Online Continuous-Time Tensor Factorization Based on Pairwise Interactive Point Processes
Authors: Hongteng Xu, Dixin Luo, Lawrence Carin
IJCAI 2018 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Compared to existing stateof-the-art methods, our approach captures the latent structure of the tensor and its evolution over time, obtaining superior results on real-world datasets. and 6 Experimental Results We evaluate our method (CTTF) on two real-world datasets |
| Researcher Affiliation | Collaboration | Hongteng Xu1,2, Dixin Luo2, Lawrence Carin2 1 Infinia ML, Inc. 2 Department of Electrical and Computer Engineering, Duke University |
| Pseudocode | Yes | Algorithm 1 Online CFFT Input: An initial sequence in [0, T0], parameters α, β, ρ, τ. Output: A set of xi s for different time intervals. |
| Open Source Code | No | The paper states 'The proposed method is implemented in MATLAB.' but does not provide any link to source code or an explicit statement about its public availability. |
| Open Datasets | Yes | We evaluate our method (CTTF) on two real-world datasets, and we segment each into several subsets... The IPTV dataset [Wang et al., 2016; Luo et al., 2014] contains the watching history... We next consider a dataset from the Global Database of Events, Location, and Tone (GDELT) [Leetaru and Schrodt, 2013]. |
| Dataset Splits | No | The hyper-parameters, including {ρ, α, β} in our method and the w in kernel κ(t) are selected using 10-fold cross validation with grid search. and For each method, the data in the first 168 hours is used to train the model and the remaining data is used to test. No explicit separate validation split mentioned in the dataset partitioning. |
| Hardware Specification | No | The paper mentions 'The proposed method is implemented in MATLAB.' and provides runtime curves but does not specify any hardware details like GPU or CPU models used for the experiments. |
| Software Dependencies | No | The paper states 'The proposed method is implemented in MATLAB.' but does not specify a version number for MATLAB or any other software dependencies. |
| Experiment Setup | No | The paper states 'The hyper-parameters, including {ρ, α, β} in our method and the w in kernel κ(t) are selected using 10-fold cross validation with grid search.' but does not provide specific values for these or other hyperparameters, nor other detailed training configurations. |