low-rank matrices

MoE-SVD: Structured Mixture-of-Experts LLMs Compression via Singular Value Decomposition ICML 2025 A Phase Transition between Positional and Semantic Learning in a Solvable Model of Dot-Product Attention NeurIPS 2024 Efficient Pareto Manifold Learning with Low-Rank Structure ICML 2024 Efficient Frameworks for Generalized Low-Rank Matrix Bandit Problems NeurIPS 2022 The interplay between randomness and structure during learning in RNNs NeurIPS 2020 Riemannian Optimization for Skip-Gram Negative Sampling ACL 2017 Bayesian inference for low rank spatiotemporal neural receptive fields NeurIPS 2013 Convex Calibrated Surrogates for Low-Rank Loss Matrices with Applications to Subset Ranking Losses NeurIPS 2013 Active Learning of Multi-Index Function Models NeurIPS 2012 A Denoising View of Matrix Completion NeurIPS 2011 RTRMC: A Riemannian trust-region method for low-rank matrix completion NeurIPS 2011 Universal low-rank matrix recovery from Pauli measurements NeurIPS 2011 Online Learning in The Manifold of Low-Rank Matrices NeurIPS 2010