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05/22/2022
Robust Flow-based Conformal Inference (FCI) with Statistical Guarantee
Conformal prediction aims to determine precise levels of confidence in p...
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08/27/2020
DVE: Dynamic Variational Embeddings with Applications in Recommender Systems
Embedding is a useful technique to project a high-dimensional feature in...
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06/05/2020
Variational Auto-encoder for Recommender Systems with Exploration-Exploitation
Variational auto-encoder (VAE) is an efficient non-linear latent factor ...
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01/12/2020
Reproducible Bootstrap Aggregating
Heterogeneity between training and testing data degrades reproducibility...
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11/07/2019
Auto-encoding graph-valued data with applications to brain connectomes
Our interest focuses on developing statistical methods for analysis of b...
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11/06/2019
Minimax Nonparametric Parallelism Test
Testing the hypothesis of parallelism is a fundamental statistical probl...
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09/17/2018
Statistically and Computationally Efficient Variance Estimator for Kernel Ridge Regression
In this paper, we propose a random projection approach to estimate varia...
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05/25/2018
Early Stopping for Nonparametric Testing
Early stopping of iterative algorithms is an algorithmic regularization ...
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05/25/2018
How Many Machines Can We Use in Parallel Computing for Kernel Ridge Regression?
This paper attempts to solve a basic problem in distributed statistical ...
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02/17/2018
