Harald Oberhauser
12 papers · 2019–2025 · 5 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (27)
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Century Club · Bronze
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Unstoppable · Bronze
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Research topics
Machine Learning
(9)
Core Methods
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Mathematics & Optimization
(6)
Mathematics
(6)
Optimization & Theory
(4)
Bayesian & Probabilistic · Machine Learning
(3)
Optimization
(3)
Data Science & Analytics
(2)
Deep Learning
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(2)
Artificial Intelligence
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Computer Science
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Bayesian & Probabilistic · Artificial Intelligence
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Keywords
kernel methods
(4)
sequential data
(3)
signature kernel
(3)
gaussian process
(2)
maximum mean discrepancy
(2)
variational inference
(2)
kernel quadrature
(2)
tensor decomposition
(1)
random walk
(1)
statistical learning theory
(1)
hypothesis testing
(1)
dynamic programming
(1)
time series forecasting
(1)
sparse approximation
(1)
spectral analysis
(1)
bayesian inference
(1)
stochastic process
(1)
low-rank approximation
(1)
singular value decomposition
(1)
hilbert-schmidt independence criterion
(1)
Papers
Learning to Forget: Bayesian Time Series Forecasting using Recurrent Sparse Spectrum Signature Gaussian Processes
AISTATS 2025
Adaptive Batch Sizes for Active Learning: A Probabilistic Numerics Approach
AISTATS 2024
Kernelized Cumulants: Beyond Kernel Mean Embeddings
NeurIPS 2023
Sampling-based Nyström Approximation and Kernel Quadrature
ICML 2023
Capturing Graphs with Hypo-Elliptic Diffusions
NeurIPS 2022
Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination
NeurIPS 2022
Positively Weighted Kernel Quadrature via Subsampling
NeurIPS 2022
Signature Moments to Characterize Laws of Stochastic Processes
JMLR 2022
Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections
ICLR 2021
A Randomized Algorithm to Reduce the Support of Discrete Measures
NeurIPS 2020
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
ICML 2020
Kernels for Sequentially Ordered Data
JMLR 2019