Projects per year
Fingerprint
Dive into the research topics where Mert Gurbuzbalaban is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Robust Primal-Dual Algorithms for Saddle Point Problems with Applications to Multi-Agent Systems
Gurbuzbalaban, M. (PI)
2/19/21 → …
Project: Research project
-
Collaborative Research: Langevin Markov Chain Monte Carlo Methods for Machine Learning
Gurbuzbalaban, M. (PI)
6/1/21 → 8/31/24
Project: Research project
-
SHF: Small: Communication-Efficient Distributed Algorithms for Machine Learning
Mehri Dehnavi, M. (CoPI) & Gurbuzbalaban, M. (PI)
7/15/18 → 12/31/22
Project: Research project
-
Beyond With-replacement Sampling for Large-Scale Data Analysis and Optimization
Gurbuzbalaban, M. (PI)
7/15/17 → 12/31/20
Project: Research project
-
Heavy-Tail Phenomenon in Decentralized SGD
Gürbüzbalaban, M., Hu, Y., Şimşekli, U., Yuan, K. & Zhu, L., 2025, In: IISE Transactions. 57, 7, p. 788-802 15 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Mean–semideviation–based distributionally robust learning with weakly convex losses: convergence rates and finite-sample guarantees
Zhu, L., Gürbüzbalaban, M. & Ruszczyński, A., 2025, (Accepted/In press) In: Mathematical Programming.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
High Probability and Risk-Averse Guarantees for a Stochastic Accelerated Primal-Dual Method
Laguel, Y., Aybat, N. S. & Gürbüzbalaban, M., 2024, In: Journal of Machine Learning Research. 25Research output: Contribution to journal › Article › peer-review
-
High-probability complexity guarantees for nonconvex minimax problems
Laguel, Y., Syed, Y., Aybat, N. S. & Gürbüzbalaban, M., 2024, In: Advances in Neural Information Processing Systems. 37Research output: Contribution to journal › Conference article › peer-review
-
Penalized Overdamped and Underdamped Langevin Monte Carlo Algorithms for Constrained Sampling
Gürbüzbalaban, M., Hu, Y. & Zhu, L., 2024, In: Journal of Machine Learning Research. 25Research output: Contribution to journal › Article › peer-review
2 Scopus citations