Harald Oberhauser

Alessandro Abate

IEEE Trans. Autom. Control., October, 2023

Random Fourier Signature Features.

[BibT_eX]

[DOI]

Zoltán Szabó

CoRR, 2023

HADES: Fast Singularity Detection with Local Measure Comparison.

[BibT_eX]

[DOI]

Uzu Lim

Vidit Nanda

CoRR, 2023

Domain-Agnostic Batch Bayesian Optimization with Diverse Constraints via Bayesian Quadrature.

[BibT_eX]

[DOI]

CoRR, 2023

The Signature Kernel.

[BibT_eX]

[DOI]

Darrick Lee

CoRR, 2023

SOBER: Scalable Batch Bayesian Optimization and Quadrature using Recombination Constraints.

[BibT_eX]

[DOI]

CoRR, 2023

Kernelized Cumulants: Beyond Kernel Mean Embeddings.

[BibT_eX]

[DOI]

Patric Bonnier

Zoltán Szabó

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Sampling-based Nyström Approximation and Kernel Quadrature.

[BibT_eX]

[DOI]

Satoshi Hayakawa

Proceedings of the International Conference on Machine Learning, 2023

2022

Signature Moments to Characterize Laws of Stochastic Processes.

[BibT_eX]

[DOI]

Ilya Chevyrev

J. Mach. Learn. Res., 2022

Hypercontractivity Meets Random Convex Hulls: Analysis of Randomized Multivariate Cubatures.

[BibT_eX]

[DOI]

Satoshi Hayakawa

CoRR, 2022

Capturing Graphs with Hypo-Elliptic Diffusions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Positively Weighted Kernel Quadrature via Subsampling.

[BibT_eX]

[DOI]

Satoshi Hayakawa

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Tangent Space and Dimension Estimation with the Wasserstein Distance.

[BibT_eX]

[DOI]

Uzu Lim

Vidit Nanda

CoRR, 2021

Neural SDEs as Infinite-Dimensional GANs.

[BibT_eX]

[DOI]

CoRR, 2021

Nonlinear Independent Component Analysis for Continuous-Time Signals.

[BibT_eX]

[DOI]

Alexander Schell

CoRR, 2021

The shifted ODE method for underdamped Langevin MCMC.

[BibT_eX]

[DOI]

James Foster

CoRR, 2021

Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections.

[BibT_eX]

[DOI]

Patric Bonnier

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

An Optimal Polynomial Approximation of Brownian Motion.

[BibT_eX]

[DOI]

James Foster

SIAM J. Numer. Anal., 2020

Persistence Paths and Signature Features in Topological Data Analysis.

[BibT_eX]

[DOI]

Ilya Chevyrev

Vidit Nanda

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Acceleration of Descent-based Optimization Algorithms via Carathéodory's Theorem.

[BibT_eX]

[DOI]

Francesco Cosentino

Alessandro Abate

CoRR, 2020

A Randomized Algorithm to Reduce the Support of Discrete Measures.

[BibT_eX]

[DOI]

Francesco Cosentino

Alessandro Abate

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Kernels for Sequentially Ordered Data.

[BibT_eX]

[DOI]

Franz J. Király

J. Mach. Learn. Res., 2019

Variational Gaussian Processes with Signature Covariances.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Probabilistic supervised learning.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Sketching the order of events.

[BibT_eX]

[DOI]