Xiao Wang

CoRR, February, 2025

Wasserstein Coreset via Sinkhorn Loss.

[BibT_eX]

[DOI]

Haoyun Yin

Trans. Mach. Learn. Res., 2025

Doubly Robust Conditional VAE via Decoder Calibration: An Implicit KL Annealing Approach.

[BibT_eX]

[DOI]

Chuanhui Liu

Trans. Mach. Learn. Res., 2025

2024

Adaptive Learning of the Latent Space of Wasserstein Generative Adversarial Networks.

[BibT_eX]

[DOI]

Qingyi Gao

CoRR, 2024

2023

Partial conditioning for inference of many-normal-means with Hölder constraints.

[BibT_eX]

[DOI]

Jiasen Yang

Chuanhai Liu

Int. J. Approx. Reason., August, 2023

Efficient Multimodal Sampling via Tempered Distribution Flow.

[BibT_eX]

[DOI]

CoRR, 2023

2021

Resilient UAV Traffic Congestion Control Using Fluid Queuing Models.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2021

Scalable network estimation with L0 penalty.

[BibT_eX]

[DOI]

Stat. Anal. Data Min., 2021

Nonlinear Variable Selection via Deep Neural Networks.

[BibT_eX]

[DOI]

J. Comput. Graph. Stat., 2021

Inferential Wasserstein Generative Adversarial Networks.

[BibT_eX]

[DOI]

Yao Chen

Qingyi Gao

CoRR, 2021

2020

Unbiased Contrastive Divergence Algorithm for Training Energy-Based Latent Variable Models.

[BibT_eX]

[DOI]

Lingsong Zhang

Proceedings of the 8th International Conference on Learning Representations, 2020

Cross-Lingual Document Retrieval with Smooth Learning.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Stochastic Approximate Gradient Descent via the Langevin Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Theoretical Investigation of Generalization Bound for Residual Networks.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Understanding Weight Normalized Deep Neural Networks with Rectified Linear Units.

[BibT_eX]

[DOI]

Yixi Xu

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

On the Statistical Efficiency of Compositional Nonparametric Prediction.

[BibT_eX]

[DOI]

Yixi Xu

Jean Honorio

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Minimax Lower Bound and Optimal Estimation of Convex Functions in the Sup-Norm.

[BibT_eX]

[DOI]

Teresa M. Lebair

IEEE Trans. Autom. Control., 2017

2016

Local Region Sparse Learning for Image-on-Scalar Regression.

[BibT_eX]

[DOI]

CoRR, 2016

2013

Uniform Convergence and Rate Adaptive Estimation of Convex Functions via Constrained Optimization.

[BibT_eX]

[DOI]

SIAM J. Control. Optim., 2013

2012

Convex regression via penalized splines: A complementarity approach.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2012

2011

Estimation of Monotone Functions via P-Splines: A Constrained Dynamical Optimization Approach.

[BibT_eX]

[DOI]

SIAM J. Control. Optim., 2011

A constrained optimal control approach to smoothing splines.

[BibT_eX]

[DOI]

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010

An Inverse Gaussian Process Model for Degradation Data.

[BibT_eX]

[DOI]

Dihua Xu

Technometrics, 2010

Wiener processes with random effects for degradation data.

[BibT_eX]

[DOI]

J. Multivar. Anal., 2010

Estimation of shape constrained functions in dynamical systems and its application to gene networks.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2010

2004

Discussion.

[BibT_eX]

[DOI]

Vijayan N. Nair