Numerical Analysis

Near-Optimal Entrywise Sampling of Numerically Sparse Matrices COLT 2021 Normal Integration via Inverse Plane Fitting With Minimum Point-to-Plane Distance CVPR 2021 Oblivious Sketching for Logistic Regression ICML 2021 On the Riemannian Search for Eigenvector Computation JMLR 2021 Optimal Sketching for Trace Estimation NeurIPS 2021 Parametric Complexity Bounds for Approximating PDEs with Neural Networks NeurIPS 2021 Physics-informed Spline Learning for Nonlinear Dynamics Discovery IJCAI 2021 Practical Large-Scale Linear Programming using Primal-Dual Hybrid Gradient NeurIPS 2021 Rank-one matrix estimation: analytic time evolution of gradient descent dynamics COLT 2021 Reduced-Rank Regression with Operator Norm Error COLT 2021 Revisiting the Role of Euler Numerical Integration on Acceleration and Stability in Convex Optimization AISTATS 2021 Solving high-dimensional parabolic PDEs using the tensor train format ICML 2021 Square Root Bundle Adjustment for Large-Scale Reconstruction CVPR 2021 The LF Model in the Frequency Domain for Glottal Airflow Modelling Without Aliasing Distortion Interspeech 2021 A Continuous-Time Mirror Descent Approach to Sparse Phase Retrieval NeurIPS 2020 Adaptive Sketching for Fast and Convergent Canonical Polyadic Decomposition ICML 2020 A Locally Adaptive Bayesian Cubature Method AISTATS 2020 Amortized Finite Element Analysis for Fast PDE-Constrained Optimization ICML 2020 Analog Accelerator for Simulation and Diagnostics AAAI 2020 Computing Tight Differential Privacy Guarantees Using FFT AISTATS 2020 Coresets for Near-Convex Functions NeurIPS 2020 Debiasing Distributed Second Order Optimization with Surrogate Sketching and Scaled Regularization NeurIPS 2020 Do Subsampled Newton Methods Work for High-Dimensional Data? AAAI 2020 Entrywise convergence of iterative methods for eigenproblems NeurIPS 2020 Error Estimation for Sketched SVD via the Bootstrap ICML 2020