Mona Meister
7 papers · 2016–2023 · 4 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (16) π£ Hot Topic Early Bird
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Venues
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Research topics
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)
large-scale learning
(1)
gradient-based method
(1)
time series modeling
(1)
adaptive discretization
(1)
gaussian kernel
(1)
kernel ridge regression
(1)
bayesian optimization
(1)
robot manipulation
(1)
Papers
Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels
UAI 2023
Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems
AISTATS 2023
Structural Kernel Search via Bayesian Optimization and Symbolical Optimal Transport
NeurIPS 2022
Adaptive Discretization for Evaluation of Probabilistic Cost Functions
AISTATS 2020
Safe Active Learning for Time-Series Modeling with Gaussian Processes
NeurIPS 2018
Spatial Decompositions for Large Scale SVMs
AISTATS 2017
Optimal Learning Rates for Localized SVMs
JMLR 2016