Murat A. Erdogdu
Murat A. Erdogdu
Verified email at stanford.edu - Homepage
TitleCited byYear
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
2752015
Convergence rates of sub-sampled Newton methods
MA Erdogdu, A Montanari
Advances in Neural Information Processing Systems, 1090-1098, 2015
112*2015
Estimating lasso risk and noise level
M Bayati, MA Erdogdu, A Montanari
Advances in Neural Information Processing Systems, 944-952, 2013
242013
Accelerating SVRG via second-order information
R Kolte, MA Erdogdu, A Ozgür
Neural Information Processing Systems Workshop on Optimization for Machine …, 2015
152015
Inference in graphical models via semidefinite programming hierarchies
MA Erdogdu, Y Deshpande, A Montanari
Advances in Neural Information Processing Systems, 417-425, 2017
122017
Flexible results for quadratic forms with applications to variance components estimation
LH Dicker, MA Erdogdu
The Annals of Statistics 45 (1), 386-414, 2017
122017
Newton-Stein method: a second order method for GLMs via Stein's Lemma
MA Erdogdu
Advances in Neural Information Processing Systems, 1216-1224, 2015
122015
Robust estimation of neural signals in calcium imaging
H Inan, MA Erdogdu, M Schnitzer
Advances in Neural Information Processing Systems, 2901-2910, 2017
102017
Maximum likelihood for variance estimation in high-dimensional linear models
LH Dicker, MA Erdogdu
Artificial Intelligence and Statistics, 159-167, 2016
102016
Scaled least squares estimator for glms in large-scale problems
MA Erdogdu, LH Dicker, M Bayati
Advances in Neural Information Processing Systems, 3324-3332, 2016
102016
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
102015
Global non-convex optimization with discretized diffusions
MA Erdogdu, L Mackey, O Shamir
Advances in Neural Information Processing Systems, 9671-9680, 2018
82018
Privacy-utility trade-off under continual observation
MA Erdogdu, N Fawaz
2015 IEEE International Symposium on Information Theory (ISIT), 1801-1805, 2015
82015
Newton-stein method: an optimization method for GLMs via Stein's lemma
MA Erdogdu
The Journal of Machine Learning Research 17 (1), 7565-7616, 2016
52016
Convergence Rate of Block-Coordinate Maximization Burer-Monteiro Method for Solving Large SDPs
MA Erdogdu, A Ozdaglar, PA Parrilo, ND Vanli
arXiv preprint arXiv:1807.04428, 2018
32018
Scalable approximations for generalized linear problems
MA Erdogdu, M Bayati, LH Dicker
arXiv preprint arXiv:1611.06686, 2016
32016
Normal Approximation for Stochastic Gradient Descent via Non-Asymptotic Rates of Martingale CLT
A Anastasiou, K Balasubramanian, MA Erdogdu
arXiv preprint arXiv:1904.02130, 2019
12019
Stein's Lemma and Subsampling in Large-scale Optimization
MA Erdogdu
https://erdogdu.github.io/papers/thesis.pdf, 2017
12017
Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond
X Li, D Wu, L Mackey, MA Erdogdu
arXiv preprint arXiv:1906.07868, 2019
2019
Scalable approximations for generalized linear problems
MA Erdogdu, M Bayati, LH Dicker
The Journal of Machine Learning Research 20 (1), 231-275, 2019
2019
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