Nonmyopic ε-Bayes-Optimal Active Learning of Gaussian Processes
Authors: Trong Nghia Hoang, Bryan Kian Hsiang Low, Patrick Jaillet, Mohan Kankanhalli
ICML 2014 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We empirically demonstrate using synthetic and real-world datasets that, with limited budget, our proposed approach outperforms state-of-the-art algorithms (Section 4). |
| Researcher Affiliation | Academia | Department of Computer Science, National University of Singapore, Republic of Singapore Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, USA |
| Pseudocode | Yes | Algorithm 1 h , i-BAL(z D0) |
| Open Source Code | No | The paper does not contain an explicit statement about releasing the source code for the described methodology or a link to a code repository. |
| Open Datasets | No | The paper uses a 'simulated spatial phenomenon' and a 'Real-World Traffic Phenomenon' specific to the Tampines area, Singapore. It does not provide concrete access information (link, DOI, repository, or formal citation) for a publicly available or open dataset. |
| Dataset Splits | No | The paper does not provide specific dataset split information (exact percentages, sample counts, citations to predefined splits, or detailed splitting methodology) for training, validation, or test sets. |
| Hardware Specification | Yes | All experiments are run on a Mac OS X machine with Intel Core i7 at 2.66 GHz. |
| Software Dependencies | No | The paper mentions 'Mac OS X' but does not provide specific software dependencies or library versions (e.g., Python 3.8, PyTorch 1.9, CPLEX 12.4) needed to replicate the experiment. |
| Experiment Setup | Yes | The phenomenon is a realization of a GP (Section 2) parameterized by λ = {σλn = 0.25, σλs = 10.0, λ = 1.0}. For simplicity, we assume that σλs are known, but the true length-scale λ = 1 is not. So, a uniform prior belief b D0=; is maintained over a set L = {1, 6, 9, 12, 15, 18, 21} of 7 candidate length-scales λ. |