Inderjit Dhillon

12 catalog papers. Name-matched publications do not establish a verified researcher identity.

Publications

• PECOS: Prediction for Enormous and Correlated Output Spaces — Journal of Machine Learning Research 2022
• Using Side Information to Reliably Learn Low-Rank Matrices from Missing and Corrupted Observations — Journal of Machine Learning Research 2018
• Memory Efficient Kernel Approximation — Journal of Machine Learning Research 2017
• Cost-Sensitive Learning with Noisy Labels — Journal of Machine Learning Research 2017
• QUIC: Quadratic Approximation for Sparse Inverse Covariance Estimation — Journal of Machine Learning Research 2014
• Prediction and Clustering in Signed Networks: A Local to Global Perspective — Journal of Machine Learning Research 2014
• Metric and Kernel Learning Using a Linear Transformation — Journal of Machine Learning Research 2012
• Low-Rank Kernel Learning with Bregman Matrix Divergences — Journal of Machine Learning Research 2009
• A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation — Journal of Machine Learning Research 2007
• Clustering on the Unit Hypersphere using von Mises-Fisher Distributions — Journal of Machine Learning Research 2005
• Clustering with Bregman Divergences — Journal of Machine Learning Research 2005
• A Divisive Information-Theoretic Feature Clustering Algorithm for Text Classification — Journal of Machine Learning Research 2002