Weak convergence for variational inequalities with inertial-type method
Y. Shehu, O.S. Iyiola, Applicable Analysis 101 (2022) 192–216.
LibreCat: https://research-explorer.ista.ac.at/record/7577
DOI: 10.1080/00036811.2020.1736287
WoS: 000518364100001
arXiv: 2101.08057

A new notion of commutativity for the algorithmic Lovász Local Lemma
D.G. Harris, F. Iliopoulos, V. Kolmogorov, in:, Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques, Schloss Dagstuhl - Leibniz Zentrum für Informatik, 2021.
LibreCat: https://research-explorer.ista.ac.at/record/10072
DOI: 10.4230/LIPIcs.APPROX/RANDOM.2021.31
arXiv: 2008.05569

One-sided Frank-Wolfe algorithms for saddle problems
V. Kolmogorov, T. Pock, in:, 38th International Conference on Machine Learning, 2021.
LibreCat: https://research-explorer.ista.ac.at/record/10552
arXiv: 2101.12617

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

Reflected three-operator splitting method for monotone inclusion problem
O.S. Iyiola, C.D. Enyi, Y. Shehu, Optimization Methods and Software (2021).
LibreCat: https://research-explorer.ista.ac.at/record/9469
DOI: 10.1080/10556788.2021.1924715
WoS: 000650507600001

New inertial projection methods for solving multivalued variational inequality problems beyond monotonicity
C. Izuchukwu, Y. Shehu, Networks and Spatial Economics 21 (2021) 291–323.
LibreCat: https://research-explorer.ista.ac.at/record/9234
DOI: 10.1007/s11067-021-09517-w
WoS: 000625002100001

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

An inertial subgradient extragradient algorithm extended to pseudomonotone equilibrium problems
Y. Shehu, O.S. Iyiola, D.V. Thong, N.T.C. Van, Mathematical Methods of Operations Research 93 (2021) 213–242.
LibreCat: https://research-explorer.ista.ac.at/record/8817
DOI: 10.1007/s00186-020-00730-w
WoS: 000590497300001

New convergence results for inertial Krasnoselskii–Mann iterations in Hilbert spaces with applications
O.S. Iyiola, Y. Shehu, Results in Mathematics 76 (2021).
LibreCat: https://research-explorer.ista.ac.at/record/9315
DOI: 10.1007/s00025-021-01381-x
WoS: 000632917700001

Convergence analysis of new inertial method for the split common null point problem
F.U. Ogbuisi, Y. Shehu, J.C. Yao, Optimization (2021).
LibreCat: https://research-explorer.ista.ac.at/record/9365
DOI: 10.1080/02331934.2021.1914035
WoS: 000640109300001

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

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

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

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

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

Testing the complexity of a valued CSP language
V. Kolmogorov, in:, 46th International Colloquium on Automata, Languages and Programming, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2019, p. 77:1-77:12.
LibreCat: https://research-explorer.ista.ac.at/record/6725
DOI: 10.4230/LIPICS.ICALP.2019.77
arXiv: 1803.02289

Convergence results of forward-backward algorithms for sum of monotone operators in Banach spaces
Y. Shehu, Results in Mathematics 74 (2019).
LibreCat: https://research-explorer.ista.ac.at/record/6596
DOI: 10.1007/s00025-019-1061-4
WoS: 000473237500002
arXiv: 2101.09068

Convergence analysis of projection method for variational inequalities
Y. Shehu, O.S. Iyiola, X.-H. Li, Q.-L. Dong, Computational and Applied Mathematics 38 (2019).
LibreCat: https://research-explorer.ista.ac.at/record/7000
DOI: 10.1007/s40314-019-0955-9
WoS: 000488973100005
arXiv: 2101.09081

A local lemma for focused stochastical algorithms
D. Achlioptas, F. Iliopoulos, V. Kolmogorov, SIAM Journal on Computing 48 (2019) 1583–1602.
LibreCat: https://research-explorer.ista.ac.at/record/7412
DOI: 10.1137/16m109332x
WoS: 000493900200005
arXiv: 1809.01537

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

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

Maximum persistency via iterative relaxed inference with graphical models
A. Shekhovtsov, P. Swoboda, B. Savchynskyy, IEEE Transactions on Pattern Analysis and Machine Intelligence 40 (2018) 1668–1682.
LibreCat: https://research-explorer.ista.ac.at/record/703
DOI: 10.1109/TPAMI.2017.2730884
arXiv: 1508.07902

Absorption and directed Jónsson terms
A. Kazda, M. Kozik, R. McKenzie, M. Moore, in:, J. Czelakowski (Ed.), Don Pigozzi on Abstract Algebraic Logic, Universal Algebra, and Computer Science, Springer Nature, Cham, 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

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

On the memory hardness of data independent password hashing functions
J.F. Alwen, P. Gazi, C. Kamath Hosdurg, K. Klein, G.F. Osang, K.Z. Pietrzak, L. Reyzin, M. Rolinek, M. Rybar, in:, Proceedings of the 2018 on Asia Conference on Computer and Communication Security, ACM, 2018, pp. 51–65.
LibreCat: https://research-explorer.ista.ac.at/record/193
DOI: 10.1145/3196494.3196534
WoS: 000516620100005

Commutativity in the algorithmic Lovász local lemma
V. Kolmogorov, SIAM Journal on Computing 47 (2018) 2029–2056.
LibreCat: https://research-explorer.ista.ac.at/record/5975
DOI: 10.1137/16m1093306
WoS: 000453785100001
arXiv: 1506.08547

Exact MAP-inference by confining combinatorial search with LP relaxation
S. Haller, P. Swoboda, B. Savchynskyy, in:, Proceedings of the 32st AAAI Conference on Artificial Intelligence, AAAI Press, 2018, pp. 6581–6588.
LibreCat: https://research-explorer.ista.ac.at/record/5978
WoS: 000485488906082
arXiv: 2004.06370

Superconcentrators of density 25.3
V. Kolmogorov, M. Rolinek, Ars Combinatoria 141 (2018) 269–304.
LibreCat: https://research-explorer.ista.ac.at/record/18
WoS: 000446809500022
arXiv: 1405.7828

Even delta-matroids and the complexity of planar boolean CSPs
A. Kazda, V. Kolmogorov, M. Rolinek, ACM Transactions on Algorithms 15 (2018).
LibreCat: https://research-explorer.ista.ac.at/record/6032
DOI: 10.1145/3230649
WoS: 000468036500007
arXiv: 1602.03124

Graph matching problems for GraphFlow – 6D Large Displacement Scene Flow
H. Alhaija, A. Sellent, D. Kondermann, C. Rother, (2018).
LibreCat: https://research-explorer.ista.ac.at/record/5573
DOI: 10.15479/AT:ISTA:82

Graphical model parameter learning by inverse linear programming
V. Trajkovska, P. Swoboda, F. Åström, S. Petra, in:, F. Lauze, Y. Dong, A. Bjorholm Dahl (Eds.), Springer, 2017, pp. 323–334.
LibreCat: https://research-explorer.ista.ac.at/record/641
DOI: 10.1007/978-3-319-58771-4_26

The complexity of general-valued CSPs
V. Kolmogorov, A. Krokhin, M. Rolinek, SIAM Journal on Computing 46 (2017) 1087–1110.
LibreCat: https://research-explorer.ista.ac.at/record/644
DOI: 10.1137/16M1091836

A novel convex relaxation for non binary discrete tomography
J. Kuske, P. Swoboda, S. Petra, in:, F. Lauze, Y. Dong, A. Bjorholm Dahl (Eds.), Springer, 2017, pp. 235–246.
LibreCat: https://research-explorer.ista.ac.at/record/646
DOI: 10.1007/978-3-319-58771-4_19

Complexity of constraint satisfaction
M. Rolinek, Complexity of Constraint Satisfaction, Institute of Science and Technology Austria, 2017.
LibreCat: https://research-explorer.ista.ac.at/record/992
DOI: 10.15479/AT:ISTA:th_815

Even delta-matroids and the complexity of planar Boolean CSPs
A. Kazda, V. Kolmogorov, M. Rolinek, in:, SIAM, 2017, pp. 307–326.
LibreCat: https://research-explorer.ista.ac.at/record/1192
DOI: 10.1137/1.9781611974782.20
WoS: 000426965800020

A study of lagrangean decompositions and dual ascent solvers for graph matching
P. Swoboda, C. Rother, C. Abu Alhaija, D. Kainmueller, B. Savchynskyy, in:, IEEE, 2017, pp. 7062–7071.
LibreCat: https://research-explorer.ista.ac.at/record/916
DOI: 10.1109/CVPR.2017.747
WoS: 000418371407018

A message passing algorithm for the minimum cost multicut problem
P. Swoboda, B. Andres, in:, IEEE, 2017, pp. 4990–4999.
LibreCat: https://research-explorer.ista.ac.at/record/915
DOI: 10.1109/CVPR.2017.530
WoS: 000418371405009

A dual ascent framework for Lagrangean decomposition of combinatorial problems
P. Swoboda, J. Kuske, B. Savchynskyy, in:, IEEE, 2017, pp. 4950–4960.
LibreCat: https://research-explorer.ista.ac.at/record/917
DOI: 10.1109/CVPR.2017.526
WoS: 000418371405005

A faster approximation algorithm for the Gibbs partition function
V. Kolmogorov, in:, Proceedings of the 31st Conference On Learning Theory, ML Research Press, 2017, pp. 228–249.
LibreCat: https://research-explorer.ista.ac.at/record/274
arXiv: 1608.04223

Graph matching problems for annotating C. Elegans
D. Kainmueller, F. Jug, C. Rother, G. Meyers, (2017).
LibreCat: https://research-explorer.ista.ac.at/record/5561
DOI: 10.15479/AT:ISTA:57

On the complexity of scrypt and proofs of space in the parallel random oracle model
J.F. Alwen, B. Chen, C. Kamath Hosdurg, V. Kolmogorov, K.Z. Pietrzak, S. Tessaro, in:, Springer, 2016, pp. 358–387.
LibreCat: https://research-explorer.ista.ac.at/record/1231
DOI: 10.1007/978-3-662-49896-5_13

Deciding absorption
L. Barto, A. Kazda, International Journal of Algebra and Computation 26 (2016) 1033–1060.
LibreCat: https://research-explorer.ista.ac.at/record/1353
DOI: 10.1142/S0218196716500430

Total variation on a tree
V. Kolmogorov, T. Pock, M. Rolinek, SIAM Journal on Imaging Sciences 9 (2016) 605–636.
LibreCat: https://research-explorer.ista.ac.at/record/1377
DOI: 10.1137/15M1010257

CSP for binary conservative relational structures
A. Kazda, Algebra Universalis 75 (2016) 75–84.
LibreCat: https://research-explorer.ista.ac.at/record/1612
DOI: 10.1007/s00012-015-0358-8

Commutativity in the algorithmic Lovasz local lemma
V. Kolmogorov, in:, Proceedings - Annual IEEE Symposium on Foundations of Computer Science, IEEE, 2016.
LibreCat: https://research-explorer.ista.ac.at/record/1193
DOI: 10.1109/FOCS.2016.88
arXiv: 1506.08547

Inference algorithms for pattern-based CRFs on sequence data
V. Kolmogorov, R. Takhanov, Algorithmica 76 (2016) 17–46.
LibreCat: https://research-explorer.ista.ac.at/record/1794
DOI: 10.1007/s00453-015-0017-7
arXiv: 1210.0508

Synthetic discrete tomography problems
P. Swoboda, (2016).
LibreCat: https://research-explorer.ista.ac.at/record/5557
DOI: 10.15479/AT:ISTA:46

Effectiveness of structural restrictions for hybrid CSPs
V. Kolmogorov, M. Rolinek, R. Takhanov, in:, 26th International Symposium, Springer Nature, 2015, pp. 566–577.
LibreCat: https://research-explorer.ista.ac.at/record/1636
DOI: 10.1007/978-3-662-48971-0_48
arXiv: 1504.07067

A new look at reweighted message passing
V. Kolmogorov, IEEE Transactions on Pattern Analysis and Machine Intelligence 37 (2015) 919–930.
LibreCat: https://research-explorer.ista.ac.at/record/1841
DOI: 10.1109/TPAMI.2014.2363465

A multi-plane block-coordinate Frank-Wolfe algorithm for training structural SVMs with a costly max-oracle
N. Shah, V. Kolmogorov, C. Lampert, in:, IEEE, 2015, pp. 2737–2745.
LibreCat: https://research-explorer.ista.ac.at/record/1859
DOI: 10.1109/CVPR.2015.7298890