
Identifying LowDimensional Structures in Markov Chains: A Nonnegative Matrix Factorization Approach
A variety of queries about stochastic systems boil down to study of Mark...
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StochasticGreedy++: Closing the Optimality Gap in Exact Weak Submodular Maximization
Many problems in discrete optimization can be formulated as the task of ...
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Evolutionary SelfExpressive Models for Subspace Clustering
The problem of organizing data that evolves over time into clusters is e...
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Sampling and Reconstruction of Graph Signals via Weak Submodularity and Semidefinite Relaxation
We study the problem of sampling a bandlimited graph signal in the prese...
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Accelerated Sparse Subspace Clustering
Stateoftheart algorithms for sparse subspace clustering perform spect...
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Sparse recovery via Orthogonal LeastSquares under presence of Noise
We consider the Orthogonal LeastSquares (OLS) algorithm for the recover...
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Sampling Requirements and Accelerated Schemes for Sparse Linear Regression with Orthogonal LeastSquares
The Orthogonal Least Squares (OLS) algorithm sequentially selects column...
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Sparse Linear Regression via Generalized Orthogonal LeastSquares
Sparse linear regression, which entails finding a sparse solution to an ...
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Abolfazl Hashemi
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