matrix factorization

A Nonconvex Framework for Structured Dynamic Covariance Recovery JMLR 2022 Clustering a union of linear subspaces via matrix factorization and innovation search UAI 2022 Efficient Nearest Neighbor Search for Cross-Encoder Models using Matrix Factorization EMNLP 2022 Fast Stagewise Sparse Factor Regression JMLR 2022 Generalized Matrix Factorization: efficient algorithms for fitting generalized linear latent variable models to large data arrays JMLR 2022 Large Learning Rate Tames Homogeneity: Convergence and Balancing Effect ICLR 2022 Multi-Mode Deep Matrix and Tensor Factorization ICLR 2022 Multi-Mode Tensor Space Clustering Based on Low-Tensor-Rank Representation AAAI 2022 Nonconvex Matrix Completion with Linearly Parameterized Factors JMLR 2022 Polynomial time guarantees for the Burer-Monteiro method NeurIPS 2022 Tensor Wheel Decomposition and Its Tensor Completion Application NeurIPS 2022 Additive Error Guarantees for Weighted Low Rank Approximation ICML 2021 Adversarial Regression with Doubly Non-negative Weighting Matrices NeurIPS 2021 Amortized Neural Networks for Low-Latency Speech Recognition Interspeech 2021 A Simple and Effective Method To Eliminate the Self Language Bias in Multilingual Representations EMNLP 2021 Bayesian Dynamic Mode Decomposition with Variational Matrix Factorization AAAI 2021 Computationally Tractable Riemannian Manifolds for Graph Embeddings AAAI 2021 CWY Parametrization: a Solution for Parallelized Optimization of Orthogonal and Stiefel Matrices AISTATS 2021 Deep Learning meets Projective Clustering ICLR 2021 Differential Privacy Over Riemannian Manifolds NeurIPS 2021 Differentiating the Value Function by using Convex Duality AISTATS 2021 Direction is what you need: Improving Word Embedding Compression in Large Language Models ACL 2021 Discrete-Valued Latent Preference Matrix Estimation with Graph Side Information ICML 2021 DRONE: Data-aware Low-rank Compression for Large NLP Models NeurIPS 2021 Empirical Bayes Matrix Factorization JMLR 2021