conftrace_

low-rank approximation

323 papers

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Also known as

LORA

Co-occurring keywords

model compression (3302) matrix factorization (529) matrix completion (356) tensor decomposition (375) singular value decomposition (222) matrix approximation (89) dimensionality reduction (720) tensor completion (64) kernel methods (1097) convex optimization (1321)

Papers

Improved guarantees and a multiple-descent curve for Column Subset Selection and the Nystrom method NIPS 2020
Beyond Lazy Training for Over-parameterized Tensor Decomposition NIPS 2020
Estimation of a Low-rank Topic-Based Model for Information Cascades JMLR 2020
Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance ICML 2020
NetGAN without GAN: From Random Walks to Low-Rank Approximations ICML 2020
Estimating Model Uncertainty of Neural Networks in Sparse Information Form ICML 2020
An Efficient Low-Rank Tensors Representation for Algorithms in Complex Probabilistic Graphical Models PGM 2020
Sketching Transformed Matrices with Applications to Natural Language Processing AISTATS 2020
Fast and Efficient Boolean Matrix Factorization by Geometric Segmentation AAAI 2020
Multilabel Classification by Hierarchical Partitioning and Data-dependent Grouping NIPS 2020
Learning Feature Sparse Principal Subspace NIPS 2020
Pursuit of Low-Rank Models of Time-Varying Matrices Robust to Sparse and Measurement Noise AAAI 2020
Sparse and low-rank multivariate Hawkes processes JMLR 2020
Union of Low-Rank Tensor Spaces: Clustering and Completion JMLR 2020
Efficient Low Rank Gaussian Variational Inference for Neural Networks NIPS 2020
Tensor Regression Networks JMLR 2020
Practical Low-Rank Communication Compression in Decentralized Deep Learning NIPS 2020
Compressed Self-Attention for Deep Metric Learning with Low-Rank Approximation IJCAI 2020
TRP: Trained Rank Pruning for Efficient Deep Neural Networks IJCAI 2020
Nonlinear System Identification via Tensor Completion AAAI 2020
Dual Low-Rank Multimodal Fusion EMNLP 2020
Approximate Cross-Validation with Low-Rank Data in High Dimensions NIPS 2020
SPAN: A Stochastic Projected Approximate Newton Method AAAI 2020
Conjugate Gradients for Kernel Machines JMLR 2020
Precise expressions for random projections: Low-rank approximation and randomized Newton NIPS 2020