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04/03/2023
A Tutorial Introduction to Reinforcement Learning
In this paper, we present a brief survey of Reinforcement Learning (RL),...
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03/28/2023
Convergence of Momentum-Based Heavy Ball Method with Batch Updating and/or Approximate Gradients
In this paper, we study the well-known "Heavy Ball" method for convex an...
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09/15/2022
Estimating large causal polytree skeletons from small samples
We consider the problem of estimating the skeleton of a large causal pol...
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10/08/2019
Deterministic Completion of Rectangular Matrices Using Ramanujan Bigraphs – II: Explicit Constructions and Phase Transitions
Matrix completion is a part of compressed sensing, and refers to determi...
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08/02/2019
Deterministic Completion of Rectangular Matrices Using Asymmetric Ramanujan Graphs
In this paper we study the matrix completion problem: Suppose X ∈R^n_r ×...
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08/09/2018
Compressed Sensing Using Binary Matrices of Nearly Optimal Dimensions
In this paper, we study the problem of compressed sensing using binary m...
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10/22/2017
An Approach to One-Bit Compressed Sensing Based on Probably Approximately Correct Learning Theory
In this paper, the problem of one-bit compressed sensing (OBCS) is formu...
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06/19/2016
Tight Performance Bounds for Compressed Sensing With Group Sparsity
Compressed sensing refers to the recovery of a high-dimensional but spar...
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10/30/2014
Two New Approaches to Compressed Sensing Exhibiting Both Robust Sparse Recovery and the Grouping Effect
In this paper we introduce a new optimization formulation for sparse reg...
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02/24/2014
Machine Learning Methods in the Computational Biology of Cancer
The objectives of this "perspective" paper are to review some recent adv...
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01/26/2014
