conftrace_

conjugate gradient

43 papers

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Also known as

CG

Co-occurring keywords

gaussian process (1200) kernel methods (1097) variational inference (2069) conjugate gradient method (10) low-rank matrix (174) matrix completion (356) kernel matrix (73) gradient descent (1144) low-rank approximation (323) early stopping (76)

Papers

KernelMatmul: Scaling Gaussian Processes to Large Time Series AAAI 2025
Stochastic Gradient Estimation for Higher-Order Differentiable Rendering ICCV 2025
Learning Complexity of Gradient Descent and Conjugate Gradient Algorithms AAAI 2025
Large-Scale Gaussian Processes via Alternating Projection AISTATS 2024
Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes NIPS 2024
ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models NIPS 2024
Tight Convergence Rate Bounds for Optimization Under Power Law Spectral Conditions JMLR 2024
Surface Snapping Optimization Layer for Single Image Object Shape Reconstruction ICML 2023
Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems NIPS 2023
Learning Preconditioners for Conjugate Gradient PDE Solvers ICML 2023
A Deep Conjugate Direction Method for Iteratively Solving Linear Systems ICML 2023
A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse AAAI 2022
A Variant of Anderson Mixing with Minimal Memory Size NIPS 2022
Faster Randomized Interior Point Methods for Tall/Wide Linear Programs JMLR 2022
Low-precision arithmetic for fast Gaussian processes UAI 2022
Why Do Attributes Propagate in Graph Convolutional Neural Networks? AAAI 2021
SONIA: A Symmetric Blockwise Truncated Optimization Algorithm AISTATS 2021
Hierarchical Inducing Point Gaussian Process for Inter-domian Observations AISTATS 2021
Tighter Bounds on the Log Marginal Likelihood of Gaussian Process Regression Using Conjugate Gradients ICML 2021
Bias-Free Scalable Gaussian Processes via Randomized Truncations ICML 2021
Learning a Non-Blind Deblurring Network for Night Blurry Images CVPR 2021
Learning to Optimize Non-Rigid Tracking CVPR 2020
Faster Randomized Infeasible Interior Point Methods for Tall/Wide Linear Programs NIPS 2020
Probabilistic Linear Solvers for Machine Learning NIPS 2020
Conjugate Gradients for Kernel Machines JMLR 2020