Rényi Fair Inference. - Sina Baharlouei; Maher Nouiehed; Meisam Razaviyayn (CoRR, 2019)

When Does Non-Orthogonal Tensor Decomposition Have No Spurious Local Minima? - Maziar Sanjabi; Sina Baharlouei; Meisam Razaviyayn; Jason D. Lee (CoRR, 2019)

Rényi Fair Inference. - Sina Baharlouei; Maher Nouiehed; Ahmad Beirami; Meisam Razaviyayn (ICLR, 2020)

FERMI: Fair Empirical Risk Minimization via Exponential Rényi Mutual Information. - Andrew Lowy; Rakesh Pavan; Sina Baharlouei; Meisam Razaviyayn; Ahmad Beirami (CoRR, 2021)

RIFLE: Robust Inference from Low Order Marginals. - Sina Baharlouei; Kelechi Ogudu; Sze-Chuan Suen; Meisam Razaviyayn (CoRR, 2021)

I-CONVEX: Fast and Accurate de Novo Transcriptome Recovery from Long Reads. - Sina Baharlouei; Meisam Razaviyayn; Elizabeth Tseng; David Tse (PKDD/ECML Workshops (2), 2022)

A Stochastic Optimization Framework for Fair Risk Minimization. - Andrew Lowy; Sina Baharlouei; Rakesh Pavan; Meisam Razaviyayn; Ahmad Beirami (Trans. Mach. Learn. Res., 2022)

Improving Adversarial Robustness via Joint Classification and Multiple Explicit Detection Classes. - Sina Baharlouei; Fatemeh Sheikholeslami; Meisam Razaviyayn; Zico Kolter (AISTATS, 2023)

Dr. FERMI: A Stochastic Distributionally Robust Fair Empirical Risk Minimization Framework. - Sina Baharlouei; Meisam Razaviyayn (CoRR, 2023)

RIFLE: Imputation and Robust Inference from Low Order Marginals. - Sina Baharlouei; Sze-Chuan Suen; Meisam Razaviyayn (Trans. Mach. Learn. Res., 2023)

f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization. - Sina Baharlouei; Shivam Patel; Meisam Razaviyayn (ICLR, 2024)

A Semidefinite Relaxation Approach for Fair Graph Clustering. - Sina Baharlouei; Sadra Sabouri (CoRR, 2024)