Harald Oberhauser

47 papers A* 8A 2Journal 37

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A User's Guide to KSig: GPU-Accelerated Computation of the Signature Kernel. CoRR Csaba Tóth, Danilo Jr Dela Cruz, Harald Oberhauser
2025	J	`jnl`	A topological approach to mapping space signatures. Adv. Appl. Math. Chad Giusti, Darrick Lee, Vidit Nanda, Harald Oberhauser
2025	J	`jnl`	Generalized Time Series Classification via Component Decomposition and Alignment. IEEE Trans. Big Data Yichuan Cheng, Darrick Lee, Harald Oberhauser, Haoliang Li
2025	J	`jnl`	HADES: Fast Singularity Detection with Local Measure Comparison. SIAM J. Math. Data Sci. Uzu Lim, Harald Oberhauser, Vidit Nanda
2025	A	`conf`	Learning to Forget: Bayesian Time Series Forecasting using Recurrent Sparse Spectrum Signature Gaussian Processes. AISTATS Csaba Tóth, Masaki Adachi, Michael A. Osborne, Harald Oberhauser
2025	J	`jnl`	Random Fourier Signature Features. SIAM J. Math. Data Sci. Csaba Tóth, Harald Oberhauser, Zoltán Szabó
2024	J	`jnl`	A Quadrature Approach for General-Purpose Batch Bayesian Optimization via Probabilistic Lifting. CoRR Masaki Adachi, Satoshi Hayakawa, Martin Jørgensen, Saad Hamid, Harald Oberhauser, Michael A. Osborne
2024	A	`conf`	Adaptive Batch Sizes for Active Learning: A Probabilistic Numerics Approach. AISTATS Masaki Adachi, Satoshi Hayakawa, Martin Jørgensen, Xingchen Wan, Vu Nguyen, Harald Oberhauser, Michael A. Osborne
2024	J	`jnl`	Learning to Forget: Bayesian Time Series Forecasting using Recurrent Sparse Spectrum Signature Gaussian Processes. CoRR Csaba Tóth, Masaki Adachi, Michael A. Osborne, Harald Oberhauser
2024	J	`jnl`	Tangent Space and Dimension Estimation with the Wasserstein Distance. SIAM J. Appl. Algebra Geom. Uzu Lim, Harald Oberhauser, Vidit Nanda
2023	J	`jnl`	Domain-Agnostic Batch Bayesian Optimization with Diverse Constraints via Bayesian Quadrature. CoRR Masaki Adachi, Satoshi Hayakawa, Xingchen Wan, Martin Jørgensen, Harald Oberhauser, Michael A. Osborne
2023	J	`jnl`	Grid-Free Computation of Probabilistic Safety With Malliavin Calculus. IEEE Trans. Autom. Control. Francesco Cosentino, Harald Oberhauser, Alessandro Abate
2023	J	`jnl`	HADES: Fast Singularity Detection with Local Measure Comparison. CoRR Uzu Lim, Harald Oberhauser, Vidit Nanda
2023	A*	`conf`	Kernelized Cumulants: Beyond Kernel Mean Embeddings. NeurIPS Patric Bonnier, Harald Oberhauser, Zoltán Szabó
2023	J	`jnl`	Kernelized Cumulants: Beyond Kernel Mean Embeddings. CoRR Patric Bonnier, Harald Oberhauser, Zoltán Szabó
2023	J	`jnl`	Random Fourier Signature Features. CoRR Csaba Tóth, Harald Oberhauser, Zoltán Szabó
2023	J	`jnl`	SOBER: Scalable Batch Bayesian Optimization and Quadrature using Recombination Constraints. CoRR Masaki Adachi, Satoshi Hayakawa, Saad Hamid, Martin Jørgensen, Harald Oberhauser, Michael A. Osborne
2023	A*	`conf`	Sampling-based Nyström Approximation and Kernel Quadrature. ICML Satoshi Hayakawa, Harald Oberhauser, Terry J. Lyons
2023	J	`jnl`	Sampling-based Nyström Approximation and Kernel Quadrature. CoRR Satoshi Hayakawa, Harald Oberhauser, Terry J. Lyons
2023	J	`jnl`	The Signature Kernel. CoRR Darrick Lee, Harald Oberhauser
2022	A*	`conf`	Capturing Graphs with Hypo-Elliptic Diffusions. NeurIPS Csaba Tóth, Darrick Lee, Celia Hacker, Harald Oberhauser
2022	J	`jnl`	Capturing Graphs with Hypo-Elliptic Diffusions. CoRR Csaba Tóth, Darrick Lee, Celia Hacker, Harald Oberhauser
2022	A*	`conf`	Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination. NeurIPS Masaki Adachi, Satoshi Hayakawa, Martin Jørgensen, Harald Oberhauser, Michael A. Osborne
2022	J	`jnl`	Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination. CoRR Masaki Adachi, Satoshi Hayakawa, Martin Jørgensen, Harald Oberhauser, Michael A. Osborne
2022	J	`jnl`	Hypercontractivity Meets Random Convex Hulls: Analysis of Randomized Multivariate Cubatures. CoRR Satoshi Hayakawa, Harald Oberhauser, Terry J. Lyons
2022	A*	`conf`	Positively Weighted Kernel Quadrature via Subsampling. NeurIPS Satoshi Hayakawa, Harald Oberhauser, Terry J. Lyons
2022	J	`jnl`	Signature Moments to Characterize Laws of Stochastic Processes. J. Mach. Learn. Res. Ilya Chevyrev, Harald Oberhauser
2021	J	`jnl`	Grid-Free Computation of Probabilistic Safety with Malliavin Calculus. CoRR Francesco Cosentino, Harald Oberhauser, Alessandro Abate
2021	J	`jnl`	Neural SDEs as Infinite-Dimensional GANs. CoRR Patrick Kidger, James Foster, Xuechen Li, Harald Oberhauser, Terry J. Lyons
2021	J	`jnl`	Nonlinear Independent Component Analysis for Continuous-Time Signals. CoRR Harald Oberhauser, Alexander Schell
2021	J	`jnl`	Positively Weighted Kernel Quadrature via Subsampling. CoRR Satoshi Hayakawa, Harald Oberhauser, Terry J. Lyons
2021	A*	`conf`	Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections. ICLR Csaba Tóth, Patric Bonnier, Harald Oberhauser
2021	J	`jnl`	Tangent Space and Dimension Estimation with the Wasserstein Distance. CoRR Uzu Lim, Vidit Nanda, Harald Oberhauser
2021	J	`jnl`	The shifted ODE method for underdamped Langevin MCMC. CoRR James Foster, Terry J. Lyons, Harald Oberhauser
2020	A*	`conf`	A Randomized Algorithm to Reduce the Support of Discrete Measures. NeurIPS Francesco Cosentino, Harald Oberhauser, Alessandro Abate
2020	J	`jnl`	A Randomized Algorithm to Reduce the Support of Discrete Measures. CoRR Francesco Cosentino, Harald Oberhauser, Alessandro Abate
2020	J	`jnl`	Acceleration of Descent-based Optimization Algorithms via Carathéodory's Theorem. CoRR Francesco Cosentino, Harald Oberhauser, Alessandro Abate
2020	J	`jnl`	An Optimal Polynomial Approximation of Brownian Motion. SIAM J. Numer. Anal. James M. Foster, Terry J. Lyons, Harald Oberhauser
2020	A*	`conf`	Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances. ICML Csaba Tóth, Harald Oberhauser
2020	J	`jnl`	Persistence Paths and Signature Features in Topological Data Analysis. IEEE Trans. Pattern Anal. Mach. Intell. Ilya Chevyrev, Vidit Nanda, Harald Oberhauser
2020	J	`jnl`	Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections. CoRR Csaba Tóth, Patric Bonnier, Harald Oberhauser
2019	J	`jnl`	Kernels for Sequentially Ordered Data. J. Mach. Learn. Res. Franz J. Király, Harald Oberhauser
2019	J	`jnl`	Variational Gaussian Processes with Signature Covariances. CoRR Csaba Tóth, Harald Oberhauser
2018	J	`jnl`	Persistence paths and signature features in topological data analysis. CoRR Ilya Chevyrev, Vidit Nanda, Harald Oberhauser
2018	J	`jnl`	Probabilistic supervised learning. CoRR Frithjof Gressmann, Franz J. Király, Bilal A. Mateen, Harald Oberhauser
2017	J	`jnl`	Sketching the order of events. CoRR Terry J. Lyons, Harald Oberhauser
2016	J	`jnl`	Kernels for sequentially ordered data. CoRR Franz J. Király, Harald Oberhauser