Hello! My name is Saurabh Garg and I am a second-year Ph.D. student at Machine Learning Department at CMU where I am advised by Prof. Zachary Lipton and Prof. Siva Balakrishnan. I am broadly interested in building robust and interpretable machine learning systems. Machine learning algorithms are typically developed and evaluated under simplistic assumptions that are often violated in practice. I am interested in understanding the behavior of machine learning models in real-world scenarios and building provable methods to make progress towards relaxing simplifying assumptions in order to make robust and trustworthy models.
Research Interests: Robustness, Distribution Shift, NLP
J. Zico Kolter,
International Conference on Machine Learning (ICML), 2021