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» Santosh Vempala
Santosh Vempala
A Learning Theoretic Framework for Clustering with Similarity Functions
IARCS, the Indian Association for Research in Computing Science
Curriculum Vitae
Visions in Theoretical Computer Science
Random Projection in the Brain and Computation with Assemblies Of
Fair and Diverse Data Representation in Machine Learning
Conference Program
Lipics-ITCS-2018-0.Pdf (0.4
Sampling-Based Algorithms for Dimension Reduction Amit Jayant
Karthekeyan Chandrasekaran
New Approaches to Integer Programming
Submission Data for 2017 CORE Conference Re-Ranking Process
Santosh S. Vempala
Report for the Academic Year 2014–2015
Optimal Estimation of High-Dimensional Gaussian Location Mixtures
A Discriminative Framework for Clustering Via Similarity Functions
Low Rank Approximation of Binary Matrices: Column Subset Selection and Generalizations
The Hidden Hubs Problem
Top View
Matrix Approximation and Projective Clustering Via Volume Sampling
Download This PDF File
Brain Computation: a Computer Science Perspective’ 1
A Learning Theoretic Framework for Clustering with Similarity Functions
Learning to Predict Combinatorial Structures
