Wei Deng
Affiliations:- Purdue University, West Lafayette, IN, USA
According to our database1,
Wei Deng
authored at least 19 papers
between 2017 and 2024.
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Book In proceedings Article PhD thesis Dataset OtherLinks
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Bibliography
2024
Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin Dynamics.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
2023
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.
Stat. Comput., 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
2021
J. Comput. Phys., 2021
Bayesian sparse learning with preconditioned stochastic gradient MCMC and its applications.
J. Comput. Phys., 2021
DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving.
Proceedings of the WSDM '21, 2021
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.
Proceedings of the 9th International Conference on Learning Representations, 2021
2020
DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving.
CoRR, 2020
A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
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.
Proceedings of The 9th Asian Conference on Machine Learning, 2017