conjugate gradient

Embedding Conjugate Gradient in Learning Random Walks for Landscape Connectivity Modeling in Conservation IJCAI 2020 Faster Randomized Infeasible Interior Point Methods for Tall/Wide Linear Programs NeurIPS 2020 Learning to Optimize Non-Rigid Tracking CVPR 2020 Probabilistic Linear Solvers for Machine Learning NeurIPS 2020 Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis IJCAI 2019 EA-CG: An Approximate Second-Order Method for Training Fully-Connected Neural Networks AAAI 2019 GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration NeurIPS 2018 Preconditioned Conjugate Gradient Methods in Truncated Newton Frameworks for Large-scale Linear Classification ACML 2018 Stochastic Spectral and Conjugate Descent Methods NeurIPS 2018 Tensor Completion with Side Information: A Riemannian Manifold Approach IJCAI 2017 Preconditioning Kernel Matrices ICML 2016 A New Retraction for Accelerating the Riemannian Three-Factor Low-Rank Matrix Completion Algorithm CVPR 2015 Clique-Graph Matching by Preserving Global & Local Structure CVPR 2015 Collaborative Filtering with Graph Information: Consistency and Scalable Methods NeurIPS 2015 Fast Kronecker Inference in Gaussian Processes with non-Gaussian Likelihoods ICML 2015 EDML for Learning Parameters in Directed and Undirected Graphical Models NeurIPS 2013 Fast Variational Inference in the Conjugate Exponential Family NeurIPS 2012 Scaled Gradients on Grassmann Manifolds for Matrix Completion NeurIPS 2012 Laplacian Support Vector Machines Trained in the Primal JMLR 2011 Kernel Partial Least Squares is Universally Consistent AISTATS 2010 Optimal learning rates for Kernel Conjugate Gradient regression NeurIPS 2010