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06/12/2023
DRCFS: Doubly Robust Causal Feature Selection
Knowing the features of a complex system that are highly relevant to a p...
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05/05/2023
Decentralized diffusion-based learning under non-parametric limited prior knowledge
We study the problem of diffusion-based network learning of a nonlinear ...
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04/11/2023
Diagnosing and Augmenting Feature Representations in Correctional Inverse Reinforcement Learning
Robots have been increasingly better at doing tasks for humans by learni...
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04/04/2023
Optimal Transport for Correctional Learning
The contribution of this paper is a generalized formulation of correctio...
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11/18/2022
A Unified Approach to Differentially Private Bayes Point Estimation
Parameter estimation in statistics and system identification relies on d...
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03/31/2022
A Statistical Decision-Theoretical Perspective on the Two-Stage Approach to Parameter Estimation
One of the most important problems in system identification and statisti...
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11/15/2021
A teacher-student framework for online correctional learning
A classical learning setting is one in which a student collects data, or...
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05/28/2021
Asymptotically Optimal Bandits under Weighted Information
We study the problem of regret minimization in a multi-armed bandit setu...
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12/17/2019
A Finite-Sample Deviation Bound for Stable Autoregressive Processes
In this paper, we study non-asymptotic deviation bounds of the least squ...
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12/03/2019
Bayesian Model Selection for Change Point Detection and Clustering
We address the new problem of estimating a piece-wise constant signal wi...
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11/28/2019
Finite impulse response models: A non-asymptotic analysis of the least squares estimator
We consider a finite impulse response system with centered independent s...
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10/17/2019
Finite sample deviation and variance bounds for first order autoregressive processes
In this paper, we study finite-sample properties of the least squares es...
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01/23/2015
Bayesian Learning for Low-Rank matrix reconstruction
We develop latent variable models for Bayesian learning based low-rank m...
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12/01/2014
How to monitor and mitigate stair-casing in l1 trend filtering
In this paper we study the estimation of changing trends in time-series ...
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07/22/2014
Approximate Regularization Path for Nuclear Norm Based H2 Model Reduction
This paper concerns model reduction of dynamical systems using the nucle...
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01/21/2014
On change point detection using the fused lasso method
In this paper we analyze the asymptotic properties of l1 penalized maxim...
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09/21/2012
A Note on the SPICE Method
In this article, we analyze the SPICE method developed in [1], and estab...
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11/25/2011
