Mona Meister
7 papers · 2016–2023 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (4) π Academic Marathon (7)
π
Cross-Pollinator
(15)
πΊοΈ
Taxonomy Completionist
(18)
Conferences
AISTATS (3)
NIPS (2)
JMLR (1)
UAI (1)
Top co-authors
Keywords
kernel methods
(4)
gaussian process
(4)
oracle inequality
(2)
support vector machine
(2)
active learning
(2)
local learning
(1)
hyperparameter optimization
(1)
gradient-based optimization
(1)
sequential decision making
(1)
optimal transport
(1)
minimax optimality
(1)
kernel learning
(1)
gradient-based method
(1)
large scale learning
(1)
time series modeling
(1)
adaptive discretization
(1)
gaussian kernel
(1)
kernel ridge regression
(1)
bayesian optimization
(1)
robot manipulation
(1)
Papers
Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems
AISTATS 2023
Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels
UAI 2023
Structural Kernel Search via Bayesian Optimization and Symbolical Optimal Transport
NIPS 2022
Adaptive Discretization for Evaluation of Probabilistic Cost Functions
AISTATS 2020
Safe Active Learning for Time-Series Modeling with Gaussian Processes
NIPS 2018
Spatial Decompositions for Large Scale SVMs
AISTATS 2017
Optimal Learning Rates for Localized SVMs
JMLR 2016