Majid Jahani
Majid Jahani
Ph.D. Candidate, Lehigh University
Verified email at lehigh.edu - Homepage
Title
Cited by
Cited by
Year
Alternating maximization: Unifying framework for 8 sparse PCA formulations and efficient parallel codes
P Richtárik, M Jahani, SD Ahipaşaoğlu, M Takáč
arXiv preprint arXiv:1212.4137, 2012
292012
Quasi-newton methods for deep learning: Forget the past, just sample
AS Berahas, M Jahani, M Takáč
arXiv preprint arXiv:1901.09997, 2019
142019
Underestimate sequences via quadratic averaging
C Ma, NVC Gudapati, M Jahani, R Tappenden, M Takáč
arXiv preprint arXiv:1710.03695, 2017
112017
Efficient distributed hessian free algorithm for large-scale empirical risk minimization via accumulating sample strategy
M Jahani, X He, C Ma, A Mokhtari, D Mudigere, A Ribeiro, M Takáč
The 23rd International Conference on Artificial Intelligence and Statistics …, 2020
92020
A novel model for bus stop location appropriate for Public Transit Network Design: The case of Central Business Districts (CBD) of Tehran
M Jahani, HS MEHDI, M Ghatee, M Jahanshahi
INTERNATIONAL JOURNAL OF SMART ELECTRICAL ENGINEERING 2 (3), 133-141, 2013
52013
Scaling up quasi-newton algorithms: Communication efficient distributed sr1
M Jahani, M Nazari, S Rusakov, AS Berahas, M Takáč
arXiv preprint arXiv:1905.13096, 2019
42019
DynNet: Physics-based neural architecture design for linear and nonlinear structural response modeling and prediction
SS Eshkevari, M Takáč, SN Pakzad, M Jahani
arXiv preprint arXiv:2007.01814, 2020
2020
DynNet: Physics-based neural architecture design for linear and nonlinear structural response modeling and prediction
S Sadeghi Eshkevari, M Takáč, SN Pakzad, M Jahani
arXiv e-prints, arXiv: 2007.01814, 2020
2020
SONIA: A Symmetric Blockwise Truncated Optimization Algorithm
M Jahani, M Nazari, R Tappenden, AS Berahas, M Takáč
arXiv preprint arXiv:2006.03949, 2020
2020
Don't Forget Your Teacher: A Corrective Reinforcement Learning Framework
M Nazari, M Jahani, LV Snyder, M Takáč
arXiv preprint arXiv:1905.13562, 2019
2019
Sampled Quasi-Newton Methods for Deep Learning
AS Berahas, M Jahani, M Takác
11th OPT Workshop on Optimization for Machine Learning, 2019
2019
Grow Your Samples and Optimize Better via Distributed Newton CG and Accumulating Strategy.
M Jahani, X He, C Ma, A Mokhtari, D Mudigere, A Ribeiro, M Takáč
NeurIPS 2019, Beyond First Order Methods in Machine Learning Systems Workshop, 2019
2019
Distributed Restarting NewtonCG Method for Large-Scale Empirical Risk Minimization
M Jahani, X He, C Ma, D Mudigere, A Mokhtari, A Ribeiro, M Takac
2017
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Articles 1–13