Yamini Bansal
About
Yamini Bansal has authored 3 papers that have received a total of 356 indexed citations.
This includes 3 papers in Artificial Intelligence, 1 paper in Cognitive Neuroscience and 0 papers in Industrial relations. The topics of these papers are Stochastic Gradient Optimization Techniques (3 papers), Machine Learning and Algorithms (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Yamini Bansal is often cited by papers focused on Stochastic Gradient Optimization Techniques (3 papers), Machine Learning and Algorithms (2 papers) and Adversarial Robustness in Machine Learning (2 papers) and collaborates with scholars based in United States. Yamini Bansal's co-authors include Gal Kaplun, Ilya Sutskever, Preetum Nakkiran, Artemy Kolchinsky and Boaz Barak and has published in prestigious journals such as Journal of Statistical Mechanics Theory and Experiment
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