A participating seminar on topics of current interest and importance in computer science. Open to both undergraduates and graduate students.
Schaefer School of Engineering & Science
Research & Education
Ph.D. in Computer Science, New York University, 2010.
B.A. Computer Science and Physics, New York University, 2006.
Causal inference and explanation
Big data (specifically time series data)
Experience & Service
Assistant Professor, Dept. of Computer Science, Stevens Institute of Technology 2012 - Present
S. Kleinberg. (2012). Causality, Probability, and Time, Cambridge University Press. (in press).
S. Kleinberg and B. Mishra. (2009). "The Temporal Logic of Causal Structures", Conference on Uncertainty in Artificial Intelligence (UAI).
S. Kleinberg and B. Mishra. (2010). "The Temporal Logic of Token Causes", International Conference on the Principles of Knowledge Repre- sentation and Reasoning (KR).
S. Kleinberg. (2011). "A Logic for Causal Inference in Time Series with Discrete and Continuous Variables", International Joint Conference on Artificial Intelligence (IJCAI).
S. Kleinberg, K. Casey, and B. Mishra. (2007). "Systems Biology via Redescription and Ontologies (I): Finding Phase Changes With Applications to Malaria Temporal Data", Systems and Synthetic Biology, 1 (4), 197-205.
S. Kleinberg and B. Mishra. (2009). "Metamorphosis: the Coming Transformation of Translational Systems Biology", Queue, 7 (9), 40-52.
A. Mitrofanova, S. Kleinberg, J. Carlton, S. Kasif, and B. Mishra. (2010). "redicting Malaria Interactome Classifications from Time-Course Transcriptomic Data along the Intra-Erythrocytic Developmental Cycle", Artificial Intelligence in Medicine, 49 (3), 167-176.
S. Kleinberg and G. Hripcsak. (2011). "A review of causal inference for biomedical informatics", Journal of Biomedical Informatics, 44 (6), 1102-1112.