Majid Jahani - RankMe

12 papers A* 1A 2Journal 8Unranked 1

Year	Rank	Type	Title / Venue / Authors
2022	A*	`conf`	Doubly Adaptive Scaled Algorithm for Machine Learning Using Second-Order Information. ICLR Majid Jahani, Sergey Rusakov, Zheng Shi, Peter Richtárik, Michael W. Mahoney, Martin Takác
2022	J	`jnl`	Quasi-Newton methods for machine learning: forget the past, just sample. Optim. Methods Softw. Albert S. Berahas, Majid Jahani, Peter Richtárik, Martin Takác
2021	J	`jnl`	Doubly Adaptive Scaled Algorithm for Machine Learning Using Second-Order Information. CoRR Majid Jahani, Sergey Rusakov, Zheng Shi, Peter Richtárik, Michael W. Mahoney, Martin Takác
2021	J	`jnl`	Fast and safe: accelerated gradient methods with optimality certificates and underestimate sequences. Comput. Optim. Appl. Majid Jahani, Naga Venkata C. Gudapati, Chenxin Ma, Rachael Tappenden, Martin Takác
2021	A	`conf`	SONIA: A Symmetric Blockwise Truncated Optimization Algorithm. AISTATS Majid Jahani, MohammadReza Nazari, Rachael Tappenden, Albert S. Berahas, Martin Takác
2020	J	`jnl`	DynNet: Physics-based neural architecture design for linear and nonlinear structural response modeling and prediction. CoRR Soheil Sadeghi Eshkevari, Martin Takác, Shamim N. Pakzad, Majid Jahani
2020	A	`conf`	Efficient Distributed Hessian Free Algorithm for Large-scale Empirical Risk Minimization via Accumulating Sample Strategy. AISTATS Majid Jahani, Xi He, Chenxin Ma, Aryan Mokhtari, Dheevatsa Mudigere, Alejandro Ribeiro, Martin Takác
2020	—	`conf`	Scaling Up Quasi-newton Algorithms: Communication Efficient Distributed SR1. LOD (1) Majid Jahani, MohammadReza Nazari, Sergey Rusakov, Albert S. Berahas, Martin Takác
2019	J	`jnl`	Don't Forget Your Teacher: A Corrective Reinforcement Learning Framework. CoRR MohammadReza Nazari, Majid Jahani, Lawrence V. Snyder, Martin Takác
2019	J	`jnl`	Quasi-Newton Methods for Deep Learning: Forget the Past, Just Sample. CoRR Albert S. Berahas, Majid Jahani, Martin Takác
2018	J	`jnl`	Efficient Distributed Hessian Free Algorithm for Large-scale Empirical Risk Minimization via Accumulating Sample Strategy. CoRR Majid Jahani, Xi He, Chenxin Ma, Aryan Mokhtari, Dheevatsa Mudigere, Alejandro Ribeiro, Martin Takác
2017	J	`jnl`	Underestimate Sequences via Quadratic Averaging. CoRR Chenxin Ma, Naga Venkata C. Gudapati, Majid Jahani, Rachael Tappenden, Martin Takác