{"total":23,"rows":[{"id":"2403.03507","title":"GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection","created":"2024-03-06","cited_by_count":463,"area":null},{"id":"2410.01623","title":"Fira: Can We Achieve Full-rank Training of LLMs Under Low-rank Constraint?","created":"2024-10-02","cited_by_count":43,"area":null},{"id":"2104.14526","title":"Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Estimation from Incomplete Measurements","created":"2021-04-29","cited_by_count":28,"area":null},{"id":"2102.07227","title":"Learning by Turning: Neural Architecture Aware Optimisation","created":"2021-02-14","cited_by_count":23,"area":null},{"id":"2405.17991","title":"VeLoRA: Memory Efficient Training using Rank-1 Sub-Token Projections","created":"2024-05-28","cited_by_count":18,"area":null},{"id":"2206.08756","title":"Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their Interplay","created":"2022-06-17","cited_by_count":15,"area":null},{"id":"2409.10927","title":"Propulsion: Steering LLM with Tiny Fine-Tuning","created":"2024-09-17","cited_by_count":14,"area":null},{"id":"2104.12031","title":"Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence","created":"2021-04-24","cited_by_count":13,"area":null},{"id":"2412.19616","title":"Gradient Weight-normalized Low-rank Projection for Efficient LLM Training","created":"2024-12-27","cited_by_count":11,"area":null},{"id":"2410.08598","title":"Parameter-Efficient Fine-Tuning of Large Language Models using Semantic Knowledge Tuning","created":"2024-10-11","cited_by_count":10,"area":null},{"id":"2412.00071","title":"COAP: Memory-Efficient Training with Correlation-Aware Gradient Projection","created":"2024-11-26","cited_by_count":8,"area":null},{"id":"2506.16032","title":"A Scalable Factorization Approach for High-Order Structured Tensor Recovery","created":"2025-06-19","cited_by_count":4,"area":null},{"id":"2311.03967","title":"CeCNN: Copula-enhanced convolutional neural networks in joint prediction of refraction error and axial length based on ultra-widefield fundus images","created":"2023-11-07","cited_by_count":3,"area":null},{"id":"2602.05887","title":"Escaping Local Minima Provably in Non-convex Matrix Sensing: A Deterministic Framework via Simulated Lifting","created":"2026-02-05","cited_by_count":3,"area":null},{"id":"2309.09555","title":"Multi-dimensional domain generalization with low-rank structures","created":"2023-09-18","cited_by_count":2,"area":null},{"id":"2410.15224","title":"Robust Low-rank Tensor Train Recovery","created":"2024-10-19","cited_by_count":2,"area":null},{"id":"2405.18412","title":"Tensor Methods in High Dimensional Data Analysis: Opportunities and Challenges","created":"2024-05-28","cited_by_count":1,"area":null},{"id":"2501.07237","title":"GWT: Scalable Optimizer State Compression for Large Language Model Training","created":"2025-01-13","cited_by_count":1,"area":null},{"id":"2508.06069","title":"Lightweight Auto-bidding based on Traffic Prediction in Live Advertising","created":"2025-08-08","cited_by_count":1,"area":null},{"id":"2403.15999","title":"Near-Optimal differentially private low-rank trace regression with guaranteed private initialization","created":"2024-03-24","cited_by_count":0,"area":null},{"id":"2511.01196","title":"An Interdisciplinary and Cross-Task Review on Missing Data Imputation","created":"2025-11-03","cited_by_count":0,"area":null},{"id":"2609.24501","title":"Tensor Completion using Subspace Information","created":"2026-09-21","cited_by_count":0,"area":null},{"id":"2609.36659","title":"On-Policy Parameter Update Direction Underlies Generalization in LLM Post-Training","created":"2026-09-29","cited_by_count":0,"area":null}],"next_cursor":null}