Linear convergence of gradient and proximal-gradient methods under the polyak-łojasiewicz condition H Karimi, J Nutini, M Schmidt
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2016
1170 2016 Linear convergence of gradient and proximal-gradient methods under the polyak-łojasiewicz condition H Karimi, J Nutini, M Schmidt
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2016
1170 2016 Transverse spectral functions and Dzyaloshinskii-Moriya interactions in H Karimi, I Affleck
Physical Review B 84 (17), 174420, 2011
46 2011 Effective optimization using sample persistence: A case study on quantum annealers and various Monte Carlo optimization methods H Karimi, G Rosenberg, HG Katzgraber
Physical Review E 96 (4), 043312, 2017
39 2017 Towards a rigorous proof of magnetism on the edges of graphene nanoribbons H Karimi, I Affleck
Physical Review B 86 (11), 115446, 2012
37 2012 Boosting quantum annealer performance via sample persistence H Karimi, G Rosenberg
Quantum Information Processing 16 (7), 166, 2017
28 2017 Linear convergence of proximal-gradient methods under the polyak-lojasiewicz condition H Karimi, M Schmidt
arXiv preprint arXiv:1608.04636, 2015
15 2015 Rod separation by sawtooth channel H Karimi, MR Setare, A Moradian
Physical Review E 102 (1), 012610, 2020
2 2020 Quantifying deep learning model uncertainty in conformal prediction H Karimi, R Samavi
Proceedings of the AAAI Symposium Series 1 (1), 142-148, 2023
1 2023 Logarithmic modes of critical gravity in de Sitter space-time MR Setare, H Karimi
arXiv preprint arXiv:1208.4530, 2012
1 2012 DENL: Diverse Ensemble and Noisy Logits for Improved Robustness of Neural Networks M Yazdani, H Karimi, R Samavi
Asian Conference on Machine Learning, 1574-1589, 2024
2024 Structure factors of S= 1/2 spin chains and magnetism at the edges of graphene ribbons H Karimi
University of British Columbia, 2014
2014 Couplings between 11-dimensional supergravity fields and the ABJM multiple m2-brane theory H Karimi
University of British Columbia, 2009
2009 Effective optimization using sample persistence: A case study on quantum annealers and various Monte Carlo optimization methods
