Murat A. Erdogdu

Most-cited papers

SEISMIC: A Self-Exciting Point Process Model for Predicting Tweet Popularity
Qing-Yuan Zhao, Murat A. Erdogdu, Hera Y. He, A. Rajaraman +1 more
2015Knowledge Discovery and Data Mining717 citations Open access
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High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation
J. Ba, Murat A. Erdogdu, Taiji Suzuki, Zhichao Wang +2 more
2022Neural Information Processing Systems177 citations Open access
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Convergence rates of sub-sampled Newton methods
Murat A. Erdogdu, A. Montanari
2015Neural Information Processing Systems167 citations
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Analysis of Langevin Monte Carlo from Poincare to Log-Sobolev
Sinho Chewi, Murat A. Erdogdu, Mufan Bill Li, Ruoqi Shen +1 more
2022Annual Conference Computational Learning Theory133 citations
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Manipulating SGD with Data Ordering Attacks
Ilia Shumailov, Zakhar Shumaylov, Dmitry Kazhdan, Yi-Ren Zhao +3 more
2021Neural Information Processing Systems125 citations
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Global Non-convex Optimization with Discretized Diffusions
Murat A. Erdogdu, L. Mackey, Ohad Shamir
2018Neural Information Processing Systems109 citations
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On the Convergence of Langevin Monte Carlo: The Interplay between Tail Growth and Smoothness
Murat A. Erdogdu, Rasa Hosseinzadeh
2020Annual Conference Computational Learning Theory92 citations
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Towards a Theory of Non-Log-Concave Sampling: First-Order Stationarity Guarantees for Langevin Monte Carlo
K. Balasubramanian, Sinho Chewi, Murat A. Erdogdu, A. Salim +1 more
2022Annual Conference Computational Learning Theory87 citations
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Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond
Xuechen Li, Denny Wu, L. Mackey, Murat A. Erdogdu
2019Neural Information Processing Systems81 citations
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Hausdorff dimension, heavy tails, and generalization in neural networks
Umut Simsekli, Ozan Sener, George Deligiannidis, Murat A. Erdogdu
2020Neural Information Processing Systems80 citations Open access
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Generalization of Two-layer Neural Networks: An Asymptotic Viewpoint
Jimmy Ba, Murat A. Erdogdu, Taiji Suzuki, Denny Wu +1 more
2020International Conference on Learning Representations79 citations
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Neural Networks Efficiently Learn Low-Dimensional Representations with SGD
Alireza Mousavi-Hosseini, Sejun Park, M. Girotti, Ioannis Mitliagkas +1 more
2022International Conference on Learning Representations72 citations Open access
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An Analysis of Constant Step Size SGD in the Non-convex Regime: Asymptotic Normality and Bias
Lu Yu, K. Balasubramanian, S. Volgushev, Murat A. Erdogdu
2020Neural Information Processing Systems67 citations
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Convergence Rates of Stochastic Gradient Descent under Infinite Noise Variance
Hongjian Wang, Mert Gürbüzbalaban, Lingjiong Zhu, Umut Simsekli +1 more
2021Neural Information Processing Systems58 citations
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Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks
Melih Barsbey, Milad Sefidgaran, Murat A. Erdogdu, G. Richard +1 more
2021Neural Information Processing Systems58 citations
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Convergence of Langevin Monte Carlo in Chi-Squared and Rényi Divergence
Murat A. Erdogdu, Rasa Hosseinzadeh, Shun-Shi Zhang
2020International Conference on Artificial Intelligence and Statistics56 citations
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Normal Approximation for Stochastic Gradient Descent via Non-Asymptotic Rates of Martingale CLT
Andreas Anastasiou, K. Balasubramanian, Murat A. Erdogdu
2019Annual Conference Computational Learning Theory53 citations
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Estimating LASSO Risk and Noise Level
M. Bayati, Murat A. Erdogdu, A. Montanari
2013Neural Information Processing Systems53 citations
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Learning in the Presence of Low-dimensional Structure: A Spiked Random Matrix Perspective
J. Ba, Murat A. Erdogdu, Taiji Suzuki, Zhichao Wang +1 more
2023Neural Information Processing Systems47 citations
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Improved Discretization Analysis for Underdamped Langevin Monte Carlo
Matthew Shunshi Zhang, Sinho Chewi, Mufan Bill Li, K. Balasubramanian +1 more
2023Annual Conference Computational Learning Theory46 citations
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Mirror Descent Strikes Again: Optimal Stochastic Convex Optimization under Infinite Noise Variance
Nuri Mert Vural, Lu Yu, K. Balasubramanian, S. Volgushev +1 more
2022Annual Conference Computational Learning Theory45 citations
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Robust Estimation of Neural Signals in Calcium Imaging
Hakan Inan, Murat A. Erdogdu, M. Schnitzer
2017Neural Information Processing Systems41 citations
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On the Ergodicity, Bias and Asymptotic Normality of Randomized Midpoint Sampling Method
Ye He, K. Balasubramanian, Murat A. Erdogdu
2020Neural Information Processing Systems40 citations
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Understanding the Variance Collapse of SVGD in High Dimensions
Jimmy Ba, Murat A. Erdogdu, Marzyeh Ghassemi, Sheng-Yang Sun +3 more
2022International Conference on Learning Representations39 citations
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Gradient-Based Feature Learning under Structured Data
Alireza Mousavi-Hosseini, Denny Wu, Taiji Suzuki, Murat A. Erdogdu
2023Neural Information Processing Systems38 citations Open access
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Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincaré Inequality
Alireza Mousavi-Hosseini, Tyler Farghly, Ye He, K. Balasubramanian +1 more
2023Annual Conference Computational Learning Theory38 citations
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Convergence rate of block-coordinate maximization Burer–Monteiro method for solving large SDPs
Murat A. Erdogdu, A. Ozdaglar, P. Parrilo, N. D. Vanli
2018Mathematical programming37 citations Open access
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Riemannian Langevin Algorithm for Solving Semidefinite Programs
Mufan Bill Li, Murat A. Erdogdu
2020Bernoulli35 citations Open access
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Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms
A. Camuto, George Deligiannidis, Murat A. Erdogdu, Mert Gürbüzbalaban +2 more
2021Neural Information Processing Systems34 citations
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Fast and statistically robust cell extraction from large-scale neural calcium imaging datasets
Hakan Inan, C. Schmuckermair, Tugce Tasci, Biafra O. Ahanonu +6 more
202133 citations
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Inference in Graphical Models via Semidefinite Programming Hierarchies
Murat A. Erdogdu, Y. Deshpande, A. Montanari
2017Neural Information Processing Systems32 citations
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Flexible results for quadratic forms with applications to variance components estimation
Lee H. Dicker, Murat A. Erdogdu
201531 citations Open access
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Effect of Organizational Justice Behaviors on Organizational Silence and Cynicism: A Research on Academics from Schools of Physical Education and Sports.
Murat A. Erdogdu
201827 citations Open access
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Maximum Likelihood for Variance Estimation in High-Dimensional Linear Models
Lee H. Dicker, Murat A. Erdogdu
2016International Conference on Artificial Intelligence and Statistics24 citations
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Learning quadratic neural networks in high dimensions: SGD dynamics and scaling laws
Gérard Ben Arous, Murat A. Erdogdu, Nuri Mert Vural, Denny Wu
2025Neural Information Processing Systems23 citations
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On Empirical Risk Minimization with Dependent and Heavy-Tailed Data
A. Roy, K. Balasubramanian, Murat A. Erdogdu
2021Neural Information Processing Systems23 citations
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Accelerating SVRG via second-order information
R. Kolte, Murat A. Erdogdu
201523 citations
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Privacy-utility trade-off under continual observation
Murat A. Erdogdu, N. Fawaz
2015International Symposium on Information Theory21 citations
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Scaled Least Squares Estimator for GLMs in Large-Scale Problems
Murat A. Erdogdu, Lee H. Dicker, M. Bayati
2016Neural Information Processing Systems19 citations
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Fast, scalable, and statistically robust cell extraction from large-scale neural calcium imaging datasets
Fatih Dinç, Hakan Inan, Oscar Hernandez, C. Schmuckermair +9 more
2024bioRxiv18 citations Open access
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Newton-Stein Method: A Second Order Method for GLMs via Stein's Lemma
Murat A. Erdogdu
2015Neural Information Processing Systems18 citations
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Sampling from the Mean-Field Stationary Distribution
Yunbum Kook, Matthew Shunshi Zhang, Sinho Chewi, Murat A. Erdogdu +1 more
2024Annual Conference Computational Learning Theory16 citations
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Learning Multi-Index Models with Neural Networks via Mean-Field Langevin Dynamics
Alireza Mousavi-Hosseini, Denny Wu, Murat A. Erdogdu
2024International Conference on Learning Representations15 citations
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Privacy-Utility Trade-Off for Time-Series with Application to Smart-Meter Data
Murat A. Erdogdu, N. Fawaz, A. Montanari
2015AAAI Workshop: Computational Sustainability15 citations
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Generalization Bounds for Stochastic Gradient Descent via Localized ε-Covers
Sejun Park, Umut Simsekli, Murat A. Erdogdu
2022Neural Information Processing Systems14 citations Open access
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Newton-Stein Method: An Optimization Method for GLMs via Stein's Lemma
Murat A. Erdogdu
2015Journal of machine learning research13 citations
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Scalable Approximations for Generalized Linear Problems
Murat A. Erdogdu, M. Bayati, Lee H. Dicker
2016Journal of machine learning research11 citations
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Distributional Model Equivalence for Risk-Sensitive Reinforcement Learning
Tyler Kastner, Murat A. Erdogdu, Amir-massoud Farahmand
2023Neural Information Processing Systems9 citations Open access
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Mean-Square Analysis of Discretized Itô Diffusions for Heavy-tailed Sampling
Ye He, Tyler Farghly, K. Balasubramanian, Murat A. Erdogdu
2023Journal of machine learning research8 citations Open access
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Hausdorff Dimension, Stochastic Differential Equations, and Generalization in Neural Networks
Umut Simsekli, Ozan Sener, George Deligiannidis, Murat A. Erdogdu
2020arXiv.org8 citations
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