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kronecker product

33 papers

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Co-occurring keywords

tensor decomposition (375) graphical model (864) low-rank adaptation (560) gaussian process (1200) bayesian inference (1907) matrix-variate gaussian (3) second-order optimization (93) convolutional neural network (4226) parameter-efficient fine-tuning (736) parameter efficient fine-tuning (168)

Papers

Oxytrees: Model Trees for Bipartite Learning AAAI 2026
DiffuseKronA: A Parameter Efficient Fine-Tuning Method for Personalized Diffusion Models WACV 2025
MoKA:Parameter Efficiency Fine-Tuning via Mixture of Kronecker Product Adaption COLING 2025
AdaKron: An Adapter-based Parameter Efficient Model Tuning with Kronecker Product COLING 2024
A Layer-Wise Natural Gradient Optimizer for Training Deep Neural Networks NIPS 2024
Dimension-free Structured Covariance Estimation COLT 2024
KrADagrad: Kronecker approximation-domination gradient preconditioned stochastic optimization UAI 2023
Sketching Meets Differential Privacy: Fast Algorithm for Dynamic Kronecker Projection Maintenance ICML 2023
Efficient Compact Bilinear Pooling via Kronecker Product AAAI 2022
Near-Isometric Properties of Kronecker-Structured Random Tensor Embeddings NIPS 2022
Subquadratic Kronecker Regression with Applications to Tensor Decomposition NIPS 2022
KoPA: Automated Kronecker Product Approximation JMLR 2022
Fast Payoff Matrix Sparsification Techniques for Structured Extensive-Form Games AAAI 2022
Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition AAAI 2022
Compacter: Efficient Low-Rank Hypercomplex Adapter Layers NIPS 2021
Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging NIPS 2021
Tensor Normal Training for Deep Learning Models NIPS 2021
EiGLasso: Scalable Estimation of Cartesian Product of Sparse Inverse Covariance Matrices UAI 2020
Scalable Gaussian Process Regression Networks IJCAI 2020
Scalable High-Order Gaussian Process Regression AISTATS 2019
Optimal Sketching for Kronecker Product Regression and Low Rank Approximation NIPS 2019
Learning Neural Networks with Adaptive Regularization NIPS 2019
End-to-End Deep Kronecker-Product Matching for Person Re-Identification CVPR 2018
Scalable Gaussian Processes with Grid-Structured Eigenfunctions (GP-GRIEF) ICML 2018
Kronecker Determinantal Point Processes NIPS 2016