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Saba Ahmadi
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2020 – today
- 2024
- [c11]Saba Ahmadi, Avrim Blum, Omar Montasser, Kevin M. Stangl:
Agnostic Multi-Robust Learning using ERM. AISTATS 2024: 2242-2250 - [c10]Saba Ahmadi, Aishwarya Agrawal:
An Examination of the Robustness of Reference-Free Image Captioning Evaluation Metrics. EACL (Findings) 2024: 196-208 - [i14]Saba Ahmadi, Siddharth Bhandari, Avrim Blum, Chen Dan, Prabhav Jain:
Distributional Adversarial Loss. CoRR abs/2406.03458 (2024) - [i13]Saba Ahmadi, Kunhe Yang, Hanrui Zhang:
Strategic Littlestone Dimension: Improved Bounds on Online Strategic Classification. CoRR abs/2407.11619 (2024) - [i12]Rabiul Awal, Saba Ahmadi, Le Zhang, Aishwarya Agrawal:
VisMin: Visual Minimal-Change Understanding. CoRR abs/2407.16772 (2024) - 2023
- [c9]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: 2515-2540 - [c8]Saba Ahmadi, Hedyeh Beyhaghi, Avrim Blum, Keziah Naggita:
Setting Fair Incentives to Maximize Improvement. FORC 2023: 5:1-5:22 - [c7]Saba Ahmadi
, Avrim Blum
Fundamental Bounds on Online Strategic Classification. EC 2023: 22-58 - [i11]Saba Ahmadi, Avrim Blum, Kunhe Yang:
Fundamental Bounds on Online Strategic Classification. CoRR abs/2302.12355 (2023) - [i10]Saba Ahmadi, Avrim Blum, Omar Montasser, Kevin Stangl:
Certifiable (Multi)Robustness Against Patch Attacks Using ERM. CoRR abs/2303.08944 (2023) - [i9]Saba Ahmadi, Aishwarya Agrawal:
An Examination of the Robustness of Reference-Free Image Captioning Evaluation Metrics. CoRR abs/2305.14998 (2023) - 2022
- [c6]Saba Ahmadi, Hedyeh Beyhaghi, Avrim Blum, Keziah Naggita:
On Classification of Strategic Agents Who Can Both Game and Improve. FORC 2022: 3:1-3:22 - [c5]Saba Ahmadi, Pranjal Awasthi, Samir Khuller, Matthäus Kleindessner, Jamie Morgenstern, Pattara Sukprasert, Ali Vakilian
Individual Preference Stability for Clustering. ICML 2022: 197-246 - [i8]Saba Ahmadi, Hedyeh Beyhaghi, Avrim Blum, Keziah Naggita:
On classification of strategic agents who can both game and improve. CoRR abs/2203.00124 (2022) - [i7]Saba Ahmadi, Hedyeh Beyhaghi, Avrim Blum, Keziah Naggita:
Setting Fair Incentives to Maximize Improvement. CoRR abs/2203.00134 (2022) - [i6]Saba Ahmadi, Pranjal Awasthi, Samir Khuller, Matthäus Kleindessner, Jamie Morgenstern, Pattara Sukprasert, Ali Vakilian
Individual Preference Stability for Clustering. CoRR abs/2207.03600 (2022) - [i5]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 abs/2210.07179 (2022) - 2021
- [b1]Saba Ahmadi:
Social Aspects of Algorithms: Fairness, Diversity, and Resilience to Strategic Behavior. University of Maryland, College Park, MD, USA, 2021 - [c4]Saba Ahmadi, Hedyeh Beyhaghi, Avrim Blum, Keziah Naggita:
The Strategic Perceptron. EC 2021: 6-25 - 2020
- [j1]Saba Ahmadi
On Scheduling Coflows. Algorithmica 82(12): 3604-3629 (2020) - [c3]Saba Ahmadi, Faez Ahmed, John P. Dickerson, Mark D. Fuge, Samir Khuller:
An Algorithm for Multi-Attribute Diverse Matching. IJCAI 2020: 3-9 - [i4]Saba Ahmadi, Sainyam Galhotra, Barna Saha, Roy Schwartz:
Fair Correlation Clustering. CoRR abs/2002.03508 (2020) - [i3]Saba Ahmadi, Hedyeh Beyhaghi, Avrim Blum, Keziah Naggita:
The Strategic Perceptron. CoRR abs/2008.01710 (2020)
2010 – 2019
- 2019
- [c2]Saba Ahmadi, Samir Khuller, Barna Saha:
Min-Max Correlation Clustering via MultiCut. IPCO 2019: 13-26 - [i2]Saba Ahmadi, Sainyam Galhotra, Samir Khuller, Barna Saha, Roy Schwartz:
Min-Max Correlation Clustering via MultiCut. CoRR abs/1907.00117 (2019) - [i1]Saba Ahmadi, Faez Ahmed, John P. Dickerson, Mark D. Fuge, Samir Khuller:
Algorithms for Optimal Diverse Matching. CoRR abs/1909.03350 (2019) - 2017
- [c1]Saba Ahmadi, Samir Khuller, Manish Purohit, Sheng Yang:
On Scheduling Coflows - (Extended Abstract). IPCO 2017: 13-24
Coauthor Index
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last updated on 2024-10-07 21:17 CEST by the dblp team
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