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Murat A. Erdogdu
Murat A. Erdogdu
University of Toronto
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
Seismic: A self-exciting point process model for predicting tweet popularity
Q Zhao, MA Erdogdu, HY He, A Rajaraman, J Leskovec
Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015
6232015
Convergence rates of sub-sampled Newton methods
MA Erdogdu, A Montanari
Advances in Neural Information Processing Systems, 1090-1098, 2015
204*2015
Global non-convex optimization with discretized diffusions
MA Erdogdu, L Mackey, O Shamir
Advances in Neural Information Processing Systems 31, 2018
802018
Estimating lasso risk and noise level
M Bayati, MA Erdogdu, A Montanari
Advances in Neural Information Processing Systems 26, 2013
562013
Generalization of two-layer neural networks: An asymptotic viewpoint
J Ba, M Erdogdu, T Suzuki, D Wu, T Zhang
International conference on learning representations, 2019
502019
Stochastic runge-kutta accelerates langevin monte carlo and beyond
X Li, Y Wu, L Mackey, MA Erdogdu
Advances in neural information processing systems 32, 2019
422019
Flexible results for quadratic forms with applications to variance components estimation
LH Dicker, MA Erdogdu
The Annals of Statistics 45 (1), 386-414, 2017
302017
Maximum likelihood for variance estimation in high-dimensional linear models
LH Dicker, MA Erdogdu
Artificial Intelligence and Statistics, 159-167, 2016
292016
Hausdorff dimension, heavy tails, and generalization in neural networks
U Simsekli, O Sener, G Deligiannidis, MA Erdogdu
Advances in Neural Information Processing Systems, 2020
27*2020
On the convergence of langevin monte carlo: The interplay between tail growth and smoothness
MA Erdogdu, R Hosseinzadeh
Conference on Learning Theory, 1776-1822, 2021
262021
Robust estimation of neural signals in calcium imaging
H Inan, MA Erdogdu, M Schnitzer
Advances in neural information processing systems 30, 2017
252017
Convergence rate of block-coordinate maximization Burer–Monteiro method for solving large SDPs
MA Erdogdu, A Ozdaglar, PA Parrilo, ND Vanli
Mathematical Programming, 1-39, 2021
242021
Accelerating SVRG via second-order information
R Kolte, MA Erdogdu, A Ozgür
Neural Information Processing Systems Workshop on Optimization for Machine …, 2015
242015
Privacy-utility trade-off under continual observation
MA Erdogdu, N Fawaz
2015 IEEE International Symposium on Information Theory (ISIT), 1801-1805, 2015
232015
Privacy-utility trade-off for time-series with application to smart-meter data
MA Erdogdu, N Fawaz, A Montanari
Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
222015
Inference in graphical models via semidefinite programming hierarchies
MA Erdogdu, Y Deshpande, A Montanari
Advances in Neural Information Processing Systems 30, 2017
212017
Normal approximation for stochastic gradient descent via non-asymptotic rates of martingale CLT
A Anastasiou, K Balasubramanian, MA Erdogdu
Conference on Learning Theory, 115-137, 2019
202019
Scaled least squares estimator for glms in large-scale problems
MA Erdogdu, LH Dicker, M Bayati
Advances in Neural Information Processing Systems 29, 2016
192016
Manipulating sgd with data ordering attacks
I Shumailov, Z Shumaylov, D Kazhdan, Y Zhao, N Papernot, MA Erdogdu, ...
Advances in Neural Information Processing Systems 34, 18021-18032, 2021
182021
Newton-Stein method: A second order method for GLMs via Stein's lemma
MA Erdogdu
Advances in Neural Information Processing Systems 28, 2015
162015
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