Harald Oberhauser
12 papers · 2019–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (5) π Cross-Pollinator (15)
π
Conference Polyglot
(5)
π
Academic Marathon
(6)
π
Cross-Pollinator
(15)
π
Keyword Champion
(2)
π₯
Unstoppable
(7)
π
Century Club
(12)
Conferences
NIPS (5)
AISTATS (2)
ICML (2)
JMLR (2)
ICLR (1)
Top co-authors
Research topics
Keywords
kernel methods
(4)
maximum mean discrepancy
(2)
sequential datum
(2)
signature kernel
(2)
kernel quadrature
(2)
tensor decomposition
(1)
statistical learning theory
(1)
variational inference
(1)
hypothesis testing
(1)
gaussian process
(1)
random walk
(1)
dynamic programming
(1)
sparse approximation
(1)
hilbert-schmidt independence criterion
(1)
bayesian inference
(1)
spectral analysis
(1)
low-rank approximation
(1)
stochastic process
(1)
bayesian optimization
(1)
singular value decomposition
(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
NIPS 2023
Sampling-based NystrΓΆm Approximation and Kernel Quadrature
ICML 2023
Signature Moments to Characterize Laws of Stochastic Processes
JMLR 2022
Positively Weighted Kernel Quadrature via Subsampling
NIPS 2022
Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination
NIPS 2022
Capturing Graphs with Hypo-Elliptic Diffusions
NIPS 2022
Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections
ICLR 2021
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
ICML 2020
A Randomized Algorithm to Reduce the Support of Discrete Measures
NIPS 2020
Kernels for Sequentially Ordered Data
JMLR 2019