Jérôme Bolte : Citation Profile

Are you Jérôme Bolte?

Toulouse School of Economics (TSE)

6

H index

3

i10 index

177

Citations

RESEARCH PRODUCTION:

10

Articles

18

Papers

RESEARCH ACTIVITY:

   21 years (2003 - 2024). See details.
   Cites by year: 8
   Journals where Jérôme Bolte has often published
   Relations with other researchers
   Recent citing documents: 40.    Total self citations: 12 (6.35 %)

MORE DETAILS IN:
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   Permalink: http://citec.repec.org/pbo498
   Updated: 2024-12-03    RAS profile: 2024-02-07    
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Relations with other researchers

Works with:

Authors registered in RePEc who have co-authored more than one work in the last five years with Jérôme Bolte.

Is cited by:

Soubeyran, Antoine (5)

Vranceanu, Radu (3)

Besancenot, Damien (3)

Levy, Raphaël (3)

Renault, Jérôme (2)

Mukherjee, Arijit (1)

Bobtcheff, Catherine (1)

Groen-Xu, Moqi (1)

zhang, qian yu (1)

Wagner, Gert (1)

Zhou, Beixi (1)

Cites to:

Sorin, Sylvain (7)

Hofbauer, Josef (6)

Aghion, Philippe (5)

Soubeyran, Antoine (5)

Howitt, Peter (4)

Vickers, John (4)

Vieille, Nicolas (2)

Cantillon, Estelle (2)

DellaVigna, Stefano (2)

Card, David (2)

bloom, nicholas (2)

Main data

Where Jérôme Bolte has published?

Journals with more than one article published# docs
Journal of Optimization Theory and Applications3

Working Papers Series with more than one paper published# docs
TSE Working Papers / Toulouse School of Economics (TSE)13
Post-Print / HAL2

Recent works citing Jérôme Bolte (2024 and 2023)

YearTitle of citing document
2023Pioneer, early follower or late entrant: Entry dynamics with learning and market competition. (2023). Ishida, Junichiro ; Mukherjee, Arijit ; Chen, Chia-Hui. In: European Economic Review. RePEc:eee:eecrev:v:152:y:2023:i:c:s0014292122002409.

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2024Dynamic coordination with payoff and informational externalities. (2024). Zhou, Beixi. In: Games and Economic Behavior. RePEc:eee:gamebe:v:144:y:2024:i:c:p:141-166.

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2023The effects of rivalry on scientific progress under public vs private learning. (2023). Ozdenoren, Emre ; Katsenos, Georgios ; Hoppe-Wewetzer, Heidrun. In: Journal of Economic Theory. RePEc:eee:jetheo:v:212:y:2023:i:c:s0022053123000984.

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2023Short-term incentives of research evaluations: Evidence from the UK Research Excellence Framework. (2023). Groen-Xu, Moqi ; Knapp, Bernhard ; Voigt, Thomas ; Teixeira, Pedro A ; Bos, Gregor. In: Research Policy. RePEc:eee:respol:v:52:y:2023:i:6:s0048733323000136.

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2023Avoiding bad steps in Frank-Wolfe variants. (2023). Zeffiro, Damiano ; Rinaldi, Francesco. In: Computational Optimization and Applications. RePEc:spr:coopap:v:84:y:2023:i:1:d:10.1007_s10589-022-00434-3.

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2023A global exact penalty for rank-constrained optimization problem and applications. (2023). Han, LE ; Yang, Zhikai. In: Computational Optimization and Applications. RePEc:spr:coopap:v:84:y:2023:i:2:d:10.1007_s10589-022-00427-2.

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2023An abstract convergence framework with application to inertial inexact forward–backward methods. (2023). Rebegoldi, Simone ; Prato, Marco ; Ochs, Peter ; Bonettini, Silvia. In: Computational Optimization and Applications. RePEc:spr:coopap:v:84:y:2023:i:2:d:10.1007_s10589-022-00441-4.

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2023On the asymptotic rate of convergence of Stochastic Newton algorithms and their Weighted Averaged versions. (2023). Godichon-Baggioni, Antoine ; Boyer, Claire. In: Computational Optimization and Applications. RePEc:spr:coopap:v:84:y:2023:i:3:d:10.1007_s10589-022-00442-3.

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2023A matrix nonconvex relaxation approach to unconstrained binary polynomial programs. (2023). Bi, Shujun ; Pan, Shaohua ; Qian, Yitian. In: Computational Optimization and Applications. RePEc:spr:coopap:v:84:y:2023:i:3:d:10.1007_s10589-022-00443-2.

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2023An inexact Riemannian proximal gradient method. (2023). Wei, KE ; Huang, Wen. In: Computational Optimization and Applications. RePEc:spr:coopap:v:85:y:2023:i:1:d:10.1007_s10589-023-00451-w.

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2023Doubly iteratively reweighted algorithm for constrained compressed sensing models. (2023). Pong, Ting Kei ; Sun, Shuqin. In: Computational Optimization and Applications. RePEc:spr:coopap:v:85:y:2023:i:2:d:10.1007_s10589-023-00468-1.

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2023Conditional gradient method for vector optimization. (2023). Zhao, Yong ; Yang, Xinmin ; Chen, Wang. In: Computational Optimization and Applications. RePEc:spr:coopap:v:85:y:2023:i:3:d:10.1007_s10589-023-00478-z.

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2023Zero-norm regularized problems: equivalent surrogates, proximal MM method and statistical error bound. (2023). Pan, Shaohua ; Zhang, Dongdong ; Sun, Defeng ; Bi, Shujun. In: Computational Optimization and Applications. RePEc:spr:coopap:v:86:y:2023:i:2:d:10.1007_s10589-023-00496-x.

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2023Continuous Time Learning Algorithms in Optimization and Game Theory. (2023). Sorin, Sylvain. In: Dynamic Games and Applications. RePEc:spr:dyngam:v:13:y:2023:i:1:d:10.1007_s13235-021-00423-x.

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2023Calmness of partial perturbation to composite rank constraint systems and its applications. (2023). Liu, Yulan ; Pan, Shaohua ; Qian, Yitian. In: Journal of Global Optimization. RePEc:spr:jglopt:v:85:y:2023:i:4:d:10.1007_s10898-022-01239-8.

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2023An extrapolated proximal iteratively reweighted method for nonconvex composite optimization problems. (2023). Ni, Qin ; Zhang, Xin ; Wu, Zhongming ; Ge, Zhili. In: Journal of Global Optimization. RePEc:spr:jglopt:v:86:y:2023:i:4:d:10.1007_s10898-023-01299-4.

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2023An alternating structure-adapted Bregman proximal gradient descent algorithm for constrained nonconvex nonsmooth optimization problems and its inertial variant. (2023). Han, Deren ; Wang, Xiangfeng ; Cai, Xingju ; Gao, Xue. In: Journal of Global Optimization. RePEc:spr:jglopt:v:87:y:2023:i:1:d:10.1007_s10898-023-01300-0.

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2023Fast Convergence of Inertial Gradient Dynamics with Multiscale Aspects. (2023). Zhuge, Xiangwu ; Ren, Haixin. In: Journal of Optimization Theory and Applications. RePEc:spr:joptap:v:196:y:2023:i:2:d:10.1007_s10957-022-02124-w.

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2023Bregman Three-Operator Splitting Methods. (2023). Vandenberghe, Lieven ; Jiang, Xin. In: Journal of Optimization Theory and Applications. RePEc:spr:joptap:v:196:y:2023:i:3:d:10.1007_s10957-022-02125-9.

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2023Smoothing Accelerated Proximal Gradient Method with Fast Convergence Rate for Nonsmooth Convex Optimization Beyond Differentiability. (2023). Bian, Wei ; Wu, Fan. In: Journal of Optimization Theory and Applications. RePEc:spr:joptap:v:197:y:2023:i:2:d:10.1007_s10957-023-02176-6.

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2023Calculus Rules of the Generalized Concave Kurdyka–?ojasiewicz Property. (2023). Wang, Ziyuan. In: Journal of Optimization Theory and Applications. RePEc:spr:joptap:v:197:y:2023:i:3:d:10.1007_s10957-023-02219-y.

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2023Stochastic Composition Optimization of Functions Without Lipschitz Continuous Gradient. (2023). Tajbakhsh, Sam Davanloo ; Liu, Yin. In: Journal of Optimization Theory and Applications. RePEc:spr:joptap:v:198:y:2023:i:1:d:10.1007_s10957-023-02180-w.

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2023A Forward–Backward Algorithm With Different Inertial Terms for Structured Non-Convex Minimization Problems. (2023). Laszlo, Szilard Csaba. In: Journal of Optimization Theory and Applications. RePEc:spr:joptap:v:198:y:2023:i:1:d:10.1007_s10957-023-02204-5.

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2023Convergence of Inertial Dynamics Driven by Sums of Potential and Nonpotential Operators with Implicit Newton-Like Damping. (2023). Vo, Van Nam ; Attouch, Hedy ; Adly, Samir. In: Journal of Optimization Theory and Applications. RePEc:spr:joptap:v:198:y:2023:i:1:d:10.1007_s10957-023-02228-x.

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2023A Tensor Optimization Algorithm for Computing Lagrangians of Hypergraphs. (2023). Zhang, Xin ; Xiao, Bin ; Chang, Jingya. In: Journal of Optimization Theory and Applications. RePEc:spr:joptap:v:198:y:2023:i:2:d:10.1007_s10957-023-02215-2.

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2024The exact worst-case convergence rate of the alternating direction method of multipliers. (2023). Abbaszadehpeivasti, Hadi ; Zamani, Moslem ; de Klerk, Etienne. In: Other publications TiSEM. RePEc:tiu:tiutis:f30ae9e6-ed19-423f-bd1e-0f4d15facfae.

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2023On the convergence of global-optimization fraudulent stochastic algorithms. (2023). Miclo, Laurent. In: TSE Working Papers. RePEc:tse:wpaper:128086.

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Works by Jérôme Bolte:

YearTitleTypeCited
2015Researchers Dilemma In: CEPR Discussion Papers.
[Full Text][Citation analysis]		paper19
2015Researchers Dilemma.(2015) In: IDEI Working Papers.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 19		paper
2017Researcher’s Dilemma.(2017) In: The Review of Economic Studies.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 19		article
2015Researchers Dilemma.(2015) In: TSE Working Papers.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 19		paper
2020The multiproximal linearization method for convex composite problems In: Post-Print.
[Citation analysis]		paper0
2024Swarm gradient dynamics for global optimization: the mean-field limit case In: Post-Print.
[Full Text][Citation analysis]		paper1
2022Swarm gradient dynamics for global optimization: the mean-field limit case.(2022) In: TSE Working Papers.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 1		paper
2010Proximal Alternating Minimization and Projection Methods for Nonconvex Problems: An Approach Based on the Kurdyka-Łojasiewicz Inequality In: Mathematics of Operations Research.
[Full Text][Citation analysis]		article81
2011Generic Optimality Conditions for Semialgebraic Convex Programs In: Mathematics of Operations Research.
[Full Text][Citation analysis]		article6
2015Definable Zero-Sum Stochastic Games In: Mathematics of Operations Research.
[Full Text][Citation analysis]		article8
2016Majorization-Minimization Procedures and Convergence of SQP Methods for Semi-Algebraic and Tame Programs In: Mathematics of Operations Research.
[Full Text][Citation analysis]		article6
2017A Descent Lemma Beyond Lipschitz Gradient Continuity: First-Order Methods Revisited and Applications In: Mathematics of Operations Research.
[Full Text][Citation analysis]		article32
2018Nonconvex Lagrangian-Based Optimization: Monitoring Schemes and Global Convergence In: Mathematics of Operations Research.
[Full Text][Citation analysis]		article2
2003Continuous Gradient Projection Method in Hilbert Spaces In: Journal of Optimization Theory and Applications.
[Full Text][Citation analysis]		article7
2019On Linear Convergence of Non-Euclidean Gradient Methods without Strong Convexity and Lipschitz Gradient Continuity In: Journal of Optimization Theory and Applications.
[Full Text][Citation analysis]		article8
2021Quartic First-Order Methods for Low-Rank Minimization In: Journal of Optimization Theory and Applications.
[Full Text][Citation analysis]		article1
2017A family of functional inequalities: lojasiewicz inequalities and displacement convex functions In: IAST Working Papers.
[Full Text][Citation analysis]		paper0
2017A family of functional inequalities: lojasiewicz inequalities and displacement convex functions.(2017) In: TSE Working Papers.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 0		paper
2019An Inertial Newton Algorithm for Deep Learning In: TSE Working Papers.
[Full Text][Citation analysis]		paper3
2019Conservative set valued fields, automatic differentiation, stochastic gradient methods and deep learning In: TSE Working Papers.
[Full Text][Citation analysis]		paper1
2020Curiosities and counterexamples in smooth convex optimization In: TSE Working Papers.
[Full Text][Citation analysis]		paper1
2020Long term dynamics of the subgradient method for Lipschitz path differentiable functions In: TSE Working Papers.
[Full Text][Citation analysis]		paper0
2021A mathematical model for automatic differentiation in machine learning In: TSE Working Papers.
[Full Text][Citation analysis]		paper1
2021A Hölderian backtracking method for min-max and min-min problems In: TSE Working Papers.
[Full Text][Citation analysis]		paper0
2022The Iterates of the Frank-Wolfe Algorithm May Not Converge In: TSE Working Papers.
[Full Text][Citation analysis]		paper0
2022Subgradient sampling for nonsmooth nonconvex minimization In: TSE Working Papers.
[Full Text][Citation analysis]		paper0
2022Nonsmooth Implicit Differentiation for Machine Learning and Optimization In: TSE Working Papers.
[Full Text][Citation analysis]		paper0
2022Nonsmooth Implicit Differentiation for Machine Learning and Optimization In: TSE Working Papers.
[Full Text][Citation analysis]		paper0

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