Co-occurring keywords · papers mentioning both
Papers
A Catalyst Framework for the Quantum Linear System Problem via the Proximal Point Algorithm
AAAI 2026
Rethinking Neural-based Matrix Inversion: Why can’t, and Where can
AISTATS 2025
Training Flexible Models of Genetic Variant Effects from Functional Annotations using Accelerated Linear Algebra
ICML 2025
Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models
ICML 2023
Deep Learning of Determinantal Point Processes via Proper Spectral Sub-gradient
ICLR 2020
Embarrassingly Parallel Inference for Gaussian Processes
JMLR 2019
Accelerated Stochastic Matrix Inversion: General Theory and Speeding up BFGS Rules for Faster Second-Order Optimization
NeurIPS 2018
A Spectral Algorithm for Inference in Hidden semi-Markov Models
JMLR 2017
Hardware-Efficient Guided Image Filtering for Multi-Label Problem
CVPR 2017