Dasgupta, Sanjoy - Department of Computer Science and Engineering, University of California at San Diego

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Dasgupta, Sanjoy - Department of Computer Science and Engineering, University of California at San Diego

Analysis of perceptron-based active learning Sanjoy Dasgupta1
A Generalization of Principal Component Analysis to the Exponential Family
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A concentration theorem for projections Sanjoy Dasgupta, Daniel Hsu, and Nakul Verma
Journal of Machine Learning Research 8 (2007) 203-226 Submitted 10/05; Revised 9/06; Published 2/07 A Probabilistic Analysis of EM for Mixtures of Separated, Spherical
How fast is k-means? Sanjoy Dasgupta
Rates of convergence for the cluster tree Kamalika Chaudhuri
On-line estimation with the multivariate Gaussian distribution
An Elementary Proof of a Theorem of Johnson and Lindenstrauss
Performance guarantees for hierarchical Sanjoy Dasgupta
Random projection trees for vector quantization Sanjoy Dasgupta and Yoav Freund
Learning Mixtures of Gaussians Sanjoy Dasgupta
The complexity of approximating the entropy Tugkan Batu
Robust Euclidean Embedding Lawrence Cayton lcayton@cs.ucsd.edu
An iterative improvement procedure for hierarchical clustering
Experiments with Random Projection Sanjoy Dasgupta
Learning the structure of manifolds using random projections Yoav Freund
PAC Generalization Bounds for Cotraining Sanjoy Dasgupta
Performance guarantees for hierarchical Sanjoy Dasgupta
Two faces of active learning Sanjoy Dasgupta
Subspace detection: a robust statistics formulation
Technical Report CS2007-0898 Department of Computer Science and Engineering University of California, San Diego
Coarse sample complexity bounds for active learning Sanjoy Dasgupta
Hierarchical Sampling for Active Learning Sanjoy Dasgupta dasgupta@cs.ucsd.edu
A tree-based regressor that adapts to intrinsic dimension Samory Kpotufea,
Which Spatial Partition Trees are Adaptive to Intrinsic Dimension? Nakul Verma
Importance Weighted Active Learning Alina Beygelzimer beygel@us.ibm.com
Journal of Machine Learning Research 10 (2009) 281-299 Submitted 12/07; 12/08; Published 2/09 Analysis of Perceptron-Based Active Learning
Random projection trees and low dimensional manifolds Sanjoy Dasgupta
A Two-Round Variant of EM for Gaussian Mixtures Sanjoy Dasgupta
A Learning Framework for Nearest Neighbor Search Lawrence Cayton
Analysis of a greedy active learning strategy Sanjoy Dasgupta
Learning Probability Distributions Sanjoy Dasgupta
Learning Polytrees Sanjoy Dasgupta