Projects per year
Collaborations and top research areas from the last five years
-
-
Vienna Graduate School on Computational Optimization
Pflug, G., Stelzer, V., Henzinger, M., Bot, R. I., Bomze, I., Schichl, H., Neumaier, A., Raidl, G. R., Scarinci, T., Geiersbach, C., Gabl, M., Böhm, A., Nguyen, D. K., Kimiaei, M., Neumann, S., Djukanovic, M., Horn, M., Glanzer, M., Birghila, C., Brandstätter, G., Luipersbeck, M., Meier, D., Ponleitner, B., Goranci, G., Kahr, M., Klocker, B. & Hungerländer, P.
1/03/16 → 29/02/20
Project: Research funding
-
Alternating proximal-gradient steps for (stochastic) nonconvex-concave minimax problems
Bot, R. I. & Böhm, A., 2023, In: SIAM Journal on Optimization. 33, 3, p. 1884 - 1913 30 p.Publications: Contribution to journal › Article › Peer Reviewed
-
Beyond the Golden Ratio for Variational Inequality Algorithms
Alacaoglu, A., Böhm, A. & Malitskyi, Y., 2023, In: Journal of Machine Learning Research.Publications: Contribution to journal › Article › Peer Reviewed
Open Access -
Two steps at a time -- taking GAN training in stride with Tseng's method
Böhm, A., Sedlmayer, M., Csetnek, E. R. & Bot, R. I., 2022, In: SIAM Journal on Mathematics of Data Science. 4, 2, p. 750-771Publications: Contribution to journal › Article › Peer Reviewed
-
About second-order(ish) methods
Axel Böhm (Speaker)
12 Oct 2022Activity: Talks and presentations › Talk or oral contribution › Science to Science
-
Alternating prox-gradient steps for (stochastic) nonconvex-concave min-max
Axel Böhm (Speaker)
6 Jul 2022Activity: Talks and presentations › Talk or oral contribution › Science to Science
-
Weak Minty solutions in nonconvex-nonconcave min-max
Axel Böhm (Speaker)
27 Jun 2022Activity: Talks and presentations › Talk or oral contribution › Science to Science