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12/19/2019
Bayesian high-dimensional linear regression with generic spike-and-slab priors
Spike-and-slab priors are popular Bayesian solutions for high-dimensiona...
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04/18/2019
Adaptive Huber Regression on Markov-dependent Data
High-dimensional linear regression has been intensively studied in the c...
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03/23/2019
Bayesian Factor-adjusted Sparse Regression
This paper investigates the high-dimensional linear regression with high...
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05/28/2018
Bernstein's inequality for general Markov chains
We prove a sharp Bernstein inequality for general-state-space and not ne...
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02/01/2018
Hoeffding's lemma for Markov Chains and its applications to statistical learning
We establish the counterpart of Hoeffding's lemma for Markov dependent r...
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05/20/2016
Convergence of Contrastive Divergence with Annealed Learning Rate in Exponential Family
In our recent paper, we showed that in exponential family, contrastive d...
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03/17/2016
Convergence of Contrastive Divergence Algorithm in Exponential Family
This paper studies the convergence properties of contrastive divergence ...
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10/08/2015