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Author

Murat A. Erdogdu

Observed names: Erdogdu, Murat, Erdogdu, Murat A, Erdogdu, Murat A., Murat A Erdogdu, Murat Erdogdu
Observed institutions: University of Toronto, University of Cambridge, University of Oxford, Vector Institute, The Alan Turing Institute, Stanford University, University of Edinburgh
ORCID: 0000-0002-4271-8921
Observed ORCID: 0000-0002-4271-8921
OpenAlex ID: A5022491830
SEISMIC
2015 · Qingyuan Zhao, Murat A. Erdogdu, et al. · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 589
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Convergence rates of sub-sampled Newton methods
2015 · Erdogdu, Murat A., Montanari, Andrea · arXiv (Cornell University) · 85
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Fast, scalable, and statistically robust cell extraction from large-scale neural calcium imaging datasets
2021 · Fatih Dinç, Hakan Inan, et al. · bioRxiv (Cold Spring Harbor Laboratory) · 51
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Estimating LASSO Risk and Noise Level
2013 · Mohsen Bayati, Murat A. Erdogdu, et al. · neural information processing systems · 46
Manipulating SGD with Data Ordering Attacks
2021 · Shumailov, Ilia, Shumaylov, Zakhar, et al. · arXiv (Cornell University) · 42
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Generalization of Two-layer Neural Networks: An Asymptotic Viewpoint
2020 · Jimmy Ba, Murat A. Erdogdu, et al. · International Conference on Learning Representations · 33
Robust Estimation of Neural Signals in Calcium Imaging
2017 · Hakan Inan, Murat A. Erdogdu, et al. · neural information processing systems · 27
Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond
2019 · Li, Xuechen, Wu, Denny, et al. · arXiv (Cornell University) · 25
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Flexible results for quadratic forms with applications to variance components estimation
2017 · Lee H. Dicker, Murat A. Erdogdu · The Annals of Statistics · 25
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On the Convergence of Langevin Monte Carlo: The Interplay between Tail Growth and Smoothness
2020 · Erdogdu, Murat A., Hosseinzadeh, Rasa · arXiv (Cornell University) · 24
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Hausdorff dimension, heavy tails, and generalization in neural networks*
2021 · Umut Şimşekli, Ozan Sener, et al. · Journal of Statistical Mechanics Theory and Experiment · 20
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Maximum Likelihood for Variance Estimation in High-Dimensional Linear Models
2016 · Lee H. Dicker, Murat A. Erdogdu · International Conference on Artificial Intelligence and Statistics · 20
Convergence rate of block-coordinate maximization Burer–Monteiro method for solving large SDPs
2021 · Murat A. Erdogdu, Asuman Ozdaglar, et al. · Mathematical Programming · 18
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Global Non-convex Optimization with Discretized Diffusions
2018 · Erdogdu, Murat A., Mackey, Lester, et al. · arXiv (Cornell University) · 18
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Analysis of Langevin Monte Carlo from Poincaré to Log-Sobolev
2024 · Sinho Chewi, Murat A. Erdogdu, et al. · Foundations of Computational Mathematics · 17
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Privacy-utility trade-off under continual observation
2015 · Murat A. Erdogdu, Nadia Fawaz · IEEE International Symposium on Information Theory (ISIT) · 17
An Analysis of Constant Step Size SGD in the Non-convex Regime: Asymptotic Normality and Bias
2020 · Yu, Lu, Balasubramanian, Krishnakumar, et al. · arXiv (Cornell University) · 15
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Inference in Graphical Models via Semidefinite Programming Hierarchies
2017 · Erdogdu, Murat A., Deshpande, Yash, et al. · arXiv (Cornell University) · 15
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Normal Approximation for Stochastic Gradient Descent via Non-Asymptotic Rates of Martingale CLT
2019 · Anastasiou, Andreas, Balasubramanian, Krishnakumar, et al. · arXiv (Cornell University) · 13
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Convergence Rates of Stochastic Gradient Descent under Infinite Noise Variance
2021 · Wang, Hongjian, Gürbüzbalaban, Mert, et al. · HAL (Le Centre pour la Communication Scientifique Directe) · 12
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Privacy-Utility Trade-Off for Time-Series with Application to Smart-Meter Data.
2015 · Murat A. Erdogdu, Nadia Fawaz, et al. · National Conference on Artificial Intelligence · 12
High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation
2022 · Ba, Jimmy, Erdogdu, Murat A., et al. · arXiv (Cornell University) · 11
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Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms
2021 · Camuto, Alexander, Deligiannidis, George, et al. · arXiv (Cornell University) · 11
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Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks
2021 · Barsbey, Melih, Sefidgaran, Milad, et al. · arXiv (Cornell University) · 11
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Scaled Least Squares Estimator for GLMs in Large-Scale Problems
2016 · Murat A. Erdogdu, Lee H. Dicker, et al. · neural information processing systems · 11
Works count: 85
Citation count: 1,347
H-index: 17
I10-index: 27
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