Generalized Singular Value Thresholding
Authors: Canyi Lu, Changbo Zhu, Chunyan Xu, Shuicheng Yan, Zhouchen Lin
AAAI 2015 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experiments In this section, we conduct some experiments on the matrix completion problem to test our proposed GPG algorithm... We compared GPG with IRNN on both synthetic and real data. |
| Researcher Affiliation | Academia | Canyi Lu1, Changbo Zhu1, Chunyan Xu2, Shuicheng Yan1, Zhouchen Lin3, 1 Department of Electrical and Computer Engineering, National University of Singapore 2 School of Computer Science and Technology, Huazhong University of Science and Technology 3 Key Laboratory of Machine Perception (MOE), School of EECS, Peking University |
| Pseudocode | Yes | Algorithm 1: A General Solver to (5) in which g satisfying Assumption 1 |
| Open Source Code | No | The paper does not provide any specific statements about releasing source code or links to a code repository for the described methodology. |
| Open Datasets | Yes | We test on the Movie Lens data set (Herlocker et al. 1999) which includes three problems, movie-100K , movie-1M and movie-10M . |
| Dataset Splits | No | The paper describes data generation and missing data scenarios (e.g., 'Half of the elements in M are missing', '40% of pixels are uniformly missing') but does not specify exact training, validation, or test dataset splits with percentages or sample counts. |
| Hardware Specification | No | The paper does not provide any specific details about the hardware (e.g., GPU models, CPU types, memory) used for running the experiments. |
| Software Dependencies | No | The paper refers to algorithms and methods (e.g., ALM, APGL) but does not specify any software dependencies with version numbers. |
| Experiment Setup | Yes | The initial value of λ in the Logarithm penalty is set to λ0, and dynamically decreased till reaching λt. We set λ0 = 0.9||PΩ(M)|| , and λt = 10 5λ0. For this task, we set λ0 = 10||PΩ(M)|| , and λt = 0.1λ0 in GPG. |