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ORCIDIbrahim Alabdulmohsin
Person information
- affiliation: Google Research, Zurich, Switzerland
- affiliation (former): King Abdullah University of Science & Technology, Computer, Electrical and Mathematical Sciences & Engineering Division
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2020 – today
- 2022
[i10]Alexander Soen, Ibrahim Alabdulmohsin, Sanmi Koyejo, Yishay Mansour, Nyalleng Moorosi, Richard Nock, Ke Sun, Lexing Xie:
Fair Wrapping for Black-box Predictions. CoRR abs/2201.12947 (2022)- [i9]Jessica Schrouff, Natalie Harris, Oluwasanmi Koyejo, Ibrahim Alabdulmohsin, Eva Schnider, Krista Opsahl-Ong, Alex Brown, Subhrajit Roy, Diana Mincu, Christina Chen, Awa Dieng, Yuan Liu, Vivek Natarajan, Alan Karthikesalingam, Katherine A. Heller, Silvia Chiappa, Alexander D'Amour:
Maintaining fairness across distribution shift: do we have viable solutions for real-world applications? CoRR abs/2202.01034 (2022) - 2021
- [c13]Ibrahim M. Alabdulmohsin, Mario Lucic:
A Near-Optimal Algorithm for Debiasing Trained Machine Learning Models. NeurIPS 2021: 8072-8084 - [i8]Ibrahim M. Alabdulmohsin:
A Generalization of Classical Formulas in Numerical Integration and Series Convergence Acceleration. CoRR abs/2106.07621 (2021) - [i7]Ibrahim M. Alabdulmohsin, Mario Lucic:
A Near-Optimal Algorithm for Debiasing Trained Machine Learning Models. CoRR abs/2106.12887 (2021) - [i6]Ibrahim M. Alabdulmohsin, Larisa Markeeva, Daniel Keysers, Ilya O. Tolstikhin:
A Generalized Lottery Ticket Hypothesis. CoRR abs/2107.06825 (2021) - [i5]Ibrahim M. Alabdulmohsin, Hartmut Maennel, Daniel Keysers:
The Impact of Reinitialization on Generalization in Convolutional Neural Networks. CoRR abs/2109.00267 (2021) - 2020
- [j2]Ibrahim M. Alabdulmohsin:
Towards a Unified Theory of Learning and Information. Entropy 22(4): 438 (2020) - [c12]Hartmut Maennel, Ibrahim M. Alabdulmohsin, Ilya O. Tolstikhin, Robert J. N. Baldock, Olivier Bousquet, Sylvain Gelly, Daniel Keysers:
What Do Neural Networks Learn When Trained With Random Labels? NeurIPS 2020 - [i4]Ibrahim M. Alabdulmohsin:
Fair Classification via Unconstrained Optimization. CoRR abs/2005.14621 (2020) - [i3]Hartmut Maennel, Ibrahim M. Alabdulmohsin, Ilya O. Tolstikhin, Robert J. N. Baldock, Olivier Bousquet, Sylvain Gelly, Daniel Keysers:
What Do Neural Networks Learn When Trained With Random Labels? CoRR abs/2006.10455 (2020)
2010 – 2019
- 2018
- [c11]Ibrahim M. Alabdulmohsin:
Information Theoretic Guarantees for Empirical Risk Minimization with Applications to Model Selection and Large-Scale Optimization. ICML 2018: 149-158 - [c10]Ibrahim M. Alabdulmohsin:
Axiomatic Characterization of AdaBoost and the Multiplicative Weight Update Procedure. ECML/PKDD (1) 2018: 591-604 - 2017
- [c9]Ibrahim M. Alabdulmohsin:
An Information-Theoretic Route from Generalization in Expectation to Generalization in Probability. AISTATS 2017: 92-100 - 2016
- [j1]Ibrahim M. Alabdulmohsin
, Moustapha Cissé, Xin Gao, Xiangliang Zhang:
Large margin classification with indefinite similarities. Mach. Learn. 103(2): 215-237 (2016) - [c8]Ibrahim M. Alabdulmohsin, Yufei Han, Yun Shen, Xiangliang Zhang:
Content-Agnostic Malware Detection in Heterogeneous Malicious Distribution Graph. CIKM 2016: 2395-2400 - [c7]Ibrahim M. Alabdulmohsin, Moustapha Cissé, Xiangliang Zhang:
Is Attribute-Based Zero-Shot Learning an Ill-Posed Strategy? ECML/PKDD (1) 2016: 749-760 - [i2]Ibrahim M. Alabdulmohsin:
Uniform Generalization, Concentration, and Adaptive Learning. CoRR abs/1608.06072 (2016) - 2015
- [c6]Ibrahim M. Alabdulmohsin, Xin Gao, Xiangliang Zhang:
Efficient Active Learning of Halfspaces via Query Synthesis. AAAI 2015: 2483-2489 - [c5]Ibrahim M. Alabdulmohsin:
Algorithmic Stability and Uniform Generalization. NIPS 2015: 19-27 - 2014
- [c4]Ibrahim M. Alabdulmohsin, Xin Gao, Xiangliang Zhang:
Support vector machines with indefinite kernels. ACML 2014 - [c3]Ibrahim M. Alabdulmohsin, Xin Gao, Xiangliang Zhang:
Adding Robustness to Support Vector Machines Against Adversarial Reverse Engineering. CIKM 2014: 231-240 - [c2]Ibrahim M. Alabdulmohsin:
Interference in wireless ad hoc networks with smart antennas. IWCMC 2014: 666-671 - [c1]Ibrahim M. Alabdulmohsin, Amal Hyadi, Laila H. Afify, Basem Shihada:
End-to-end delay analysis in wireless sensor networks with service vacation. WCNC 2014: 2799-2804 - [i1]Ibrahim M. Alabdulmohsin:
A Mathematical Theory of Learning. CoRR abs/1405.1513 (2014)
Coauthor Index
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