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Riemannian optimization
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Optimization methods on Riemannian manifolds.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
PoLAR: Polar-Decomposed Low-Rank Adapter Representation
Efficient Optimization with Orthogonality Constraint: a Randomized Riemannian Submanifold Method
Riemannian Optimization on the Oblique Manifold for Sparse Simplex Constraints via Multiplicative Updates
Differential Evolution for Grassmann Manifold Optimization: A Projection Approach
Riemannian Optimization on Relaxed Indicator Matrix Manifold
Higher Order Reduced Rank Regression
Multi-view Spectral Clustering on the Grassmannian Manifold With Hypergraph Representation
The Distributionally Robust Optimization Model of Sparse Principal Component Analysis
Fast, Accurate Manifold Denoising by Tunneling Riemannian Optimization
Spectral-factorized Positive-definite Curvature Learning for NN Training
Causal Abstraction Learning based on the Semantic Embedding Principle
A Riemannian Optimization Perspective of the Gauss-Newton Method for Feedforward Neural Networks
A Spectral Framework for Tracking Communities in Evolving Networks
Elliptical Wishart distributions: information geometry, maximum likelihood estimator, performance analysis and statistical learning
Hyperboloid GPLVM for Discovering Continuous Hierarchies via Nonparametric Estimation
Structured Regularization for Constrained Optimization on the SPD Manifold
Riemannian Optimization for Non-convex Euclidean Distance Geometry with Global Recovery Guarantees
The Gaussian Discriminant Variational Autoencoder (GdVAE): A Self-Explainable Model with Counterfactual Explanations
Gaussian-Mixture-Model Q-Functions for Reinforcement Learning by Riemannian Optimization
Optimal Matrix-Mimetic Tensor Algebras via Variable Projection
Riemannian coordinate descent algorithms on matrix manifolds
Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization Algorithms
Optimization without Retraction on the Random Generalized Stiefel Manifold
Fast Quantum Process Tomography via Riemannian Gradient Descent
Worst-Case Riemannian Optimization with Uncertain Target Steering Vector for Slow-Time Transmit Sequence of Cognitive Radar
Design of Artificial Interference Signals for Covert Communication Aided by Multiple Friendly Nodes
FireANTs: Adaptive Riemannian Optimization for Multi-Scale Diffeomorphic Matching
Meta-Learning with Generalized Ridge Regression: High-dimensional Asymptotics, Optimality and Hyper-covariance Estimation
Near-Optimal differentially private low-rank trace regression with guaranteed private initialization
Streamlining in the Riemannian Realm: Efficient Riemannian Optimization with Loopless Variance Reduction
Registration of algebraic varieties using Riemannian optimization
Block-Diagonal Orthogonal Relation and Matrix Entity for Knowledge Graph Embedding
Convergence and complexity of block majorization-minimization for constrained block-Riemannian optimization
Riemannian Self-Attention Mechanism for SPD Networks
Riemannian stochastic optimization methods avoid strict saddle points
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