Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
Oracle Complexity of Second-Order Methods for Finite-Sum Problems
Authors: Yossi Arjevani, Ohad Shamir
ICML 2017 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | In this paper, we consider the opposite direction, and study lower bounds on the number of iterations required by algorithms using second-order (or possibly even higher-order) information, focusing on ο¬nite-sum problems which are strongly-convex and smooth. |
| Researcher Affiliation | Academia | 1Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel. |
| Pseudocode | No | The paper describes algorithmic concepts and constructions but does not provide any pseudocode or clearly labeled algorithm blocks. |
| Open Source Code | No | The paper does not contain any statement about releasing source code or a link to a code repository for the methodology described. |
| Open Datasets | No | The paper is theoretical, analyzing oracle complexity and lower bounds using constructed functions (e.g., quadratic functions in Theorem 2). It does not use real-world datasets for training or experimentation. |
| Dataset Splits | No | As a theoretical paper, it does not involve empirical evaluation on datasets with training, validation, or test splits. |
| Hardware Specification | No | The paper is theoretical and does not mention any specific hardware used for computations or experiments. |
| Software Dependencies | No | The paper is theoretical and does not mention any specific software dependencies or version numbers. |
| Experiment Setup | No | The paper is theoretical and does not describe an experimental setup, including hyperparameters or system-level training settings. |