Wei Deng

According to our database, Wei Deng authored at least 15 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo.

Haoyang Zheng, Wei Deng, Christian Moya, Guang Lin

CoRR, 2024

2023

Non-reversible Parallel Tempering for Deep Posterior Approximation.

Wei Deng, Qian Zhang, Qi Feng, Faming Liang, Guang Lin

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

An adaptively weighted stochastic gradient MCMC algorithm for Monte Carlo simulation and global optimization.

Wei Deng, Guang Lin, Faming Liang

Stat. Comput., 2022

Interacting Contour Stochastic Gradient Langevin Dynamics.

Wei Deng, Siqi Liang, Botao Hao, Guang Lin, Faming Liang

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

An adaptive Hessian approximated stochastic gradient MCMC method.

Yating Wang, Wei Deng, Guang Lin

J. Comput. Phys., 2021

Bayesian sparse learning with preconditioned stochastic gradient MCMC and its applications.

Yating Wang, Wei Deng, Guang Lin

J. Comput. Phys., 2021

On Convergence of Federated Averaging Langevin Dynamics.

Wei Deng, Yi-An Ma, Zhao Song, Qian Zhang, Guang Lin

CoRR, 2021

DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving.

Wei Deng, Junwei Pan, Tian Zhou, Deguang Kong, Aaron Flores, Guang Lin

Proceedings of the WSDM '21, 2021

Information Directed Sampling for Sparse Linear Bandits.

Botao Hao, Tor Lattimore, Wei Deng

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Accelerating Convergence of Replica Exchange Stochastic Gradient MCMC via Variance Reduction.

Wei Deng, Qi Feng, Georgios Karagiannis, Guang Lin, Faming Liang

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving.

Wei Deng, Junwei Pan, Tian Zhou, Aaron Flores, Guang Lin

CoRR, 2020

A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions.

Wei Deng, Guang Lin, Faming Liang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Non-convex Learning via Replica Exchange Stochastic Gradient MCMC.

Wei Deng, Qi Feng, Liyao Gao, Faming Liang, Guang Lin

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

An Adaptive Empirical Bayesian Method for Sparse Deep Learning.

Wei Deng, Xiao Zhang, Faming Liang, Guang Lin

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2017

Using Deep Neural Networks to Automate Large Scale Statistical Analysis for Big Data Applications.

Rongrong Zhang, Wei Deng, Yu Michael Zhu

Proceedings of The 9th Asian Conference on Machine Learning, 2017