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 | 1173 | 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 | 1173 | 2016 |
Transverse spectral functions and Dzyaloshinskii-Moriya interactions in spin chains 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 | | |