Albert S. Berahas
Albert S. Berahas
Postdoctoral Research Fellow, Lehigh University
Verified email at u.northwestern.edu - Homepage
TitleCited byYear
A multi-batch L-BFGS method for machine learning
AS Berahas, J Nocedal, M Takác
Advances in Neural Information Processing Systems, 1055-1063, 2016
452016
An investigation of Newton-sketch and subsampled Newton methods
AS Berahas, R Bollapragada, J Nocedal
arXiv preprint arXiv:1705.06211, 2017
352017
Balancing communication and computation in distributed optimization
A Berahas, R Bollapragada, NS Keskar, E Wei
IEEE Transactions on Automatic Control, 2018
212018
adaqn: An adaptive quasi-newton algorithm for training rnns
NS Keskar, AS Berahas
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2016
202016
Derivative-free optimization of noisy functions via quasi-Newton methods
AS Berahas, RH Byrd, J Nocedal
SIAM Journal on Optimization 29 (2), 965-993, 2019
82019
A robust multi-batch l-bfgs method for machine learning
AS Berahas, M Takáč
arXiv preprint arXiv:1707.08552, 2017
62017
Sparse representation and least squares-based classification in face recognition
M Iliadis, L Spinoulas, AS Berahas, H Wang, AK Katsaggelos
2014 22nd European Signal Processing Conference (EUSIPCO), 526-530, 2014
62014
Quasi-newton methods for deep learning: Forget the past, just sample
AS Berahas, M Jahani, M Takáč
arXiv preprint arXiv:1901.09997, 2019
52019
A Theoretical and Empirical Comparison of Gradient Approximations in Derivative-Free Optimization
AS Berahas, L Cao, K Choromanski, K Scheinberg
arXiv preprint arXiv:1905.01332, 2019
22019
Nested Distributed Gradient Methods with Adaptive Quantized Communication
AS Berahas, C Iakovidou, E Wei
arXiv preprint arXiv:1903.08149, 2019
22019
Multi-model robust error correction for face recognition
M Iliadis, L Spinoulas, AS Berahas, H Wang, AK Katsaggelos
2016 IEEE International Conference on Image Processing (ICIP), 3229-3233, 2016
22016
Global Convergence Rate Analysis of a Generic Line Search Algorithm with Noise
AS Berahas, L Cao, K Scheinberg
arXiv preprint arXiv:1910.04055, 2019
2019
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
2019
Linear interpolation gives better gradients than Gaussian smoothing in derivative-free optimization
AS Berahas, L Cao, K Choromanski, K Scheinberg
arXiv preprint arXiv:1905.13043, 2019
2019
Limited-Memory BFGS with Displacement Aggregation
AS Berahas, FE Curtis, B Zhou
arXiv preprint arXiv:1903.03471, 2019
2019
Methods for Large Scale Nonlinear and Stochastic Optimization
AS Berahas
Northwestern University, 2018
2018
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Articles 1–16