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Pan Xu
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Cited by
Year
Stochastic Nested Variance Reduction for Nonconvex Optimization
D Zhou, P Xu, Q Gu
Advances in Neural Information Processing Systems, 3921-3932, 2018
158*2018
Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization
P Xu, J Chen, D Zou, Q Gu
Advances in Neural Information Processing Systems, 3122-3133, 2018
1422018
Ensemble Forecasts of Coronavirus Disease 2019 (COVID-19) in the US
EL Ray, N Wattanachit, J Niemi, AH Kanji, K House, EY Cramer, J Bracher, ...
medRxiv, 2020
1282020
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States
EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ...
Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022
90*2022
Epidemic Model Guided Machine Learning for COVID-19 Forecasts in the United States
D Zou, L Wang, P Xu, J Chen, W Zhang, Q Gu
medRxiv, 2020
832020
A finite-time analysis of two time-scale actor-critic methods
YF Wu, W Zhang, P Xu, Q Gu
Advances in Neural Information Processing Systems 33, 17617-17628, 2020
762020
An improved convergence analysis of stochastic variance-reduced policy gradient
P Xu, F Gao, Q Gu
Uncertainty in Artificial Intelligence, 541-551, 2020
622020
Sample Efficient Policy Gradient Methods with Recursive Variance Reduction
P Xu, F Gao, Q Gu
International Conference on Learning Representations, 2020
612020
Stochastic Variance-Reduced Cubic Regularization Methods
D Zhou, P Xu, Q Gu
Journal of Machine Learning Research 20 (134), 1-47, 2019
57*2019
A finite-time analysis of Q-learning with neural network function approximation
P Xu, Q Gu
International Conference on Machine Learning, 10555-10565, 2020
482020
Stochastic Variance-Reduced Hamilton Monte Carlo Methods
D Zou, P Xu, Q Gu
International Conference on Machine Learning, 6028-6037, 2018
362018
COVID-19 reopening strategies at the county level in the face of uncertainty: Multiple Models for Outbreak Decision Support
K Shea, RK Borchering, WJM Probert, E Howerton, TL Bogich, S Li, ...
medRxiv, 2020
212020
Subsampled Stochastic Variance-Reduced Gradient Langevin Dynamics
D Zou, P Xu, Q Gu
International Conference on Uncertainty in Artificial Intelligence, 2018
212018
Semiparametric Differential Graph Models
P Xu, Q Gu
Advances in Neural Information Processing Systems 29, 1064-1072, 2016
212016
Speeding up latent variable gaussian graphical model estimation via nonconvex optimization
P Xu, J Ma, Q Gu
Advances in Neural Information Processing Systems, 1933-1944, 2017
202017
The United States COVID-19 Forecast Hub dataset
EY Cramer, Y Huang, Y Wang, EL Ray, M Cornell, J Bracher, A Brennen, ...
Scientific Data 9 (1), 1-15, 2022
192022
Stochastic gradient Hamiltonian monte carlo methods with recursive variance reduction
D Zou, P Xu, Q Gu
Advances in Neural Information Processing Systems, 3835-3846, 2019
172019
Continuous and discrete-time accelerated stochastic mirror descent for strongly convex functions
P Xu, T Wang, Q Gu
International Conference on Machine Learning, 5492-5501, 2018
162018
Accelerated stochastic mirror descent: From continuous-time dynamics to discrete-time algorithms
P Xu, T Wang, Q Gu
International Conference on Artificial Intelligence and Statistics, 1087-1096, 2018
162018
Third-order smoothness helps: faster stochastic optimization algorithms for finding local minima
Y Yu, P Xu, Q Gu
Advances in Neural Information Processing Systems, 4525-4535, 2018
16*2018
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Articles 1–20