Rényi Fair Inference S Baharlouei, M Nouiehed, A Beirami, M Razaviyayn International Conference on Learning Representations (ICLR), 2020 | 98 | 2020 |
A Stochastic Optimization Framework for Fair Risk Minimization A Lowy*, S Baharlouei*, R Pavan, M Razaviyayn, A Beirami Transaction on Machine Learning Research (TMLR), 2022 | 32* | 2022 |
When does non-orthogonal tensor decomposition have no spurious local minima? M Sanjabi, S Baharlouei, M Razaviyayn, JD Lee arXiv preprint arXiv:1911.09815, 2019 | 8 | 2019 |
Improving adversarial robustness via joint classification and multiple explicit detection classes S Baharlouei, F Sheikholeslami, M Razaviyayn, Z Kolter International Conference on Artificial Intelligence and Statistics, 11059-11078, 2023 | 6 | 2023 |
RIFLE: Imputation and Robust Inference from Low Order Marginals S Baharlouei, K Ogudu, P Dai, S Suen, M Razaviyayn Transaction on Machine Learning Research, 2023 | 4 | 2023 |
f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization S Baharlouei, S Patel, M Razaviyayn International Conference on Learning Representation (ICLR), 2024 | 3 | 2024 |
Dr. FERMI: A Stochastic Distributionally Robust Fair Empirical Risk Minimization Framework S Baharlouei, M Razaviyayn arXiv preprint arXiv:2309.11682, 2023 | 2 | 2023 |
I-CONVEX: Fast and Accurate de Novo Transcriptome Recovery from Long Reads S Baharlouei, M Razaviyayn, E Tseng, D Tse Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022 | 1 | 2022 |
Scalable Optimization for Trustworthy AI: Robust and Fair Machine Learning S Baharlouei University of Southern California, 2024 | | 2024 |
Feature Selection in the Presence of Monotone Batch Effects P Dai, S Baharlouei, T Tu, BL Stiles, M Razaviyayn, S Suen ICML 2023, The Second Workshop on Spurious Correlations, Invariance and …, 2023 | | 2023 |