Qifan Song

发表

Bayesian Subset Modeling for High-Dimensional Generalized Linear Models

F. Liang, Kai Yu, Qifan Song, 2013 .

A split‐and‐merge Bayesian variable selection approach for ultrahigh dimensional regression

F. Liang, Qifan Song, 2015 .

High-Dimensional Variable Selection With Reciprocal L1-Regularization

F. Liang, Qifan Song, 2015 .

An Adaptive Exchange Algorithm for Sampling From Distributions With Intractable Normalizing Constants

Faming Liang, Jun S. Liu, Qifan Song, 2016 .

An overview of reciprocal L1‐regularization for high dimensional regression data

Qifan Song, Qifan Song, 2018 .

SUPPLEMENTARY MATERIAL FOR "WEAK CONVERGENCE RATES OF POPULATION VERSUS SINGLE-CHAIN STOCHAS- TIC APPROXIMATION MCMC ALGORITHMS "

F. Liang, Qifan Song, Mingqi Wu, 2013 .

Rate Optimal Variational Bayesian Inference for Sparse DNN

Guang Cheng, Qifan Song, Jincheng Bai, 2019, 1910.04355.

Extended Stochastic Gradient MCMC for Large-Scale Bayesian Variable Selection

F. Liang, Qifan Song, Yan Sun, 2020, Biometrika.

Color image restoration based on saturation-value total variation plus L1 fidelity

W. Wang, Qifan Song, 2022, Inverse Problems.

An Equivalent Measure of Partial Correlation Coefficients for High-Dimensional Gaussian Graphical Models

Faming Liang, Peihua Qiu, Qifan Song, 2015 .

Optimal False Discovery Control of Minimax Estimator

Guang Cheng, Qifan Song, Guang Cheng, 2018, 1812.10013.

Nearly optimal Bayesian shrinkage for high-dimensional regression

F. Liang, Qifan Song, 2017, Science China Mathematics.

Weak Convergence Rates of Population Versus Single-Chain Stochastic Approximation MCMC Algorithms

F. Liang, Qifan Song, Mingqi Wu, 2013, Advances in Applied Probability.

Bayesian shrinkage towards sharp minimaxity

Qifan Song, Qifan Song, 2020, 2004.05307.

Consistent Sparse Deep Learning: Theory and Computation

F. Liang, Qifan Song, Yan Sun, 2021, Journal of the American Statistical Association.

A Resampling-Based Stochastic Approximation Method for Analysis of Large Geostatistical Data

F. Liang, Jincheol Park, P. Yang, 2013 .

Stochastic gradient Langevin dynamics with adaptive drifts

Faming Liang, Sehwan Kim, Qifan Song, 2021, Journal of statistical computation and simulation.

Stochastic Gradient Langevin Dynamics Algorithms with Adaptive Drifts pdf

Sehwan Kim, Faming Liang, Qifan Song, 2020, ArXiv.

On the Algorithmic Stability of Adversarial Training

Qifan Song, Yue Xing, Guang Cheng, 2021, NeurIPS.

On the Generalization Properties of Adversarial Training pdf

Guang Cheng, Qifan Song, Yue Xing, 2020, AISTATS.

Why Do Artificially Generated Data Help Adversarial Robustness

Qifan Song, Yue Xing, Guang Cheng, 2022, NeurIPS.

An Implementation of Parallel Floyd-Warshall Algorithm Based on Hybrid MPI and OpenMP

Zhiyuan Yan, Qifan Song, Qifan Song, 2012 .

Unlabeled Data Help: Minimax Analysis and Adversarial Robustness

Qifan Song, Yue Xing, Guang Cheng, 2022, AISTATS.

Efficient Variational Inference for Sparse Deep Learning with Theoretical Guarantee pdf

Guang Cheng, Qifan Song, Jincheng Bai, 2020, NeurIPS.

Learning Sparse Deep Neural Networks with a Spike-and-Slab Prior.

F. Liang, Qifan Song, Y. Sun, 2022, Statistics & probability letters.

High-Order Degree and Combined Degree in Complex Networks

Yuanyuan Zhang, Shudong Wang, Qifang Song, 2018, Mathematical Problems in Engineering.

A Blockwise Consistency Method for Parameter Estimation of Complex Models

Faming Liang, Malay Ghosh, Ye Luo, 2018, Sankhya B.

Extended Stochastic Gradient MCMC for Large-Scale Bayesian Variable Selection pdf

Faming Liang, Mao Ye, Yan Sun, 2020, Biometrika.

A New Paradigm for Generative Adversarial Networks based on Randomized Decision Rules

F. Liang, Qifan Song, Sehwan Kim, 2023, Statistica Sinica.

On Neural Network approximation of ideal adversarial attack and convergence of adversarial training

Qifan Song, Rajdeep Haldar, 2023, ArXiv.

Rate Optimal Variational Bayesian Inference for Sparse DNN

Guang Cheng, Qifan Song, Jincheng Bai, 2019, 1910.04355.

Adaptive Variational Bayesian Inference for Sparse Deep Neural Network

Guang Cheng, Qifan Song, Jincheng Bai, 2019 .

Predictive Power of Nearest Neighbors Algorithm under Random Perturbation pdf

Guang Cheng, Qifan Song, Yue Xing, 2020, AISTATS.