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Numerical Analysis

349 papers

Papers per year

2
19
32
12
'10
'15
'20
'25

Papers

Do Subsampled Newton Methods Work for High-Dimensional Data? AAAI 2020
Analog Accelerator for Simulation and Diagnostics AAAI 2020
A Locally Adaptive Bayesian Cubature Method AISTATS 2020
Computing Tight Differential Privacy Guarantees Using FFT AISTATS 2020
Optimal Deterministic Coresets for Ridge Regression AISTATS 2020
Nearly Non-Expansive Bounds for Mahalanobis Hard Thresholding COLT 2020
Fast MSER CVPR 2020
Kernel interpolation with continuous volume sampling ICML 2020
Adaptive Sketching for Fast and Convergent Canonical Polyadic Decomposition ICML 2020
Polynomial Tensor Sketch for Element-wise Function of Low-Rank Matrix ICML 2020
Learning Similarity Metrics for Numerical Simulations ICML 2020
Error Estimation for Sketched SVD via the Bootstrap ICML 2020
Learning Algebraic Multigrid Using Graph Neural Networks ICML 2020
Near Input Sparsity Time Kernel Embeddings via Adaptive Sampling ICML 2020
Amortized Finite Element Analysis for Fast PDE-Constrained Optimization ICML 2020
Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization IJCAI 2020
Nesterov's Acceleration for Approximate Newton JMLR 2020
Learning-Based Low-Rank Approximations NIPS 2019
Convergence Guarantees for Adaptive Bayesian Quadrature Methods NIPS 2019
Gradient Dynamics of Shallow Univariate ReLU Networks NIPS 2019
Convergence-Rate-Matching Discretization of Accelerated Optimization Flows Through Opportunistic State-Triggered Control NIPS 2019
Principal Component Projection and Regression in Nearly Linear Time through Asymmetric SVRG NIPS 2019
Efficient Symmetric Norm Regression via Linear Sketching NIPS 2019
Shadowing Properties of Optimization Algorithms NIPS 2019
Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm NIPS 2019