal Transport. CoRR Matthias Bitzer, Mona Meister, Christoph Zimmer
2020	A	`conf`	Adaptive Discretization for Evaluation of Probabilistic Cost Functions. AISTATS Christoph Zimmer, Danny Driess, Mona Meister, Duy Nguyen-Tuong
2019	—	`conf`	Safe Active Learning for Time-Series Modeling with Gaussian Processes. GI-Jahrestagung Christoph Zimmer, Mona Meister, Duy Nguyen-Tuong
2018	A*	`conf`	Safe Active Learning for Time-Series Modeling with Gaussian Processes. NeurIPS Christoph Zimmer, Mona Meister, Duy Nguyen-Tuong
2017	A	`conf`	Spatial Decompositions for Large Scale SVMs. AISTATS Philipp Thomann, Ingrid Blaschzyk, Mona Meister, Ingo Steinwart
2016	J	`jnl`	Optimal Learning Rates for Localized SVMs. J. Mach. Learn. Res. Mona Meister, Ingo Steinwart
2016	J	`jnl`	Spatial Decompositions for Large Scale SVMs. CoRR Philipp Thomann, Ingo Steinwart, Ingrid Blaschzyk, Mona Meister