Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic Experts
Authors: Dirk Van Der Hoeven, Ciara Pike-Burke, Hao Qiu, Nicolò Cesa-Bianchi
ICML 2023 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Our algorithm is empirically evaluated on synthetic data. ... Our experiments use two sets of productivity functions defined on a uniform (random) grid C of N payments on [1/2, 1]. |
| Researcher Affiliation | Academia | 1Korteweg-de Vries Institute for Mathematics University of Amsterdam, Amsterdam, The Netherlands 2Department of Mathematics, Imperial College London, London, UK 3Universit a degli Studi di Milano, Milan, Italy 4Politecnico di Milano, Milan, Italy. |
| Pseudocode | Yes | Algorithm 1 LCB-GAPTRON |
| Open Source Code | No | The paper does not contain any explicit statement or link indicating that the source code for the described methodology is publicly available. |
| Open Datasets | No | Our algorithm is empirically evaluated on synthetic data. ... We sampled N numbers c1, . . . , c N uniformly at random from [1/2, 1] and defined pj(ci) = ci for all i [N] and all j [K]. |
| Dataset Splits | No | The paper uses synthetic data for experiments but does not explicitly describe train, validation, or test dataset splits with percentages or sample counts. |
| Hardware Specification | No | The paper does not specify any hardware details (e.g., GPU/CPU models, memory) used for running the experiments. |
| Software Dependencies | No | The paper does not list specific software dependencies with version numbers used for the experiments. |
| Experiment Setup | Yes | Figure 1. Cumulative cost over time for the choice of parameters K = 5, N = 5, T = 10^4, λ = 10^-2. ... Figure 2. Total cost for the following choices of parameters: K = 10, N = 10, T = 10^5, λ = 10^-2 (top plot), K = 10, N = 10, T = 10^5, λ = 10^-3 (central plot), K = 20, N = 50, T = 10^5, λ = 10^-2 (bottom plot). ... The error bars show the standard deviation of the cost averaged over 20 repetitions. |