Mert Gurbuzbalaban

Identifiers

• name variant Mert Gurbuzbalaban 0.60 · backfill

Papers (29)

1. High-Order Langevin Monte Carlo Algorithms stat.ML · 2025 · author #2
2. RESIST: Resilient Decentralized Learning Using Consensus Gradient Descent cs.LG · 2025 · author #4
3. Algorithmic Stability of Stochastic Gradient Descent with Momentum under Heavy-Tailed Noise stat.ML · 2025 · author #4
4. Robustly Stable Accelerated Momentum Methods With A Near-Optimal L2 Gain and $H_\infty$ Performance math.OC · 2023 · author #1
5. Accelerated Gradient Methods for Nonconvex Optimization: Escape Trajectories From Strict Saddle Points and Convergence to Local Minima math.OC · 2023 · author #2
6. Uniform-in-Time Wasserstein Stability Bounds for (Noisy) Stochastic Gradient Descent stat.ML · 2023 · author #2
7. Heavy-Tail Phenomenon in Decentralized SGD stat.ML · 2022 · author #1
8. A Variance-Reduced Stochastic Accelerated Primal Dual Algorithm math.OC · 2022 · author #2
9. Boundary Conditions for Linear Exit Time Gradient Trajectories Around Saddle Points: Analysis and Algorithm math.OC · 2021 · author #2
10. Differentially Private Accelerated Optimization Algorithms cs.LG · 2020 · author #3
11. The Heavy-Tail Phenomenon in SGD math.OC · 2020 · author #1
12. Exit Time Analysis for Approximations of Gradient Descent Trajectories Around Saddle Points math.OC · 2020 · author #2
13. Fractional moment-preserving initialization schemes for training deep neural networks cs.LG · 2020 · author #1
14. Non-Convex Optimization via Non-Reversible Stochastic Gradient Langevin Dynamics math.OC · 2020 · author #4
15. Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent Networks math.OC · 2019 · author #2
16. Randomized Gossiping with Effective Resistance Weights: Performance Guarantees and Applications math.OC · 2019 · author #5
17. DAve-QN: A Distributed Averaged Quasi-Newton Method with Local Superlinear Convergence Rate math.OC · 2019 · author #5
18. A Universally Optimal Multistage Accelerated Stochastic Gradient Method math.OC · 2019 · author #3
19. Accelerated Linear Convergence of Stochastic Momentum Methods in Wasserstein Distances stat.ML · 2019 · author #2
20. A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks cs.LG · 2019 · author #3
21. Breaking Reversibility Accelerates Langevin Dynamics for Global Non-Convex Optimization math.OC · 2018 · author #2
22. Robust Accelerated Gradient Methods for Smooth Strongly Convex Functions math.OC · 2018 · author #3
23. Randomness and Permutations in Coordinate Descent Methods math.OC · 2018 · author #1
24. Avoiding Communication in Proximal Methods for Convex Optimization Problems cs.DC · 2017 · author #4
25. Decentralized Computation of Effective Resistances and Acceleration of Consensus Algorithms math.OC · 2017 · author #2
26. Approximating the Real Structured Stability Radius with Frobenius Norm Bounded Perturbations math.OC · 2017 · author #2
27. A Stronger Convergence Result on the Proximal Incremental Aggregated Gradient Method math.OC · 2016 · author #2
28. Global Convergence Rate of Proximal Incremental Aggregated Gradient Methods math.OC · 2016 · author #2
29. On the Convergence Rate of Incremental Aggregated Gradient Algorithms math.OC · 2015 · author #1

Mentions

• 2508.17545 #2 · arxiv_oai · confidence 0.70 Mert Gurbuzbalaban
• 2205.06689 #1 · arxiv_oai · confidence 0.70 Mert Gurbuzbalaban
• 2502.00885 #4 · arxiv_oai · confidence 0.70 Mert Gurbuzbalaban
• 2305.12056 #2 · arxiv_oai · confidence 0.70 Mert Gurbuzbalaban
• 2309.11481 #1 · arxiv_oai · confidence 0.70 Mert Gurbuzbalaban
• 2006.01106 #2 · arxiv_oai · confidence 0.70 Mert Gurbuzbalaban
• 2008.01989 #3 · arxiv_oai · confidence 0.70 Mert Gurbuzbalaban
• 2101.02625 #2 · arxiv_oai · confidence 0.70 Mert Gurbuzbalaban
• 2202.09688 #2 · arxiv_oai · confidence 0.70 Mert Gurbuzbalaban
• 1907.13110 #5 · arxiv_oai · confidence 0.70 Mert Gurbuzbalaban
• 1910.08701 #2 · arxiv_oai · confidence 0.70 Mert Gurbuzbalaban
• 2006.04740 #1 · arxiv_oai · confidence 0.70 Mert Gurbuzbalaban
• 2005.11878 #1 · arxiv_oai · confidence 0.70 Mert Gurbuzbalaban
• 2004.02823 #4 · arxiv_oai · confidence 0.70 Mert Gurbuzbalaban
• 1805.10579 #3 · arxiv_oai · confidence 0.70 Mert Gurbuzbalaban
• 1901.08022 #3 · arxiv_oai · confidence 0.70 Mert Gurbuzbalaban
• 1901.07445 #2 · arxiv_oai · confidence 0.70 Mert Gurbuzbalaban
• 1906.00506 #5 · arxiv_oai · confidence 0.70 Mert Gurbuzbalaban
• 1901.06053 #3 · arxiv_oai · confidence 0.70 Mert Gurbuzbalaban
• 1803.08200 #1 · arxiv_oai · confidence 0.70 Mert Gurbuzbalaban
• 1506.02081 #1 · arxiv_oai · confidence 0.70 Mert Gurbuzbalaban
• 1708.07190 #2 · arxiv_oai · confidence 0.70 Mert Gurbuzbalaban
• 1702.02486 #2 · arxiv_oai · confidence 0.70 Mert Gurbuzbalaban
• 1611.08022 #2 · arxiv_oai · confidence 0.70 Mert Gurbuzbalaban
• 1608.01713 #2 · arxiv_oai · confidence 0.70 Mert Gurbuzbalaban
• 1812.07725 #2 · arxiv_oai · confidence 0.70 Mert Gurbuzbalaban
• 1710.08883 #4 · arxiv_oai · confidence 0.70 Mert Gurbuzbalaban
• 1506.02081 #1 · backfill · confidence 0.70 Mert Gurbuzbalaban

Frequent Coauthors

• Lingjiong Zhu 9 shared papers
• Asuman Ozdaglar 5 shared papers
• Necdet Serhat Aybat 5 shared papers
• Umut Simsekli 5 shared papers
• Rishabh Dixit 4 shared papers
• Waheed U. Bajwa 4 shared papers
• Alireza Fallah 3 shared papers
• Bugra Can 3 shared papers
• Maryam Mehri Dehnavi 3 shared papers
• Nuri Denizcan Vanli 3 shared papers
• Saeed Soori 3 shared papers
• Yuanhan Hu 3 shared papers
• Asu Ozdaglar 2 shared papers
• Thanh Dang 2 shared papers
• Xuefeng Gao 2 shared papers
• Aditya Devarakonda 1 shared papers
• A K M Rokonuzzaman Sonet 1 shared papers
• Anant Raj 1 shared papers
• Aryan Mokhtari 1 shared papers
• Cheng Fang 1 shared papers