The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
First-order methods of smooth convex optimization with inexact oracle
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Introductory Lectures on Convex Optimization: A Basic Course
Nesterov, Y. E. (2014) · Medical Entomology and Zoology · Cited by 3,557
Self-citationIntroductory Lectures on Convex Optimization
Nesterov, Y. (2004) · Applied Optimization · doi:10.1007/978-1-4419-8853-9 · Cited by 2,698
Self-citationSmooth minimization of non-smooth functions
Nesterov, Y. (2005) · Mathematical Programming · doi:10.1007/s10107-004-0552-5 · Cited by 2,455
Self-citation(1989) · Choice Reviews Online · doi:10.5860/choice.26-5109 · Cited by 1,755
Minimization Methods for Non-Differentiable Functions
Shor, N. Z. (1985) · Springer Series in Computational Mathematics · doi:10.1007/978-3-642-82118-9 · Cited by 1,551
Problem complexity and method efficiency in optimization
(1984) · Mathematics and Computers in Simulation · doi:10.1016/0378-4754(84)90101-0 · Cited by 1,329
Gradient methods for minimizing composite functions
Nesterov, Y. (2013) · Mathematical Programming · doi:10.1007/s10107-012-0629-5 · Cited by 1,298
Self-citationSimulation-based Econometric Methods
Gouriéroux, C., & Monfort, A. (1997) · doi:10.1093/0198774753.001.0001 · Cited by 1,038
Gradient methods for minimizing composite objective function
Nesterov, Y. E. (2007) · Cited by 867
Self-citationProblem Complexity and Method Efficiency in Optimization
Darzentas, J., Nemirovsky, A., & Yudin, D. B. (1984) · Journal of the Operational Research Society · doi:10.2307/2581380 · Cited by 650
Cited by
Fast Distributed Gradient Methods
Jakovetic, D., Xavier, J., & Moura, J. M. F. (2014) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2014.2298712 · Cited by 624
Stochastic Model-Based Minimization of Weakly Convex Functions
Davis, D., & Drusvyatskiy, D. (2019) · SIAM Journal on Optimization · doi:10.1137/18m1178244 · Cited by 258
Wavelet-Improved Score-Based Generative Model for Medical Imaging
Wu, W., Wang, Y., Liu, Q., Wang, G., & Zhang, J. (2024) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2023.3325824 · Cited by 105
Metadata
- Authors
- Devolder, O., Glineur, F., & Nesterov, Y.
- Venue
- Mathematical Programming
- Published
- 2013-06-14
- Volume
- 146
- Issue
- 1-2
- Pages
- 37-75
- ISSN
- 0025-5610 (ISSN-L)
- 1436-4646
- OpenAlex
- W2124768887
- Cited by
- 422
- References
- 20
- FWCI
- 28.32
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: First-order methods of smooth convex optimization with inexact oracle. https://app.cochat.ai/papers/10.1007/s10107-013-0677-5
- The paper
- Devolder, O., Glineur, F., & Nesterov, Y. (2014). First-order methods of smooth convex optimization with inexact oracle. Mathematical Programming. https://doi.org/10.1007/s10107-013-0677-5
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
