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ORCIDMajid Jahani
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2020 – today
- 2022
[j2]Albert S. Berahas
, Majid Jahani, Peter Richtárik, Martin Takác:
Quasi-Newton methods for machine learning: forget the past, just sample. Optim. Methods Softw. 37(5): 1668-1704 (2022)- [c4]Majid Jahani, Sergey Rusakov, Zheng Shi, Peter Richtárik, Michael W. Mahoney, Martin Takác:
Doubly Adaptive Scaled Algorithm for Machine Learning Using Second-Order Information. ICLR 2022 - 2021
- [j1]Majid Jahani, Naga Venkata C. Gudapati, Chenxin Ma, Rachael Tappenden, Martin Takác:
Fast and safe: accelerated gradient methods with optimality certificates and underestimate sequences. Comput. Optim. Appl. 79(2): 369-404 (2021) - [c3]Majid Jahani, MohammadReza Nazari, Rachael Tappenden, Albert S. Berahas, Martin Takác:
SONIA: A Symmetric Blockwise Truncated Optimization Algorithm. AISTATS 2021: 487-495 - [i6]Majid Jahani, Sergey Rusakov, Zheng Shi, Peter Richtárik, Michael W. Mahoney, Martin Takác:
Doubly Adaptive Scaled Algorithm for Machine Learning Using Second-Order Information. CoRR abs/2109.05198 (2021) - 2020
- [c2]Majid Jahani, Xi He, Chenxin Ma, Aryan Mokhtari, Dheevatsa Mudigere, Alejandro Ribeiro, Martin Takác:
Efficient Distributed Hessian Free Algorithm for Large-scale Empirical Risk Minimization via Accumulating Sample Strategy. AISTATS 2020: 2634-2644 - [c1]Majid Jahani, MohammadReza Nazari, Sergey Rusakov, Albert S. Berahas, Martin Takác:
Scaling Up Quasi-newton Algorithms: Communication Efficient Distributed SR1. LOD (1) 2020: 41-54 - [i5]Soheil Sadeghi Eshkevari, Martin Takác, Shamim N. Pakzad, Majid Jahani:
DynNet: Physics-based neural architecture design for linear and nonlinear structural response modeling and prediction. CoRR abs/2007.01814 (2020)
2010 – 2019
- 2019
- [i4]Albert S. Berahas, Majid Jahani, Martin Takác:
Quasi-Newton Methods for Deep Learning: Forget the Past, Just Sample. CoRR abs/1901.09997 (2019) - [i3]MohammadReza Nazari, Majid Jahani, Lawrence V. Snyder, Martin Takác:
Don't Forget Your Teacher: A Corrective Reinforcement Learning Framework. CoRR abs/1905.13562 (2019) - 2018
- [i2]Majid Jahani, Xi He, Chenxin Ma, Aryan Mokhtari, Dheevatsa Mudigere, Alejandro Ribeiro, Martin Takác:
Efficient Distributed Hessian Free Algorithm for Large-scale Empirical Risk Minimization via Accumulating Sample Strategy. CoRR abs/1810.11507 (2018) - 2017
- [i1]Chenxin Ma, Naga Venkata C. Gudapati, Majid Jahani, Rachael Tappenden, Martin Takác:
Underestimate Sequences via Quadratic Averaging. CoRR abs/1710.03695 (2017)
Coauthor Index
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