On Scheduling Coflows - (Extended Abstract). - Saba Ahmadi; Samir Khuller; Manish Purohit; Sheng Yang 005 (IPCO, 2017)

Min-Max Correlation Clustering via MultiCut. - Saba Ahmadi; Samir Khuller; Barna Saha (IPCO, 2019)

Min-Max Correlation Clustering via MultiCut. - Saba Ahmadi; Sainyam Galhotra; Samir Khuller; Barna Saha; Roy Schwartz 002 (CoRR, 2019)

Algorithms for Optimal Diverse Matching. - Saba Ahmadi; Faez Ahmed; John P. Dickerson; Mark D. Fuge; Samir Khuller (CoRR, 2019)

An Algorithm for Multi-Attribute Diverse Matching. - Saba Ahmadi; Faez Ahmed; John P. Dickerson; Mark D. Fuge; Samir Khuller (IJCAI, 2020)

On Scheduling Coflows. - Saba Ahmadi; Samir Khuller; Manish Purohit; Sheng Yang 005 (Algorithmica, 2020)

Fair Correlation Clustering. - Saba Ahmadi; Sainyam Galhotra; Barna Saha; Roy Schwartz 002 (CoRR, 2020)

The Strategic Perceptron. - Saba Ahmadi; Hedyeh Beyhaghi; Avrim Blum; Keziah Naggita (EC, 2021)

Social Aspects of Algorithms: Fairness, Diversity, and Resilience to Strategic Behavior. - Saba Ahmadi (2021)

On Classification of Strategic Agents Who Can Both Game and Improve. - Saba Ahmadi; Hedyeh Beyhaghi; Avrim Blum; Keziah Naggita (FORC, 2022)

Individual Preference Stability for Clustering. - Saba Ahmadi; Pranjal Awasthi; Samir Khuller; Matthäus Kleindessner; Jamie Morgenstern; Pattara Sukprasert; Ali Vakilian (ICML, 2022)

MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting. - Oscar Mañas; Pau Rodríguez López; Saba Ahmadi; Aida Nematzadeh; Yash Goyal; Aishwarya Agrawal (EACL, 2023)

Setting Fair Incentives to Maximize Improvement. - Saba Ahmadi; Hedyeh Beyhaghi; Avrim Blum; Keziah Naggita (FORC, 2023)

Fundamental Bounds on Online Strategic Classification. - Saba Ahmadi; Avrim Blum; Kunhe Yang (EC, 2023)

Certifiable (Multi)Robustness Against Patch Attacks Using ERM. - Saba Ahmadi; Avrim Blum; Omar Montasser; Kevin Stangl (CoRR, 2023)

Agnostic Multi-Robust Learning using ERM. - Saba Ahmadi; Avrim Blum; Omar Montasser; Kevin M. Stangl (AISTATS, 2024)

An Examination of the Robustness of Reference-Free Image Captioning Evaluation Metrics. - Saba Ahmadi; Aishwarya Agrawal (EACL (Findings), 2024)

Strategic Littlestone Dimension: Improved Bounds on Online Strategic Classification. - Saba Ahmadi; Kunhe Yang; Hanrui Zhang 001 (NeurIPS, 2024)

VisMin: Visual Minimal-Change Understanding. - Rabiul Awal; Saba Ahmadi; Le Zhang 012; Aishwarya Agrawal (NeurIPS, 2024)

Replicable Online Learning. - Saba Ahmadi; Siddharth Bhandari; Avrim Blum (CoRR, 2024)

Distributional Adversarial Loss. - Saba Ahmadi; Siddharth Bhandari; Avrim Blum; Chen Dan 001; Prabhav Jain (AISTATS, 2025)

Strategic Filtering for Content Moderation: Free Speech or Free of Distortion? - Saba Ahmadi; Avrim Blum; Haifeng Xu; Fan Yao (CoRR, 2025)

The Promise of RL for Autoregressive Image Editing. - Saba Ahmadi; Rabiul Awal; Ankur Sikarwar; Amirhossein Kazemnejad; Ge Ya Luo; Juan A. Rodríguez; Sai Rajeswar; Siva Reddy; Christopher Pal; Benno Krojer; Aishwarya Agrawal (CoRR, 2025)