Wu Lin

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 38

Top Topics

Variational Inference

Reference Points

Top Venues

IEEE Trans. Evol. Comput.

Publications

Wu Lin, Felix Dangel, Runa Eschenhagen, Juhan Bae, Richard E. Turner, Alireza Makhzani
Can We Remove the Square-Root in Adaptive Gradient Methods? A Second-Order Perspective. CoRR (2024)
Juhan Bae, Wu Lin, Jonathan Lorraine, Roger Grosse
Training Data Attribution via Approximate Unrolled Differentiation. CoRR (2024)
Wu Lin, Qiuzhen Lin, Liang Feng, Kay Chen Tan
Ensemble of Domain Adaptation-Based Knowledge Transfer for Evolutionary Multitasking. IEEE Trans. Evol. Comput. 28 (2) (2024)
Wu Lin, Valentin Duruisseaux, Melvin Leok, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt
Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning. ICML (2023)
Wu Lin, Felix Dangel, Runa Eschenhagen, Kirill Neklyudov, Agustinus Kristiadi, Richard E. Turner, Alireza Makhzani
Structured Inverse-Free Natural Gradient: Memory-Efficient & Numerically-Stable KFAC for Large Neural Nets. CoRR (2023)
Xunfeng Wu, Qiuzhen Lin, Wu Lin, Yulong Ye, Qingling Zhu, Victor C. M. Leung
A Kriging model-based evolutionary algorithm with support vector machine for dynamic multimodal optimization. Eng. Appl. Artif. Intell. 122 (2023)
Wu Lin, Valentin Duruisseaux, Melvin Leok, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt
Simplifying Momentum-based Riemannian Submanifold Optimization. CoRR (2023)
Naili Luo, Yulong Ye, Wu Lin, Qiuzhen Lin, Victor C. M. Leung
A novel multimodal multiobjective memetic algorithm with a local detection mechanism and a clustering-based selection strategy. Memetic Comput. 15 (1) (2023)
Lu Bai, Wu Lin, Abhishek Gupta, Yew-Soon Ong
From Multitask Gradient Descent to Gradient-Free Evolutionary Multitasking: A Proof of Faster Convergence. IEEE Trans. Cybern. 52 (8) (2022)
Zhongjian Wu, Wu Lin, Huimei Tang, Qiuzhen Lin
A Multiobjective Multitask Evolutionary Algorithm Based on Decomposition and Multivariate Gaussian Distribution. CCIS (2021)
Naili Luo, Wu Lin, Genmiao Jin, Changkun Jiang, Jianyong Chen
Decomposition-Based Multiobjective Evolutionary Algorithm With Genetically Hybrid Differential Evolution Strategy. IEEE Access 9 (2021)
Wu Lin, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt
Structured second-order methods via natural gradient descent. CoRR (2021)
Wu Lin, Qiuzhen Lin, Junkai Ji, Zexuan Zhu, Carlos A. Coello Coello, Ka-Chun Wong
Decomposition-based multiobjective optimization with bicriteria assisted adaptive operator selection. Swarm Evol. Comput. 60 (2021)
Wu Lin, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt
Tractable structured natural-gradient descent using local parameterizations. ICML (2021)
Qiuzhen Lin, Wu Lin, Zexuan Zhu, Maoguo Gong, Jianqiang Li, Carlos A. Coello Coello
Multimodal Multiobjective Evolutionary Optimization With Dual Clustering in Decision and Objective Spaces. IEEE Trans. Evol. Comput. 25 (1) (2021)
Naili Luo, Wu Lin, Peizhi Huang, Jianyong Chen
An Evolutionary Algorithm with Clustering-Based Assisted Selection Strategy for Multimodal Multiobjective Optimization. Complex. 2021 (2021)
Wu Lin, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt
Tractable structured natural gradient descent using local parameterizations. CoRR (2021)
Wu Lin, Mark Schmidt, Mohammad Emtiyaz Khan
Handling the Positive-Definite Constraint in the Bayesian Learning Rule. ICML (2020)
Wu Lin, Yuan Li, Naili Luo
A Novel Decomposition-Based Multimodal Multi-objective Evolutionary Algorithm. ICIC (2) (2020)
Wu Lin, Mark Schmidt, Mohammad Emtiyaz Khan
Handling the Positive-Definite Constraint in the Bayesian Learning Rule. CoRR (2020)
Lingjie Li, Wu Lin, Qiuzhen Lin, Zhong Ming
Balancing Convergence and Diversity in Multiobjective Immune Algorithm. ICACI (2020)
Wu Lin, Mohammad Emtiyaz Khan, Mark Schmidt
Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations. ICML (2019)
Wu Lin, Qiuzhen Lin, Zexuan Zhu, Jianqiang Li, Jianyong Chen, Zhong Ming
Evolutionary Search with Multiple Utopian Reference Points in Decomposition-Based Multiobjective Optimization. Complex. 2019 (2019)
Ruizhi Shi, Wu Lin, Qiuzhen Lin, Zexuan Zhu, Jianyong Chen
Multimodal Multi-objective Optimization Using A Density-based One-by-One Update Strategy. CEC (2019)
Wu Lin, Mohammad Emtiyaz Khan, Mark Schmidt
Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations. CoRR (2019)
Wu Lin, Mohammad Emtiyaz Khan, Mark Schmidt
Stein's Lemma for the Reparameterization Trick with Exponential Family Mixtures. CoRR (2019)
Mohammad Emtiyaz Khan, Didrik Nielsen, Voot Tangkaratt, Wu Lin, Yarin Gal, Akash Srivastava
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam. CoRR (2018)
Wu Lin, Nicolas Hubacher, Mohammad Emtiyaz Khan
Variational Message Passing with Structured Inference Networks. ICLR (Poster) (2018)
Mohammad Emtiyaz Khan, Didrik Nielsen, Voot Tangkaratt, Wu Lin, Yarin Gal, Akash Srivastava
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam. ICML (2018)
Mohammad Emtiyaz Khan, Wu Lin
Conjugate-Computation Variational Inference : Converting Variational Inference in Non-Conjugate Models to Inferences in Conjugate Models. CoRR (2017)
Mohammad Emtiyaz Khan, Wu Lin
Conjugate-Computation Variational Inference: Converting Variational Inference in Non-Conjugate Models to Inferences in Conjugate Models. AISTATS (2017)
Mohammad Emtiyaz Khan, Wu Lin, Voot Tangkaratt, Zuozhu Liu, Didrik Nielsen
Variational Adaptive-Newton Method for Explorative Learning. CoRR (2017)
Israel Durán, Wu Lin, Francesc Torres, Ignasi Corbella, Nuria Duffo, Manuel Martín-Neira
SMOS simplified iterative full-pol brightness temperature retrieval. IGARSS (2016)
Mohammad Emtiyaz Khan, Reza Babanezhad, Wu Lin, Mark Schmidt, Masashi Sugiyama
Faster Stochastic Variational Inference using Proximal-Gradient Methods with General Divergence Functions. UAI (2016)
Ignasi Corbella, Israel Durán, Wu Lin, Francesc Torres, Nuria Duffo, Ali Khazaal, Manuel Martín-Neira
Mitigation of land-sea contamination in SMOS. IGARSS (2015)
Haotian Zhang, Wu Lin, Yipeng Wang, Charles L. A. Clarke, Mark D. Smucker
WaterlooClarke: TREC 2015 Total Recall Track. TREC (2015)
Mohammad Emtiyaz Khan, Reza Babanezhad, Wu Lin, Mark Schmidt, Masashi Sugiyama
Convergence of Proximal-Gradient Stochastic Variational Inference under Non-Decreasing Step-Size Sequence. CoRR (2015)
Israel Durán, Wu Lin, Ignasi Corbella, Francesc Torres, Nuria Duffo, Manuel Martín-Neira
SMOS floor error impact and migation on ocean imaging. IGARSS (2015)
Francesc Torres, Ignasi Corbella, Israel Durán, Wu Lin, Nuria Duffo, Manuel Martín-Neira
Residual calibration error impact on SMOS SLL performance. IGARSS (2014)
Francesc Torres, Wu Lin, Nuria Duffo, Ignasi Corbella, Manuel Martín-Neira
Spatial decorrelation of radiometric noise in SMOS measurements. IGARSS (2012)
Francesc Torres, Ignasi Corbella, Wu Lin, Nuria Duffo, Jérôme Gourrion, Jordi Font, Manuel Martín-Neira
Minimization of Image Distortion in SMOS Brightness Temperature Maps Over the Ocean. IEEE Geosci. Remote. Sens. Lett. 9 (1) (2012)
Wu Lin, Ignasi Corbella, Francesc Torres, Nuria Duffo, Manuel Martín-Neira
Correction of spatial errors in SMOS brightness temperature images. IGARSS (2011)
Lian'en Huang, Wu Lin, Xiaoming Li
Searching for Historical Events on a Large-Scale Web Archive. SKG (2010)