
BOSS: Bidirectional OneShot Synthesis of Adversarial Examples
The design of additive imperceptible perturbations to the inputs of deep...
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Learning Probabilistic Reward Machines from NonMarkovian Stochastic Reward Processes
The success of reinforcement learning in typical settings is, in part, p...
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Controller Synthesis for OmegaRegular and SteadyState Specifications
Given a Markov decision process (MDP) and a lineartime (ωregular or LT...
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A Multicriteria Approach for Fast and Outlieraware Representative Selection from Manifolds
The problem of representative selection amounts to sampling few informat...
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Rediscovering Deep Neural Networks in FiniteState Distributions
We propose a new way of thinking about deep neural networks, in which th...
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Randomized Robust Matrix Completion for the Community Detection Problem
This paper focuses on the unsupervised clustering of large partially obs...
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A GameTheoretic Framework for the Virtual Machines Migration Timing Problem
In a multitenant cloud, a number of Virtual Machines (VMs) are collocat...
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Data Dropout in Arbitrary Basis for Deep Network Regularization
An important problem in training deep networks with high capacity is to ...
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Subspace Clustering via Optimal Direction Search
This letter presents a new spectralclusteringbased approach to the sub...
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Spatial Random Sampling: A StructurePreserving Data Sketching Tool
Random column sampling is not guaranteed to yield data sketches that pre...
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Low Rank Matrix Recovery with Simultaneous Presence of Outliers and Sparse Corruption
We study a data model in which the data matrix D can be expressed as D =...
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Robust and Scalable Column/Row Sampling from Corrupted Big Data
Conventional sampling techniques fall short of drawing descriptive sketc...
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Coherence Pursuit: Fast, Simple, and Robust Principal Component Analysis
This paper presents a remarkably simple, yet powerful, algorithm termed ...
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Innovation Pursuit: A New Approach to Subspace Clustering
In subspace clustering, a group of data points belonging to a union of s...
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Randomized Robust Subspace Recovery for High Dimensional Data Matrices
This paper explores and analyzes two randomized designs for robust Princ...
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High Dimensional Low Rank plus Sparse Matrix Decomposition
This paper is concerned with the problem of low rank plus sparse matrix ...
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Sparse Signal Processing with Linear and Nonlinear Observations: A Unified ShannonTheoretic Approach
We derive fundamental sample complexity bounds for recovering sparse and...
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