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54 Publications
2020 | Journal Article | IST-REx-ID: 7577
Shehu, Y., & Iyiola, O. S. (2020). Weak convergence for variational inequalities with inertial-type method. Applicable Analysis, 1–25. https://doi.org/10.1080/00036811.2020.1736287
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2019 | Journal Article | IST-REx-ID: 6596 
Shehu, Y. (2019). Convergence results of forward-backward algorithms for sum of monotone operators in Banach spaces. Results in Mathematics, 74(4). https://doi.org/10.1007/s00025-019-1061-4
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2019 | Journal Article | IST-REx-ID: 7412
Achlioptas, D., Iliopoulos, F., & Kolmogorov, V. (2019). A local lemma for focused stochastical algorithms. SIAM Journal on Computing, 48(5), 1583–1602. https://doi.org/10.1137/16m109332x
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| arXiv
2019 | Conference Paper | IST-REx-ID: 6725
Kolmogorov, V. (2019). Testing the complexity of a valued CSP language. In 46th International Colloquium on Automata, Languages and Programming (Vol. 132, p. 77:1-77:12). Patras, Greece: Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPICS.ICALP.2019.77
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| arXiv
2019 | Conference Paper | IST-REx-ID: 7468
Swoboda, P., & Kolmogorov, V. (2019). Map inference via block-coordinate Frank-Wolfe algorithm. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Vol. 2019–June, pp. 11138–11147). Long Beach, CA, United States: IEEE. https://doi.org/10.1109/CVPR.2019.01140
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| arXiv
2019 | Conference Paper | IST-REx-ID: 7639
Rannen-Triki, A., Berman, M., Kolmogorov, V., & Blaschko, M. B. (2019). Function norms for neural networks. In Proceedings of the 2019 International Conference on Computer Vision Workshop (pp. 748–752). Seoul, South Korea: IEEE. https://doi.org/10.1109/ICCVW.2019.00097
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2019 | Journal Article | IST-REx-ID: 6593
Shehu, Y., Li, X.-H., & Dong, Q.-L. (2019). An efficient projection-type method for monotone variational inequalities in Hilbert spaces. Numerical Algorithms, 1–24. https://doi.org/10.1007/s11075-019-00758-y
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2019 | Journal Article | IST-REx-ID: 7161
Shehu, Y., Gibali, A., & Sagratella, S. (2019). Inertial projection-type methods for solving quasi-variational inequalities in real Hilbert spaces. Journal of Optimization Theory and Applications. https://doi.org/10.1007/s10957-019-01616-6
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2019 | Journal Article | IST-REx-ID: 6032
Kazda, A., Kolmogorov, V., & Rolinek, M. (2019). Even delta-matroids and the complexity of planar boolean CSPs. ACM Transactions on Algorithms, 15(2), 22. https://doi.org/10.1145/3230649
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| arXiv
2019 | Journal Article | IST-REx-ID: 7000
Shehu, Y., Iyiola, O. S., Li, X.-H., & Dong, Q.-L. (2019). Convergence analysis of projection method for variational inequalities. Computational and Applied Mathematics, 38(4). https://doi.org/10.1007/s40314-019-0955-9
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2018 | Conference Paper | IST-REx-ID: 193
Alwen, J. F., Gazi, P., Kamath Hosdurg, C., Klein, K., Osang, G. F., Pietrzak, K. Z., … Rybar, M. (2018). On the memory hardness of data independent password hashing functions. In Proceedings of the 2018 on Asia Conference on Computer and Communication Security (pp. 51–65). Incheon, Republic of Korea: ACM. https://doi.org/10.1145/3196494.3196534
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2018 | Conference Paper | IST-REx-ID: 5978
Haller, S., Swoboda, P., & Savchynskyy, B. (2018). Exact MAP-inference by confining combinatorial search with LP relaxation. In Proceedings of the 32st AAAI Conference on Artificial Intelligence (pp. 6581–6588). New Orleans, LU, United States: AAAI.
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2018 | Journal Article | IST-REx-ID: 18
Kolmogorov, V., & Rolinek, M. (2018). Superconcentrators of density 25.3. Ars Combinatoria, 141(10), 269–304.
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| arXiv
2018 | Journal Article | IST-REx-ID: 703
Shekhovtsov, A., Swoboda, P., & Savchynskyy, B. (2018). Maximum persistency via iterative relaxed inference with graphical models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(7), 1668–1682. https://doi.org/10.1109/TPAMI.2017.2730884
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| arXiv
2018 | Journal Article | IST-REx-ID: 5975
Kolmogorov, V. (2018). Commutativity in the algorithmic Lovász local lemma. SIAM Journal on Computing, 47(6), 2029–2056. https://doi.org/10.1137/16m1093306
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| arXiv
2018 | Conference Paper | IST-REx-ID: 273
Mohapatra, P., Rolinek, M., Jawahar, C. V., Kolmogorov, V., & Kumar, M. P. (2018). Efficient optimization for rank-based loss functions. In 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 3693–3701). Salt Lake City, UT, USA: IEEE. https://doi.org/10.1109/cvpr.2018.00389
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| arXiv
2017 | Conference Paper | IST-REx-ID: 915
Swoboda, P., & Andres, B. (2017). A message passing algorithm for the minimum cost multicut problem (Vol. 2017, pp. 4990–4999). Presented at the CVPR: Computer Vision and Pattern Recognition, Honolulu, HA, United States: IEEE. https://doi.org/10.1109/CVPR.2017.530
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2017 | Conference Paper | IST-REx-ID: 1192
Kazda, A., Kolmogorov, V., & Rolinek, M. (2017). Even delta-matroids and the complexity of planar Boolean CSPs (pp. 307–326). Presented at the SODA: Symposium on Discrete Algorithms, Barcelona, Spain: SIAM. https://doi.org/10.1137/1.9781611974782.20
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2017 | Journal Article | IST-REx-ID: 644
Kolmogorov, V., Krokhin, A., & Rolinek, M. (2017). The complexity of general-valued CSPs. SIAM Journal on Computing, 46(3), 1087–1110. https://doi.org/10.1137/16M1091836
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2017 | Conference Paper | IST-REx-ID: 916
Swoboda, P., Rother, C., Abu Alhaija, C., Kainmueller, D., & Savchynskyy, B. (2017). A study of lagrangean decompositions and dual ascent solvers for graph matching (Vol. 2017, pp. 7062–7071). Presented at the CVPR: Computer Vision and Pattern Recognition, Honolulu, HA, United States: IEEE. https://doi.org/10.1109/CVPR.2017.747
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