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- Ya Xue, Xuejun Liao, Lawrence Carin, Balaji Krishnapuram
- Journal of Machine Learning Research
- 2007

Multi-task learning (MTL) is considered for logistic-regression classifiers, based on a Dirichlet process (DP) formulation. A symmetric MTL (SMTL) formulation is considered in which classifiers for multiple tasks are learned jointly, with a variational Bayesian (VB) solution. We also consider an asymmetric MTL (AMTL) formulation in which the posterior… (More)

- Xuejun Liao, Lawrence Carin
- IEEE Transactions on Pattern Analysis and Machine…
- 2004

A mobile electromagnetic-induction (EM I) sensor is considered for detection and characterization of buried conducting and/or ferrous targets. The sensor maybe placed on a robot and, here, we consider design of an optimal adaptive-search strategy. A frequency-dependent magnetic-dipole model is used to characterize the target at EMI frequencies. The goal of… (More)

An approach to identifying ground targets from sequential high-range-resolution (HRR) radar signatures is presented. In particular, a hidden Markov model (HMM) is employed to characterize the sequential information contained in multi-aspect HRR target signatures. Features from each of the HRR waveforms are extracted via the RELAX algorithm. The statistical… (More)

- Xuejun Liao, Ya Xue, Lawrence Carin
- ICML
- 2005

To achieve good generalization in supervised learning, the training and testing examples are usually required to be drawn from the same source distribution. In this paper we propose a method to relax this requirement in the context of logistic regression. Assuming <i>D<sup>p</sup></i> and <i>D<sup>a</sup></i> are two sets of examples drawn from two… (More)

- Patrick Llull, Xuejun Liao, +5 authors David J. Brady
- Optics express
- 2013

We use mechanical translation of a coded aperture for code division multiple access compression of video. We discuss the compressed video's temporal resolution and present experimental results for reconstructions of > 10 frames of temporal data per coded snapshot.

- Xuejun Liao, Hui Li, Lawrence Carin
- SIAM J. Imaging Sciences
- 2014

We consider the group basis pursuit problem, which extends basis pursuit by replacing the l1 norm with a weighted-l2,1 norm. We provide an anytime algorithm, called generalized alternating projection (GAP), to solve this problem. The GAP algorithm extends classical alternating projection to the case in which projections are performed between convex sets… (More)

- Qiuhua Liu, Xuejun Liao, Hui Li, Jason R. Stack, Lawrence Carin
- IEEE Transactions on Pattern Analysis and Machine…
- 2007

Context plays an important role when performing classification, and in this paper we examine context from two perspectives. First, the classification of items within a single task is placed within the context of distinct concurrent or previous classification tasks (multiple distinct data collections). This is referred to as multi-task learning (MTL), and is… (More)

- Jianbo Yang, Xin Yuan, +4 authors Lawrence Carin
- IEEE Transactions on Image Processing
- 2014

A Gaussian mixture model (GMM)-based algorithm is proposed for video reconstruction from temporally compressed video measurements. The GMM is used to model spatio-temporal video patches, and the reconstruction can be efficiently computed based on analytic expressions. The GMM-based inversion method benefits from online adaptive learning and parallel… (More)

- Shihao Ji, Ronald Parr, Hui Li, Xuejun Liao, Lawrence Carin
- AAAI
- 2007

We describe a point-based policy iteration (PBPI) algorithm for infinite-horizon POMDPs. PBPI replaces the exact policy improvement step of Hansen’s policy iteration with point-based value iteration (PBVI). Despite being an approximate algorithm, PBPI is monotonic: At each iteration before convergence, PBPI produces a policy for which the values increase… (More)

- Shaobo Han, Xuejun Liao, David B. Dunson, Lawrence Carin
- AISTATS
- 2016

We utilize copulas to constitute a unified framework for constructing and optimizing variational proposals. The optimal variational posterior under Sklar’s representation is found by minimizing the KL divergence to the true posterior. For models with continuous and non-Gaussian hidden variables, we propose a Gaussian copula family that preserves… (More)