Majid Jahani

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 12

Top Topics

Machine Learning

Empirical Risk Minimization

Top Venues

Publications

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) (2022)
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)
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) (2021)
Majid Jahani, MohammadReza Nazari, Rachael Tappenden, Albert S. Berahas, Martin Takác
SONIA: A Symmetric Blockwise Truncated Optimization Algorithm. AISTATS (2021)
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 (2021)
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 (2020)
Majid Jahani, MohammadReza Nazari, Sergey Rusakov, Albert S. Berahas, Martin Takác
Scaling Up Quasi-newton Algorithms: Communication Efficient Distributed SR1. LOD (1) (2020)
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)
Albert S. Berahas, Majid Jahani, Martin Takác
Quasi-Newton Methods for Deep Learning: Forget the Past, Just Sample. CoRR (2019)
MohammadReza Nazari, Majid Jahani, Lawrence V. Snyder, Martin Takác
Don't Forget Your Teacher: A Corrective Reinforcement Learning Framework. CoRR (2019)
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 (2018)
Chenxin Ma, Naga Venkata C. Gudapati, Majid Jahani, Rachael Tappenden, Martin Takác
Underestimate Sequences via Quadratic Averaging. CoRR (2017)