CAREER: Combinatorial Online Learning and its Applications

Funded by: National Science Foundation (NSF)
Duration: April 1, 2010 - March 31, 2015 (Estimated)
NSF Award 0953274

Principal Investigator:
Arindam Banerjee

Graduate Research Assistants:
Puja Das
Huahua Wang

Publications

• Online L1-Dictionary Learning with Application to Novel Document Detection
  S. Kasiviswanathan, H. Wang, A. Banerjee, P. Melville
  Advances in Neural Information Processing Systems (NIPS), 2012 (pdf, longer version).
  
  
• Online Alternating Direction Method
  H. Wang and A. Banerjee.
  International Conference on Machine Learning (ICML), 2012 (pdf).
  
  
• MAP Inference on Million Node Graphical Models: KL-divergence based Alternating Directions Method
  Qiang Fu, Huahua Wang, Arindam Banerjee, Stefan Liess, and Peter K. Snyder
  Technical Report TR-12-007
  Department of Computer Science & Engineering, University of Minnesota, Twin Cities, 2012 (pdf).
  
  
• Online Quadratically Constrained Convex Optimization with Applications to Risk Adjusted Portfolio Selection
  P. Das and A. Banerjee.
  Technical Report, TR-12-008, Dept of Computer Science & Engineering, University of Minnesota, Twin Cities, 2012 (pdf).
  
  
• Diagnosing Adenocarcinoma of the Prostate by Computer Vision Methods
  R. Sivalingam, G. Somasundaram, Xinyan Li, A. Banerjee, V. Morellas, N. Papanikolopoulos, and A. Truskinovsky.
  Annual Meeting of the United States & Canadian Academy of Pathology (USCAP), 2012.
  
  
• Emerging Topic Detection using Dictionary Learning
  S. Kasiviswanathan, P. Melville, A. Banerjee, and V. Sindhwani.
  ACM Conference on Information and Knowledge Management (CIKM), 2011 (pdf).
  
  
• Meta Optimization and its Application to Portfolio Selection
  P. Das and A. Banerjee.
  International Conference on Knowledge Discovery and Data Mining (KDD), 2011 (pdf).
  
  
• Diagnosing Endometrial Carcinoma via Computer-Assisted Image Analysis
  R. Sivalingam, G. Somasundaram, A. Ragipindi, A. Banerjee, V. Morellas, N. Papanikolopoulos, and A. Truskinovsky.
  Annual Meeting of the United States & Canadian Academy of Pathology (USCAP), 2011.
  
  
• Meta Algorithms for Portfolio Selection
  P. Das and A. Banerjee.
  Technical Report, TR-10-022, Dept of Computer Science & Engineering, University of Minnesota, Twin Cities, 2010 (pdf).
  
  

Related Earlier Publications

• On Bayesian Bounds
  A. Banerjee.
  International Conference on Machine Learning (ICML) (2006) (pdf).