Murat A. Erdogdu
Murat A. Erdogdu
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
4052015
Convergence rates of sub-sampled Newton methods
MA Erdogdu, A Montanari
Advances in Neural Information Processing Systems, 1090-1098, 2015
1122015
Convergence rates of active learning for maximum likelihood estimation
K Chaudhuri, SM Kakade, P Netrapalli, S Sanghavi
Advances in Neural Information Processing Systems, 1090-1098, 2015
452015
Estimating lasso risk and noise level
M Bayati, MA Erdogdu, A Montanari
Advances in Neural Information Processing Systems, 944-952, 2013
352013
Global non-convex optimization with discretized diffusions
MA Erdogdu, L Mackey, O Shamir
Advances in Neural Information Processing Systems, 9671-9680, 2018
322018
Flexible results for quadratic forms with applications to variance components estimation
LH Dicker, MA Erdogdu
The Annals of Statistics 45 (1), 386-414, 2017
232017
Accelerating SVRG via second-order information
R Kolte, MA Erdogdu, A Ozgür
Neural Information Processing Systems Workshop on Optimization for Machine …, 2015
192015
Maximum likelihood for variance estimation in high-dimensional linear models
LH Dicker, MA Erdogdu
Artificial Intelligence and Statistics, 159-167, 2016
172016
Stochastic runge-kutta accelerates langevin monte carlo and beyond
X Li, Y Wu, L Mackey, MA Erdogdu
Advances in Neural Information Processing Systems, 7748-7760, 2019
162019
Privacy-Utility Trade-Off for Time-Series with Application to Smart-Meter Data.
MA Erdogdu, N Fawaz, A Montanari
AAAI Workshop: Computational Sustainability, 2015
152015
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
132019
Robust estimation of neural signals in calcium imaging
H Inan, MA Erdogdu, M Schnitzer
Advances in neural information processing systems, 2901-2910, 2017
132017
Inference in graphical models via semidefinite programming hierarchies
MA Erdogdu, Y Deshpande, A Montanari
Advances in Neural Information Processing Systems, 417-425, 2017
132017
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
132016
Newton-Stein method: a second order method for GLMs via Stein's Lemma
MA Erdogdu
Advances in Neural Information Processing Systems, 1216-1224, 2015
132015
Privacy-utility trade-off under continual observation
MA Erdogdu, N Fawaz
2015 IEEE International Symposium on Information Theory (ISIT), 1801-1805, 2015
122015
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
102018
Scalable approximations for generalized linear problems
MA Erdogdu, M Bayati, LH Dicker
The Journal of Machine Learning Research 20 (1), 231-275, 2019
92019
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
82016
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
72019
The system can't perform the operation now. Try again later.
Articles 1–20