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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.
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Collaborations and top research areas from the last five years
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Robust Primal-Dual Algorithms for Saddle Point Problems with Applications to Multi-Agent Systems
Gurbuzbalaban, M. (PI)
2/19/21 → …
Project: Research project
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Collaborative Research: Langevin Markov Chain Monte Carlo Methods for Machine Learning
Gurbuzbalaban, M. (PI)
6/1/21 → 5/31/24
Project: Research project
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SHF: Small: Communication-Efficient Distributed Algorithms for Machine Learning
Gurbuzbalaban, M. (PI) & Mehri Dehnavi, M. M. M. (CoPI)
7/15/18 → 12/31/22
Project: Research
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Beyond With-replacement Sampling for Large-Scale Data Analysis and Optimization
Gurbuzbalaban, M. (PI)
7/15/17 → 12/31/20
Project: Research project
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Heavy-Tail Phenomenon in Decentralized SGD
Gürbüzbalaban, M., Hu, Y., Şimşekli, U., Yuan, K. & Zhu, L., 2024, (Accepted/In press) In: IISE Transactions.Research output: Contribution to journal › Article › peer-review
Open Access -
ROBUST ACCELERATED PRIMAL-DUAL METHODS FOR COMPUTING SADDLE POINTS
Zhang, X., Aybat, N. S. & Gürbüzbalaban, M., 2024, In: SIAM Journal on Optimization. 34, 1, p. 1097-1130 34 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions
Raj, A., Zhu, L., Gürbüzbalaban, M. & Şimşekli, U., 2023, In: Proceedings of Machine Learning Research. 202, p. 28578-28597 20 p.Research output: Contribution to journal › Conference article › peer-review
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Algorithmic Stability of Heavy-Tailed Stochastic Gradient Descent on Least Squares
Raj, A., Barsbey, M., Gürbüzbalaban, M., Zhu, L. & Şimşekli, U., 2023, In: Proceedings of Machine Learning Research. 201, p. 1292-1342 51 p.Research output: Contribution to journal › Conference article › peer-review
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Boundary Conditions for Linear Exit Time Gradient Trajectories Around Saddle Points: Analysis and Algorithm
Dixit, R., Gurbuzbalaban, M. & Bajwa, W. U., Apr 1 2023, In: IEEE Transactions on Information Theory. 69, 4, p. 2556-2602 47 p.Research output: Contribution to journal › Article › peer-review
Open Access