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Numerical Analysis

349 papers

Papers per year

2
19
32
12
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Papers

Nearly Optimal Approximation of Matrix Functions by the Lanczos Method NIPS 2024
Complexity of Neural Network Training and ETR: Extensions with Effectively Continuous Functions AAAI 2024
Sketched Newton Value Iteration for Large-Scale Markov Decision Processes AAAI 2024
Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates AAAI 2024
Efficient Learning of PDEs via Taylor Expansion and Sparse Decomposition into Value and Fourier Domains AAAI 2024
SHoP: A Deep Learning Framework for Solving High-Order Partial Differential Equations AAAI 2024
The Galerkin method beats Graph-Based Approaches for Spectral Algorithms AISTATS 2024
On the Nyström Approximation for Preconditioning in Kernel Machines AISTATS 2024
Fast and Accurate Estimation of Low-Rank Matrices from Noisy Measurements via Preconditioned Non-Convex Gradient Descent AISTATS 2024
Asynchronous Randomized Trace Estimation AISTATS 2024
Fast Fourier Bayesian Quadrature AISTATS 2024
Grounding and Enhancing Grid-based Models for Neural Fields CVPR 2024
PDENNEval: A Comprehensive Evaluation of Neural Network Methods for Solving PDEs IJCAI 2024
Lower Complexity Bounds of Finite-Sum Optimization Problems: The Results and Construction JMLR 2024
A projected semismooth Newton method for a class of nonconvex composite programs with strong prox-regularity JMLR 2024
A PDE-based Explanation of Extreme Numerical Sensitivities and Edge of Stability in Training Neural Networks JMLR 2024
A Statistical Experimental Design Method for Constructing Deterministic Sensing Matrices for Compressed Sensing JMLR 2024
Correction to "Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations" JMLR 2024
On the convergence of adaptive first order methods: Proximal gradient and alternating minimization algorithms L4DC 2024
Near Optimal Reconstruction of Spherical Harmonic Expansions NIPS 2023
Continuous-time Analysis of Anchor Acceleration NIPS 2023
Geometry-Informed Neural Operator for Large-Scale 3D PDEs NIPS 2023
Computing Approximate $\ell_p$ Sensitivities NIPS 2023
Probabilistic Exponential Integrators NIPS 2023
CoLA: Exploiting Compositional Structure for Automatic and Efficient Numerical Linear Algebra NIPS 2023