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06/19/2023
Virtual Human Generative Model: Masked Modeling Approach for Learning Human Characteristics
Identifying the relationship between healthcare attributes, lifestyles, ...
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03/28/2023
TabRet: Pre-training Transformer-based Tabular Models for Unseen Columns
We present TabRet, a pre-trainable Transformer-based model for tabular d...
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01/16/2022
Fractional SDE-Net: Generation of Time Series Data with Long-term Memory
In this paper, we focus on generation of time-series data using neural n...
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06/12/2020
Weisfeiler-Lehman Embedding for Molecular Graph Neural Networks
A graph neural network (GNN) is a good choice for predicting the chemica...
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08/13/2019
Einconv: Exploring Unexplored Tensor Decompositions for Convolutional Neural Networks
Tensor decomposition methods are one of the primary approaches for model...
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06/20/2019
Data Interpolating Prediction: Alternative Interpretation of Mixup
Data augmentation by mixing samples, such as Mixup, has widely been used...
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01/28/2019
On Random Subsampling of Gaussian Process Regression: A Graphon-Based Analysis
In this paper, we study random subsampling of Gaussian process regressio...
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09/19/2017
An Optimality Proof for the PairDiff operator for Representing Relations between Words
Representing the semantic relations that exist between two given words (...
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09/19/2017
Think Globally, Embed Locally --- Locally Linear Meta-embedding of Words
Distributed word embeddings have shown superior performances in numerous...
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08/01/2017
On Tensor Train Rank Minimization: Statistical Efficiency and Scalable Algorithm
Tensor train (TT) decomposition provides a space-efficient representatio...
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08/25/2016
Minimizing Quadratic Functions in Constant Time
A sampling-based optimization method for quadratic functions is proposed...
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06/29/2016
Making Tree Ensembles Interpretable: A Bayesian Model Selection Approach
Tree ensembles, such as random forests and boosted trees, are renowned f...
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06/17/2016
Making Tree Ensembles Interpretable
Tree ensembles, such as random forest and boosted trees, are renowned fo...
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02/06/2016
A Tractable Fully Bayesian Method for the Stochastic Block Model
The stochastic block model (SBM) is a generative model revealing macrosc...
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09/03/2015
Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias
A common strategy for sparse linear regression is to introduce regulariz...
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06/19/2015
Doubly Decomposing Nonparametric Tensor Regression
Nonparametric extension of tensor regression is proposed. Nonlinearity i...
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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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06/18/2012
Factorized Asymptotic Bayesian Hidden Markov Models
This paper addresses the issue of model selection for hidden Markov mode...
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10/05/2010
