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Numerical Analysis

294 directly classified papers

Papers per year

Papers

Complex-to-Real Sketches for Tensor Products with Applications to the Polynomial Kernel AISTATS 2023
On the Accelerated Noise-Tolerant Power Method AISTATS 2023
Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients ICML 2023
A Fast Adaptive Randomized PCA Algorithm IJCAI 2023
Continuous-time Analysis of Anchor Acceleration NIPS 2023
Online Stochastic Gradient Descent with Arbitrary Initialization Solves Non-smooth, Non-convex Phase Retrieval JMLR 2023
Sampling-based Nyström Approximation and Kernel Quadrature ICML 2023
Block Broyden's Methods for Solving Nonlinear Equations NIPS 2023
Tensor Compressive Sensing Fused Low-Rankness and Local-Smoothness AAAI 2023
Deep Latent Regularity Network for Modeling Stochastic Partial Differential Equations AAAI 2023
DMIS: Dynamic Mesh-Based Importance Sampling for Training Physics-Informed Neural Networks AAAI 2023
Implicit Neural Spatial Representations for Time-dependent PDEs ICML 2023
Unifying Nesterov’s Accelerated Gradient Methods for Convex and Strongly Convex Objective Functions ICML 2023
Power Bundle Adjustment for Large-Scale 3D Reconstruction CVPR 2023
Distributed Bundle Adjustment with Block-Based Sparse Matrix Compression for Super Large Scale Datasets ICCV 2023
Tensor Decompositions Meet Control Theory: Learning General Mixtures of Linear Dynamical Systems ICML 2023
Transform Once: Efficient Operator Learning in Frequency Domain NIPS 2022
A Fast Scale-Invariant Algorithm for Non-negative Least Squares with Non-negative Data NIPS 2022
Subquadratic Kronecker Regression with Applications to Tensor Decomposition NIPS 2022
Iterative Double Sketching for Faster Least-Squares Optimization ICML 2022
Provable Acceleration of Heavy Ball beyond Quadratics for a Class of Polyak-Lojasiewicz Functions when the Non-Convexity is Averaged-Out ICML 2022
Positively Weighted Kernel Quadrature via Subsampling NIPS 2022
Probabilistic ODE Solutions in Millions of Dimensions ICML 2022
Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra ICML 2022
Pick-and-Mix Information Operators for Probabilistic ODE Solvers AISTATS 2022