Numerical Analysis

Grounding and Enhancing Grid-based Models for Neural Fields CVPR 2024 Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates AAAI 2024 Learning to Relax: Setting Solver Parameters Across a Sequence of Linear System Instances ICLR 2024 Linear Time Approximation Algorithm for Column Subset Selection with Local Search NeurIPS 2024 Lower Complexity Bounds of Finite-Sum Optimization Problems: The Results and Construction JMLR 2024 Nearly Optimal Approximation of Matrix Functions by the Lanczos Method NeurIPS 2024 On the convergence of adaptive first order methods: Proximal gradient and alternating minimization algorithms L4DC 2024 On the Nyström Approximation for Preconditioning in Kernel Machines AISTATS 2024 PDENNEval: A Comprehensive Evaluation of Neural Network Methods for Solving PDEs IJCAI 2024 Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees NeurIPS 2024 PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs NeurIPS 2024 Quasi-Monte Carlo for 3D Sliced Wasserstein ICLR 2024 RandNet-Parareal: a time-parallel PDE solver using Random Neural Networks NeurIPS 2024 SHoP: A Deep Learning Framework for Solving High-Order Partial Differential Equations AAAI 2024 Sketched Newton Value Iteration for Large-Scale Markov Decision Processes AAAI 2024 The Galerkin method beats Graph-Based Approaches for Spectral Algorithms AISTATS 2024 Towards Scalable and Stable Parallelization of Nonlinear RNNs NeurIPS 2024 A Deep Conjugate Direction Method for Iteratively Solving Linear Systems ICML 2023 A Fast Adaptive Randomized PCA Algorithm IJCAI 2023 Block Broyden's Methods for Solving Nonlinear Equations NeurIPS 2023 Block Subsampled Randomized Hadamard Transform for Nyström Approximation on Distributed Architectures ICML 2023 CoLA: Exploiting Compositional Structure for Automatic and Efficient Numerical Linear Algebra NeurIPS 2023 Complex-to-Real Sketches for Tensor Products with Applications to the Polynomial Kernel AISTATS 2023 Computing Approximate ℓ_p Sensitivities NeurIPS 2023 Constant Matters: Fine-grained Error Bound on Differentially Private Continual Observation ICML 2023