conftrace_

numerical integration

40 papers

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Co-occurring keywords

bayesian quadrature (29) gaussian process (1200) ordinary differential equation (139) markov chain monte carlo (725) uncertainty quantification (1393) kernel quadrature (7) stochastic process (388) reproducing kernel hilbert space (334) bayesian inference (1907) kernel methods (1097)

Papers

Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling JMLR 2025
FNIN: A Fourier Neural Operator-based Numerical Integration Network for Surface-from-gradients AAAI 2025
The Impact of Integration Step on Integrated Gradients EACL 2024
Probabilistic ODE solvers for integration error-aware numerical optimal control L4DC 2024
Fast Fourier Bayesian Quadrature AISTATS 2024
Kernel Quadrature with Randomly Pivoted Cholesky NIPS 2023
Generalized Bayesian quadrature with spectral kernels UAI 2022
Positively Weighted Kernel Quadrature via Subsampling NIPS 2022
On Numerical Integration in Neural Ordinary Differential Equations ICML 2022
Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks ICML 2022
Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEs IJCAI 2022
Estimation of Spectral Risk Measures AAAI 2021
Bayesian Quadrature on Riemannian Data Manifolds ICML 2021
AutoInt: Automatic Integration for Fast Neural Volume Rendering CVPR 2021
Revisiting the Role of Euler Numerical Integration on Acceleration and Stability in Convex Optimization AISTATS 2021
An analysis of Ermakov-Zolotukhin quadrature using kernels NIPS 2021
Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model AISTATS 2021
A Locally Adaptive Bayesian Cubature Method AISTATS 2020
On the Ergodicity, Bias and Asymptotic Normality of Randomized Midpoint Sampling Method NIPS 2020
Analog Accelerator for Simulation and Diagnostics AAAI 2020
Bayesian Probabilistic Numerical Integration with Tree-Based Models NIPS 2020
Training Generative Adversarial Networks by Solving Ordinary Differential Equations NIPS 2020
Subgroup-based Rank-1 Lattice Quasi-Monte Carlo NIPS 2020
Convergence Guarantees for Adaptive Bayesian Quadrature Methods NIPS 2019
Quadrature-based features for kernel approximation NIPS 2018