M. Dvorak and S. Nicholson, “Massively winning configurations in the convex grabbing game on the plane,” in Proceedings of the 33rd Canadian Conference on Computational Geometry, Halifax, NS, Canada.
LibreCat: https://research-explorer.ista.ac.at/record/9592
arXiv: 2106.11247

C. Izuchukwu and Y. Shehu, “New inertial projection methods for solving multivalued variational inequality problems beyond monotonicity,” Networks and Spatial Economics, vol. 21, no. 2. Springer Nature, pp. 291–323, 2021.
LibreCat: https://research-explorer.ista.ac.at/record/9234
DOI: 10.1007/s11067-021-09517-w
WoS: 000625002100001

A. Bloch-Hansen, N. Samei, and R. Solis-Oba, “Experimental evaluation of a local search approximation algorithm for the multiway cut problem,” in Conference on Algorithms and Discrete Applied Mathematics, Rupnagar, India, 2021, vol. 12601, pp. 346–358.
LibreCat: https://research-explorer.ista.ac.at/record/9227
DOI: 10.1007/978-3-030-67899-9_28

Y. Shehu, O. S. Iyiola, D. V. Thong, and N. T. C. Van, “An inertial subgradient extragradient algorithm extended to pseudomonotone equilibrium problems,” Mathematical Methods of Operations Research, vol. 93, no. 2. Springer Nature, pp. 213–242, 2021.
LibreCat: https://research-explorer.ista.ac.at/record/8817
DOI: 10.1007/s00186-020-00730-w
WoS: 000590497300001

O. S. Iyiola and Y. Shehu, “New convergence results for inertial Krasnoselskii–Mann iterations in Hilbert spaces with applications,” Results in Mathematics, vol. 76, no. 2. Springer Nature, 2021.
LibreCat: https://research-explorer.ista.ac.at/record/9315
DOI: 10.1007/s00025-021-01381-x
WoS: 000632917700001

Y. Shehu, Q.-L. Dong, L.-L. Liu, and J.-C. Yao, “New strong convergence method for the sum of two maximal monotone operators,” Optimization and Engineering, vol. 22. Springer Nature, pp. 2627–2653, 2021.
LibreCat: https://research-explorer.ista.ac.at/record/8196
DOI: 10.1007/s11081-020-09544-5
WoS: 000559345400001

Y. Shehu and A. Gibali, “New inertial relaxed method for solving split feasibilities,” Optimization Letters, vol. 15. Springer Nature, pp. 2109–2126, 2021.
LibreCat: https://research-explorer.ista.ac.at/record/7925
DOI: 10.1007/s11590-020-01603-1
WoS: 000537342300001

Y. Shehu, X.-H. Li, and Q.-L. Dong, “An efficient projection-type method for monotone variational inequalities in Hilbert spaces,” Numerical Algorithms, vol. 84. Springer Nature, pp. 365–388, 2020.
LibreCat: https://research-explorer.ista.ac.at/record/6593
DOI: 10.1007/s11075-019-00758-y
WoS: 000528979000015

Y. Shehu and O. S. Iyiola, “Projection methods with alternating inertial steps for variational inequalities: Weak and linear convergence,” Applied Numerical Mathematics, vol. 157. Elsevier, pp. 315–337, 2020.
LibreCat: https://research-explorer.ista.ac.at/record/8077
DOI: 10.1016/j.apnum.2020.06.009
WoS: 000564648400018

Y. Shehu, A. Gibali, and S. Sagratella, “Inertial projection-type methods for solving quasi-variational inequalities in real Hilbert spaces,” Journal of Optimization Theory and Applications, vol. 184. Springer Nature, pp. 877–894, 2020.
LibreCat: https://research-explorer.ista.ac.at/record/7161
DOI: 10.1007/s10957-019-01616-6
WoS: 000511805200009

V. Kolmogorov, “Testing the complexity of a valued CSP language,” in 46th International Colloquium on Automata, Languages and Programming, Patras, Greece, 2019, vol. 132, p. 77:1-77:12.
LibreCat: https://research-explorer.ista.ac.at/record/6725
DOI: 10.4230/LIPICS.ICALP.2019.77
arXiv: 1803.02289

Y. Shehu, “Convergence results of forward-backward algorithms for sum of monotone operators in Banach spaces,” Results in Mathematics, vol. 74, no. 4. Springer, 2019.
LibreCat: https://research-explorer.ista.ac.at/record/6596
DOI: 10.1007/s00025-019-1061-4
WoS: 000473237500002
arXiv: 2101.09068

Y. Shehu, O. S. Iyiola, X.-H. Li, and Q.-L. Dong, “Convergence analysis of projection method for variational inequalities,” Computational and Applied Mathematics, vol. 38, no. 4. Springer Nature, 2019.
LibreCat: https://research-explorer.ista.ac.at/record/7000
DOI: 10.1007/s40314-019-0955-9
WoS: 000488973100005
arXiv: 2101.09081

D. Achlioptas, F. Iliopoulos, and V. Kolmogorov, “A local lemma for focused stochastical algorithms,” SIAM Journal on Computing, vol. 48, no. 5. SIAM, pp. 1583–1602, 2019.
LibreCat: https://research-explorer.ista.ac.at/record/7412
DOI: 10.1137/16m109332x
WoS: 000493900200005
arXiv: 1809.01537

P. Swoboda and V. Kolmogorov, “Map inference via block-coordinate Frank-Wolfe algorithm,” in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Long Beach, CA, United States, 2019, vol. 2019–June.
LibreCat: https://research-explorer.ista.ac.at/record/7468
DOI: 10.1109/CVPR.2019.01140
WoS: 000542649304076
arXiv: 1806.05049

A. Rannen-Triki, M. Berman, V. Kolmogorov, and M. B. Blaschko, “Function norms for neural networks,” in Proceedings of the 2019 International Conference on Computer Vision Workshop, Seoul, South Korea, 2019.
LibreCat: https://research-explorer.ista.ac.at/record/7639
DOI: 10.1109/ICCVW.2019.00097
WoS: 000554591600090

A. Shekhovtsov, P. Swoboda, and B. Savchynskyy, “Maximum persistency via iterative relaxed inference with graphical models,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 7. IEEE, pp. 1668–1682, 2018.
LibreCat: https://research-explorer.ista.ac.at/record/703
DOI: 10.1109/TPAMI.2017.2730884
arXiv: 1508.07902

A. Kazda, M. Kozik, R. McKenzie, and M. Moore, “Absorption and directed Jónsson terms,” in Don Pigozzi on Abstract Algebraic Logic, Universal Algebra, and Computer Science, vol. 16, J. Czelakowski, Ed. Cham: Springer Nature, 2018, pp. 203–220.
LibreCat: https://research-explorer.ista.ac.at/record/10864
DOI: 10.1007/978-3-319-74772-9_7
arXiv: 1502.01072

P. Mohapatra, M. Rolinek, C. V. Jawahar, V. Kolmogorov, and M. P. Kumar, “Efficient optimization for rank-based loss functions,” in 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Salt Lake City, UT, USA, 2018, pp. 3693–3701.
LibreCat: https://research-explorer.ista.ac.at/record/273
DOI: 10.1109/cvpr.2018.00389
WoS: 000457843603087
arXiv: 1604.08269

J. F. Alwen et al., “On the memory hardness of data independent password hashing functions,” in Proceedings of the 2018 on Asia Conference on Computer and Communication Security, Incheon, Republic of Korea, 2018, pp. 51–65.
LibreCat: https://research-explorer.ista.ac.at/record/193
DOI: 10.1145/3196494.3196534
WoS: 000516620100005