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11/01/2022
Quickest Change Detection with Leave-one-out Density Estimation
The problem of quickest change detection in a sequence of independent ob...
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10/23/2022
Robust Hypothesis Testing with Moment Constrained Uncertainty Sets
The problem of robust binary hypothesis testing is studied. Under both h...
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07/20/2022
Adaptive Step-Size Methods for Compressed SGD
Compressed Stochastic Gradient Descent (SGD) algorithms have been recent...
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06/20/2022
Multiple Testing Framework for Out-of-Distribution Detection
We study the problem of Out-of-Distribution (OOD) detection, that is, de...
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10/04/2021
Quickest Change Detection with Non-stationary and Composite Post-change Distribution
The problem of quickest detection of a change in the distribution of a s...
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08/25/2021
Non-Parametric Quickest Mean Change Detection
The problem of quickest detection of a change in the mean of a sequence ...
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04/09/2021
Sequential (Quickest) Change Detection: Classical Results and New Directions
Online detection of changes in stochastic systems, referred to as sequen...
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02/17/2021
Robust Mean Estimation in High Dimensions via Global Outlier Pursuit
We study the robust mean estimation problem in high dimensions, where le...
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01/12/2021
Dynamic Spectrum Access using Stochastic Multi-User Bandits
A stochastic multi-user multi-armed bandit framework is used to develop ...
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08/21/2020
Robust Mean Estimation in High Dimensions via â„“_0 Minimization
We study the robust mean estimation problem in high dimensions, where α ...
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07/28/2020
Quickest Detection of Moving Anomalies in Sensor Networks
The problem of sequentially detecting a moving anomaly which affects dif...
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10/24/2019
Information Flow Optimization in Inference Networks
The problem of maximizing the information flow through a sensor network ...
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10/24/2019
Sequential Controlled Sensing for Composite Multihypothesis Testing
The problem of multi-hypothesis testing with controlled sensing of obser...
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10/21/2019
Quickest Detection of Growing Dynamic Anomalies in Networks
The problem of quickest growing dynamic anomaly detection in sensor netw...
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10/21/2019
Multi-User MABs with User Dependent Rewards for Uncoordinated Spectrum Access
Multi-user multi-armed bandits have emerged as a good model for uncoordi...
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10/21/2019
Multi-player Multi-Armed Bandits with non-zero rewards on collisions for uncoordinated spectrum access
In this paper, we study the uncoordinated spectrum access problem using ...
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01/27/2019
Information-Theoretic Understanding of Population Risk Improvement with Model Compression
We show that model compression can improve the population risk of a pre-...
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01/15/2019
Tightening Mutual Information Based Bounds on Generalization Error
A mutual information based upper bound on the generalization error of a ...
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11/19/2018
Model change detection with application to machine learning
Model change detection is studied, in which there are two sets of sample...
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07/16/2018
Quickest Detection of Dynamic Events in Networks
The problem of quickest detection of dynamic events in networks is studi...
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07/02/2018
Multi-User Multi-Armed Bandits for Uncoordinated Spectrum Access
A stochastic multi-user multi-armed bandit framework is used to develop ...
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05/29/2018
Active and Adaptive Sequential learning
A framework is introduced for actively and adaptively solving a sequence...
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01/15/2018
A Semi-Parametric Binning Approach to Quickest Change Detection
The problem of quickest detection of a change in distribution is conside...
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11/06/2017
Quickest Change Detection under Transient Dynamics: Theory and Asymptotic Analysis
The problem of quickest change detection (QCD) under transient dynamics ...
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01/21/2017
