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Paper Citation Record · LEDGER

Complexities of Armijo-like algorithms in Deep Learning context

As of 22 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 0 inbound Pith citation observations for arXiv:2412.14637.

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pith.paper-citation-record.v1
2412.14637 v1

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measured 69 of 69 reference resolution

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Outbound references

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Complexities of Armijo-like algorithms in Deep Learning context Unresolved cited work

Reference 1

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This paper cites SIAM Journal on Optimization 16(2), 531–547 (2005).

Complexities of Armijo-like algorithms in Deep Learning context SIAM Journal on Optimization 16(2), 531–547 (2005)

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This paper cites DOI https://doi.org/10.1007/s10898-022-01164 -w.

Complexities of Armijo-like algorithms in Deep Learning context DOI https://doi.org/10.1007/s10898-022-01164 -w

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This paper cites Pacific Journal of Mathematics 16(1), 1 – 3 (1966).

Complexities of Armijo-like algorithms in Deep Learning context Pacific Journal of Mathematics 16(1), 1 – 3 (1966)

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This paper cites Mathematics of Operations Research 35(2), 438–457 (2010).

Complexities of Armijo-like algorithms in Deep Learning context Mathematics of Operations Research 35(2), 438–457 (2010)

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This paper cites Mathematical Programming 137, 36 (2011).

Complexities of Armijo-like algorithms in Deep Learning context Mathematical Programming 137, 36 (2011)

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This paper cites SIAM Journal on Optimization 26 (2015).

Complexities of Armijo-like algorithms in Deep Learning context SIAM Journal on Optimization 26 (2015)

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This paper cites In: Advances in Neural In- formation Processing Systems, vol.

Complexities of Armijo-like algorithms in Deep Learning context In: Advances in Neural In- formation Processing Systems, vol

Reference 8

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Complexities of Armijo-like algorithms in Deep Learning context Mathematical Programming198(1), 195–254 (2022)

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This paper cites Theses, Universit´ e de Bordeaux (2024).

Complexities of Armijo-like algorithms in Deep Learning context Theses, Universit´ e de Bordeaux (2024)

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This paper cites Arxiv (2024).

Complexities of Armijo-like algorithms in Deep Learning context Arxiv (2024)

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This paper cites In: Arxiv (2024).

Complexities of Armijo-like algorithms in Deep Learning context In: Arxiv (2024)

Reference 12

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This paper cites Society for Industrial and Applied Mathematics 17, 1205–1223 (2007).

Complexities of Armijo-like algorithms in Deep Learning context Society for Industrial and Applied Mathematics 17, 1205–1223 (2007)

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Complexities of Armijo-like algorithms in Deep Learning context SIAM Journal on Optimization 18(2), 556–572 (2007)

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Complexities of Armijo-like algorithms in Deep Learning context lecture no tes of EE392o, Stanford Uni- versity, Autumn Quarter 2004 (2003)

Reference 15

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Complexities of Armijo-like algorithms in Deep Learning context DOI https://doi.org/10.1007/s10107-019 -01406-y

Reference 16

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Complexities of Armijo-like algorithms in Deep Learning context In: In- ternational Conference on Machine Learning (ICML) (2017)

Reference 17

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Complexities of Armijo-like algorithms in Deep Learning context SIAM Journal on Optimization 28(2), 1751–1772 (2018)

Reference 18

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Complexities of Armijo-like algorithms in Deep Learning context : Robustness to Un- bounded Smoothness of Generalized SignSGD

Reference 19

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Complexities of Armijo-like algorithms in Deep Learning context In: International Conference on Learning Represen tations (2024)

Reference 20

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Complexities of Armijo-like algorithms in Deep Learning context In: Annual Conference on L earning Theory, vol

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Complexities of Armijo-like algorithms in Deep Learning context In: Proceedings of the 34th International Conference on Machine Learning, ICML’17, vol

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Complexities of Armijo-like algorithms in Deep Learning context In: International Conference on Neural Information Processin g Systems, NIPS ’23

Reference 24

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Complexities of Armijo-like algorithms in Deep Learning context In: International Conference on Neural Information Pro- cessing Systems, NIPS ’23

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Complexities of Armijo-like algorithms in Deep Learning context Zhang and T

Reference 26

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Complexities of Armijo-like algorithms in Deep Learning context J ournal of Inequalities and Applications 2019, 16 (2019)

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Complexities of Armijo-like algorithms in Deep Learning context Mathematical Programming 202, 385 (2023)

Reference 28

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Complexities of Armijo-like algorithms in Deep Learning context SIAM Journal on Optimization 33(4), 3012–3037 (2023)

Reference 29

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Complexities of Armijo-like algorithms in Deep Learning context In: International Conference on Learning Representations (ICLR) (2014)

Reference 30

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Complexities of Armijo-like algorithms in Deep Learning context Physics of Plasmas 27(5), 052,707 (2020)

Reference 31

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Complexities of Armijo-like algorithms in Deep Learning context An- nales de l’Institut Fourier 48(3), 769–783 (1998)

Reference 32

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Complexities of Armijo-like algorithms in Deep Learning context In: Proceedings of the 39th International Conference on Machine Learning, Proceedings of Ma- chine Learning Research , vol

Reference 34

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Complexities of Armijo-like algorithms in Deep Learning context In: Thirty-Seventh Conference on Neural Information Processing Systems (2023)

Reference 35

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Complexities of Armijo-like algorithms in Deep Learning context Unresolved cited work

Reference 36

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This paper cites In: Int ernational Conference on Artificial Intelligence and Statistics, pp.

Complexities of Armijo-like algorithms in Deep Learning context In: Int ernational Conference on Artificial Intelligence and Statistics, pp

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Reference 38

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Complexities of Armijo-like algorithms in Deep Learning context Seminari di Geometria

Reference 39

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This paper cites Annales de l’Institut Fourier 43(5), 1575–1595 (1993).

Complexities of Armijo-like algorithms in Deep Learning context Annales de l’Institut Fourier 43(5), 1575–1595 (1993)

Reference 40

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This paper cites Inter- national journal of information and computing science V olume 6, 566–568 (2019).

Complexities of Armijo-like algorithms in Deep Learning context Inter- national journal of information and computing science V olume 6, 566–568 (2019)

Reference 41

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Reference 42

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Complexities of Armijo-like algorithms in Deep Learning context Unresolved cited work

Reference 43

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Reference 44

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This paper cites Journal of Physics: Conference Series 1237, 022,026 (2019).

Complexities of Armijo-like algorithms in Deep Learning context Journal of Physics: Conference Series 1237, 022,026 (2019)

Reference 45

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This paper cites DOI https://doi.org/10.1007/BF0259294 8.

Complexities of Armijo-like algorithms in Deep Learning context DOI https://doi.org/10.1007/BF0259294 8

Reference 46

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This paper cites Proceedings of the USSR Academy of Sciences 269, 543–547 (1983).

Complexities of Armijo-like algorithms in Deep Learning context Proceedings of the USSR Academy of Sciences 269, 543–547 (1983)

Reference 47

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Complexities of Armijo-like algorithms in Deep Learning context DOI https://doi

Reference 48

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This paper cites Sprin ger New York (2006).

Complexities of Armijo-like algorithms in Deep Learning context Sprin ger New York (2006)

Reference 49

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This paper cites Springer Proceedings in Mathematics and Statis- tics 50 (2013).

Complexities of Armijo-like algorithms in Deep Learning context Springer Proceedings in Mathematics and Statis- tics 50 (2013)

Reference 50

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This paper cites Journal of Optimization Theory and Applicatio ns 177(1), 153–180 (2018).

Complexities of Armijo-like algorithms in Deep Learning context Journal of Optimization Theory and Applicatio ns 177(1), 153–180 (2018)

Reference 51

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Complexities of Armijo-like algorithms in Deep Learning context In: International Conference on International Conf erence on Machine Learning (ICML) (2013)

Reference 52

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This paper cites In: Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Ling uistics: Human Language Technologies, pp.

Complexities of Armijo-like algorithms in Deep Learning context In: Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Ling uistics: Human Language Technologies, pp

Reference 53

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This paper cites USSR Computational Mathematics and Mathematical Physics 4(5), 1–17 (1964).

Complexities of Armijo-like algorithms in Deep Learning context USSR Computational Mathematics and Mathematical Physics 4(5), 1–17 (1964)

Reference 54

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Reference 55

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This paper cites On the Convergence of Adam and Beyond.

Complexities of Armijo-like algorithms in Deep Learning context On the Convergence of Adam and Beyond

Reference 56

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This paper cites IEEE Signal Processing Letters 22(10), 1671–1675 (2015).

Complexities of Armijo-like algorithms in Deep Learning context IEEE Signal Processing Letters 22(10), 1671–1675 (2015)

Reference 57

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Complexities of Armijo-like algorithms in Deep Learning context In: 2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting (AT-AP-RASC), pp

Reference 58

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This paper cites In: Conference on Decision and Control (CDC) (2 022).

Complexities of Armijo-like algorithms in Deep Learning context In: Conference on Decision and Control (CDC) (2 022)

Reference 59

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Complexities of Armijo-like algorithms in Deep Learning context Com- mentationes Mathematicae Universitatis Carolinae 013(1), 45–51 (1972)

Reference 60

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Complexities of Armijo-like algorithms in Deep Learning context Unresolved cited work

Reference 61

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Complexities of Armijo-like algorithms in Deep Learning context COURSERA: Neural networks for machine learning 4(2), 26–31 (2012)

Reference 62

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This paper cites In: Annua l Conference on Learning Theory, vol.

Complexities of Armijo-like algorithms in Deep Learning context In: Annua l Conference on Learning Theory, vol

Reference 63

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This paper cites In: Neural Information Pro cessing Systems (NeurIPS) (2019).

Complexities of Armijo-like algorithms in Deep Learning context In: Neural Information Pro cessing Systems (NeurIPS) (2019)

Reference 64

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This paper cites S IAM Review 11(2), 226–235 (1969).

Complexities of Armijo-like algorithms in Deep Learning context S IAM Review 11(2), 226–235 (1969)

Reference 65

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This paper cites I I: Some Correc- tions.

Complexities of Armijo-like algorithms in Deep Learning context I I: Some Correc- tions

Reference 66

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Reference 67

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Complexities of Armijo-like algorithms in Deep Learning context ADADELTA: An Adaptive Learning Rate Method

Reference 68

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Complexities of Armijo-like algorithms in Deep Learning context In: Neural Information Processing Systems (NeurIPS) (2020)

Reference 69

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Pith citing papers

No inbound Pith citation observations are available.