Universality in Transfer Learning for Linear Models
Authors: Reza Ghane, Danil Akhtiamov, Babak Hassibi
NeurIPS 2024 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | In Section 5, we validate our theoretical results through empirical experiments. |
| Researcher Affiliation | Academia | Reza Ghane Department of Electrical Engineering California Institute of Technology Pasadena, CA 91125 rghanekh@caltech.edu Danil Akhtiamov Department of Computing + Mathematical Sciences California Institute of Technology Pasadena, CA 91125 dakhtiam@caltech.edu Babak Hassibi Department of Electrical Engineering Department of Computing + Mathematical Sciences California Institute of Technology Pasadena, CA 91125 hassibi@caltech.edu |
| Pseudocode | No | No structured pseudocode or algorithm blocks were found in the paper. |
| Open Source Code | Yes | The code is attached to the supplementary material. |
| Open Datasets | No | The paper describes generating synthetic data from specified distributions (N(0,1), Ber(0.5), chi2(1)) rather than using a named, publicly accessible dataset with concrete access information. |
| Dataset Splits | No | The paper generates synthetic data for different values of `n` and `d` but does not specify explicit train/validation/test dataset splits (e.g., percentages or counts) as it relates to a fixed dataset. |
| Hardware Specification | Yes | We used CVXPY (Grant and Boyd [2014], Agrawal et al. [2018]) to solve (1) efficiently on a Laptop CPU. |
| Software Dependencies | Yes | We used CVXPY (Grant and Boyd [2014], Agrawal et al. [2018]) to solve (1) efficiently on a Laptop CPU. |
| Experiment Setup | Yes | To do so, we fixed π= 1000 and varied πacross different values... w0 is chosen according to Assumptions 3 in such a manner that ππ= 1... We also sampled the means Β΅1 and Β΅2 from N (0, 1/πIπ) with a cross-correlation π= E[Β΅1πΒ΅2π] = 0.9... For Figures 3, we fixed π= 0.8, 2, 5 respectively... |