Non-monotonic Resource Utilization in the Bandits with Knapsacks Problem

Authors: Raunak Kumar, Robert Kleinberg

NeurIPS 2022 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical 3. If you ran experiments... (a) Did you include the code, data, and instructions needed to reproduce the main experimental results (either in the supplemental material or as a URL)? [N/A] (b) Did you specify all the training details (e.g., data splits, hyperparameters, how they were chosen)? [N/A] (c) Did you report error bars (e.g., with respect to the random seed after running experiments multiple times)? [N/A] (d) Did you include the total amount of compute and the type of resources used (e.g., type of GPUs, internal cluster, or cloud provider)? [N/A]
Researcher Affiliation Academia Raunak Kumar Department of Computer Science Cornell University Ithaca, NY 14853 raunak@cs.cornell.edu Robert D. Kleinberg Department of Computer Science Cornell University Ithaca, NY 14853 rdk@cs.cornell.edu
Pseudocode Yes Algorithm 1: Control Budget (for m = 1), Algorithm 2: Control Budget (for general m), Algorithm 3: Explore Then Control Budget
Open Source Code No The paper states '[N/A]' for code inclusion under the '3. If you ran experiments...' section, and there is no explicit statement or link to open-source code for the described methodology.
Open Datasets No The paper is theoretical and does not conduct empirical experiments involving datasets. The '3. If you ran experiments...' section explicitly states '[N/A]' for data, training details, error bars, and compute.
Dataset Splits No The paper is theoretical and does not conduct empirical experiments involving datasets. The '3. If you ran experiments...' section explicitly states '[N/A]' for data, training details, error bars, and compute.
Hardware Specification No The paper is theoretical and does not describe any experiments that would require specific hardware. The '3. If you ran experiments...' section explicitly states '[N/A]' for compute resources.
Software Dependencies No The paper is theoretical and does not describe any experiments that would require specific software dependencies with version numbers. The '3. If you ran experiments...' section explicitly states '[N/A]' for training details.
Experiment Setup No The paper is theoretical and focuses on algorithm design and proofs, not empirical experiments with a specific setup like hyperparameters or training configurations. The '3. If you ran experiments...' section explicitly states '[N/A]' for training details.