Majid Jahani
Majid Jahani
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Quasi-Newton methods for machine learning: forget the past, just sample
AS Berahas, M Jahani, P Richtárik, M Takáč
Optimization Methods and Software 37 (5), 1668-1704, 2022
Alternating maximization: Unifying framework for 8 sparse PCA formulations and efficient parallel codes
P Richtárik, M Jahani, SD Ahipaşaoğlu, M Takáč
Optimization and Engineering, 2020
DynNet: Physics-based neural architecture design for nonlinear structural response modeling and prediction
SS Eshkevari, M Takáč, SN Pakzad, M Jahani
Engineering Structures 229, 111582, 2021
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
International Conference on Artificial Intelligence and Statistics, 2634-2644, 2020
Scaling up quasi-newton algorithms: Communication efficient distributed sr1
M Jahani, M Nazari, S Rusakov, AS Berahas, M Takáč
International Conference on Machine Learning, Optimization, and Data Science …, 2020
Doubly Adaptive Scaled Algorithm for Machine Learning Using Second-Order Information
M Jahani, S Rusakov, Z Shi, P Richtárik, MW Mahoney, M Takáč
Tenth International Conference on Learning Representations (ICLR 2022), 2022
Fast and safe: accelerated gradient methods with optimality certificates and underestimate sequences
M Jahani, NVC Gudapati, C Ma, R Tappenden, M Takáč
Computational Optimization and Applications 79, 369-404, 2021
SONIA: A Symmetric Blockwise Truncated Optimization Algorithm
M Jahani, M Nazari, R Tappenden, AS Berahas, M Takáč
International Conference on Artificial Intelligence and Statistics, 487-495, 2021
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
Don't Forget Your Teacher: A Corrective Reinforcement Learning Framework
M Nazari, M Jahani, LV Snyder, M Takáč
arXiv preprint arXiv:1905.13562, 2019
Deep learning model training system
M Jahani, JD Griffin, S Yektamaram, Z Wenwen
US Patent 10,949,747, 2021
Efficient and Scalable Optimization Methods for Training Large-Scale Machine Learning Models
M Jahani
Lehigh University, 2021
Sampled Quasi-Newton Methods for Deep Learning
AS Berahas, M Jahani, M Takác
11th OPT Workshop on Optimization for Machine Learning, 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
Distributed Restarting NewtonCG Method for Large-Scale Empirical Risk Minimization
M Jahani, X He, C Ma, D Mudigere, A Mokhtari, A Ribeiro, M Takac
A minibatch stochastic Quasi-Newton method adapted for nonconvex deep learning problems
JD Griffina, M Jahanib, M Takáčc, S Yektamarama, W Zhoua
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