Using distance on the Riemannian manifold to compare representations in brain and in models. - Mahdiyar Shahbazi; Ali Shirali; Hamid Aghajan 001; Hamed Nili (NeuroImage, 2021)

Sequential Nature of Recommender Systems Disrupts the Evaluation Process. - Ali Shirali (BIAS, 2022)

On the Effect of Triadic Closure on Network Segregation. - Rediet Abebe; Nicole Immorlica; Jon M. Kleinberg; Brendan Lucier; Ali Shirali (EC, 2022)

A Theory of Dynamic Benchmarks. - Ali Shirali; Rediet Abebe; Moritz Hardt (ICLR, 2023)

Pruning the Way to Reliable Policies: A Multi-Objective Deep Q-Learning Approach to Critical Care. - Ali Shirali; Alexander Schubert; Ahmed M. Alaa (CoRR, 2023)

Participatory Objective Design via Preference Elicitation. - Ali Shirali; Jessie Finocchiaro; Rediet Abebe (FAccT, 2024)

Allocation Requires Prediction Only if Inequality Is Low. - Ali Shirali; Rediet Abebe; Moritz Hardt (ICML, 2024)

Collective Counterfactual Explanations via Optimal Transport. - Ahmad-Reza Ehyaei; Ali Shirali; Samira Samadi (CoRR, 2024)

Collaborative filtering with representation learning in the frequency domain. - Ali Shirali; Reza Kazemi; Arash Amini (Inf. Sci., 2024)

Pruning the Way to Reliable Policies: A Multi-Objective Deep Q-Learning Approach to Critical Care. - Ali Shirali; Alexander Schubert; Ahmed Alaa (IEEE J. Biomed. Health Informatics, 2024)

The Hidden Cost of Waiting for Accurate Predictions. - Ali Shirali; Ariel D. Procaccia; Rediet Abebe (ICLR, 2025)

What Makes ImageNet Look Unlike LAION. - Ali Shirali; Moritz Hardt (Trans. Mach. Learn. Res., 2025)

Direct Alignment with Heterogeneous Preferences. - Ali Shirali; Arash Nasr-Esfahany; Abdullah Alomar; Parsa Mirtaheri; Rediet Abebe; Ariel D. Procaccia (CoRR, 2025)