Projects per year
Collaborations and top research areas from the last five years
-
Nonsmooth Nonconvex Optimization Methods in Acoustics
Bot, R. I. & Balazs, P.
21/06/21 → 20/06/25
Project: Research funding
-
VGSCO: Vienna Graduate School on Computational Optimization
Bot, R. I., Bomze, I., Henzinger, M. & Neumaier, A.
1/03/20 → 31/08/25
Project: Research funding
-
Logistics Decision Support in the Pandemic Crisis
Dörner, K. F., Bomze, I., Bot, R. I. & Kritzinger, S.
1/11/20 → 30/04/22
Project: Research funding
-
On the strong convergence of continuous Newton-like inertial dynamics with Tikhonov regularization for monotone inclusions
Bot, R. I., Csetnek, E. R. & László, S. C., 2024, In: Journal of Mathematical Analysis and Applications. 530, 2, 127689.Publications: Contribution to journal › Article › Peer Reviewed
-
A fast optimistic method for monotone variational inequalities
Sedlmayer, M., Nguyen, D-K. & Bot, R. I., Jul 2023, Proceedings of the 40th International Conference on Machine Learning: PMLR. PMLR, Vol. 202. p. 30406 - 30438Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
Open Access -
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
-
Fast Optimistic Continuous and Discrete Time Methods for Monotone Equations and Convex Optimization Problems
Radu Ioan Bot (Invited speaker)
20 Dec 2023Activity: Talks and presentations › Talk or oral contribution › Science to Science
-
Fast Optimistic Continuous and Discrete Time Methods for Monotone Equations and Convex Optimization Problem
Radu Ioan Bot (Invited speaker)
4 Dec 2023 → 6 Dec 2023Activity: Talks and presentations › Talk or oral contribution › Science to Science
-
Fast Optimistic Methods for Monotone Equations and Convex Optimization Problems
Radu Ioan Bot (Invited speaker)
28 Nov 2023Activity: Talks and presentations › Talk or oral contribution › Science to Science