Saba Ahmadi

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 26

Top Topics

Correlation Clustering

Hard Constraints

Evaluation Metrics

Top Venues

Publications

Saba Ahmadi, Avrim Blum, Omar Montasser, Kevin M. Stangl
Agnostic Multi-Robust Learning using ERM. AISTATS (2024)
Saba Ahmadi, Siddharth Bhandari, Avrim Blum, Chen Dan, Prabhav Jain
Distributional Adversarial Loss. CoRR (2024)
Rabiul Awal, Saba Ahmadi, Le Zhang, Aishwarya Agrawal
VisMin: Visual Minimal-Change Understanding. CoRR (2024)
Saba Ahmadi, Kunhe Yang, Hanrui Zhang
Strategic Littlestone Dimension: Improved Bounds on Online Strategic Classification. CoRR (2024)
Saba Ahmadi, Aishwarya Agrawal
An Examination of the Robustness of Reference-Free Image Captioning Evaluation Metrics. EACL (Findings) (2024)
Saba Ahmadi, Avrim Blum, Kunhe Yang
Fundamental Bounds on Online Strategic Classification. EC (2023)
Saba Ahmadi, Avrim Blum, Omar Montasser, Kevin Stangl
Certifiable (Multi)Robustness Against Patch Attacks Using ERM. CoRR (2023)
Oscar Mañas, Pau Rodríguez López, Saba Ahmadi, Aida Nematzadeh, Yash Goyal, Aishwarya Agrawal
MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting. EACL (2023)
Saba Ahmadi, Avrim Blum, Kunhe Yang
Fundamental Bounds on Online Strategic Classification. CoRR (2023)
Saba Ahmadi, Aishwarya Agrawal
An Examination of the Robustness of Reference-Free Image Captioning Evaluation Metrics. CoRR (2023)
Saba Ahmadi, Hedyeh Beyhaghi, Avrim Blum, Keziah Naggita
Setting Fair Incentives to Maximize Improvement. FORC (2023)
Saba Ahmadi, Hedyeh Beyhaghi, Avrim Blum, Keziah Naggita
On Classification of Strategic Agents Who Can Both Game and Improve. FORC (2022)
Oscar Mañas, Pau Rodríguez, Saba Ahmadi, Aida Nematzadeh, Yash Goyal, Aishwarya Agrawal
MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting. CoRR (2022)
Saba Ahmadi, Pranjal Awasthi, Samir Khuller, Matthäus Kleindessner, Jamie Morgenstern, Pattara Sukprasert, Ali Vakilian
Individual Preference Stability for Clustering. CoRR (2022)
Saba Ahmadi, Hedyeh Beyhaghi, Avrim Blum, Keziah Naggita
On classification of strategic agents who can both game and improve. CoRR (2022)
Saba Ahmadi, Hedyeh Beyhaghi, Avrim Blum, Keziah Naggita
Setting Fair Incentives to Maximize Improvement. CoRR (2022)
Saba Ahmadi, Pranjal Awasthi, Samir Khuller, Matthäus Kleindessner, Jamie Morgenstern, Pattara Sukprasert, Ali Vakilian
Individual Preference Stability for Clustering. ICML (2022)
Saba Ahmadi, Hedyeh Beyhaghi, Avrim Blum, Keziah Naggita
The Strategic Perceptron. EC (2021)
Saba Ahmadi, Faez Ahmed, John P. Dickerson, Mark D. Fuge, Samir Khuller
An Algorithm for Multi-Attribute Diverse Matching. IJCAI (2020)
Saba Ahmadi, Hedyeh Beyhaghi, Avrim Blum, Keziah Naggita
The Strategic Perceptron. CoRR (2020)
Saba Ahmadi, Samir Khuller, Manish Purohit, Sheng Yang
On Scheduling Coflows. Algorithmica 82 (12) (2020)
Saba Ahmadi, Sainyam Galhotra, Barna Saha, Roy Schwartz
Fair Correlation Clustering. CoRR (2020)
Saba Ahmadi, Sainyam Galhotra, Samir Khuller, Barna Saha, Roy Schwartz
Min-Max Correlation Clustering via MultiCut. CoRR (2019)
Saba Ahmadi, Faez Ahmed, John P. Dickerson, Mark D. Fuge, Samir Khuller
Algorithms for Optimal Diverse Matching. CoRR (2019)
Saba Ahmadi, Samir Khuller, Barna Saha
Min-Max Correlation Clustering via MultiCut. IPCO (2019)
Saba Ahmadi, Samir Khuller, Manish Purohit, Sheng Yang
On Scheduling Coflows - (Extended Abstract). IPCO (2017)