Akinwande, Victor

9 publications

ICLRW 2024 AcceleratedLiNGAM: Learning Causal DAGs at the Speed of GPUs Victor Akinwande, J Zico Kolter

ICLR 2024 Understanding Prompt Engineering May Not Require Rethinking Generalization Victor Akinwande, Yiding Jiang, Dylan Sam, J Zico Kolter

IJCAI 2024 Using Causal Inference to Investigate Contraceptive Discontinuation in Sub-Saharan Africa Victor Akinwande, Megan MacGregor, Celia Cintas, Ehud Karavani, Dennis Wei, Kush R. Varshney, Pablo A. Nepomnaschy

ICMLW 2023 Understanding Prompt Engineering Does Not Require Rethinking Generalization Victor Akinwande, Yiding Jiang, Dylan Sam, J Zico Kolter

ICML 2022 Partial Disentanglement for Domain Adaptation Lingjing Kong, Shaoan Xie, Weiran Yao, Yujia Zheng, Guangyi Chen, Petar Stojanov, Victor Akinwande, Kun Zhang

IJCAI 2020 Decision Platform for Pattern Discovery and Causal Effect Estimation in Contraceptive Discontinuation Celia Cintas, Ramya Raghavendra, Victor Akinwande, Aisha Walcott-Bryant, Charity Wayua, Komminist Weldemariam

ICLR 2020 Deep Mining: Detecting Anomalous Patterns in Neural Network Activations with Subset Scanning Skyler Speakman, Celia Cintas, Victor Akinwande, Srihari Sridharan, Edward McFowland Iii

IJCAI 2020 Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error Celia Cintas, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan, Edward McFowland

IJCAI 2020 Inspection of Blackbox Models for Evaluating Vulnerability in Maternal, Newborn, and Child Health William Ogallo, Skyler Speakman, Victor Akinwande, Kush R. Varshney, Aisha Walcott-Bryant, Charity Wayua, Komminist Weldemariam