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11/07/2017
Distributed Bayesian Piecewise Sparse Linear Models
The importance of interpretability of machine learning models has been i...
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07/10/2017
An Interactive Greedy Approach to Group Sparsity in High Dimension
Sparsity learning with known grouping structures has received considerab...
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03/21/2017
On The Projection Operator to A Three-view Cardinality Constrained Set
The cardinality constraint is an intrinsic way to restrict the solution ...
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05/18/2016
Optimization Beyond Prediction: Prescriptive Price Optimization
This paper addresses a novel data science problem, prescriptive price op...
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06/26/2015
Factorized Asymptotic Bayesian Inference for Factorial Hidden Markov Models
Factorial hidden Markov models (FHMMs) are powerful tools of modeling se...
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04/22/2015
Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood
Factorized information criterion (FIC) is a recently developed approxima...
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10/31/2014
Partition-wise Linear Models
Region-specific linear models are widely used in practical applications ...
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12/31/2013
Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint
We consider forward-backward greedy algorithms for solving sparse featur...
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06/18/2012