Pradeep Ravikumar

Pradeep Ravikumar is a Professor in the Machine Learning Department at Carnegie Mellon University's School of Computer Science. His research focuses on foundational aspects of statistical machine learning, particularly on developing explainable, robust, and resilient machine learning systems that perform well under resource constraints and distribution shifts. He previously served as Associate Director at the Center for Big Data Analytics at the University of Texas at Austin.

Research Interests:

• Explainable AI
• Adversarial robustness
• Structured learning
• Distribution shift resilience
• Resource-constrained ML

Scientific Awards:

• Sloan Fellow
• Siebel Scholar
• NSF CAREER Award
• ACM SIGKDD Dissertation Award honorable mention
• CMU School of Computer Science Distinguished Dissertation award honorable mention

He has served as Program Chair for AISTATS 2013 and holds editorial roles as Associate Editor-in-Chief for IEEE TPAMI, and action editor for Machine Learning Journal and JMLR. Recent work demonstrates novel approaches to ensemble learning through margin-boosting games and improved cross-entropy loss functions.