Kaiwen Wu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 28

Top Topics

Variational Inference

Cultivated Land

Breast Ultrasound

Top Venues

Publications

Kaiwen Wu, Jacob R. Gardner
Understanding Stochastic Natural Gradient Variational Inference. CoRR (2024)
Kaiwen Wu, Jacob R. Gardner
A Fast, Robust Elliptical Slice Sampling Implementation for Linearly Truncated Multivariate Normal Distributions. CoRR (2024)
Kaiwen Wu, Jonathan Wenger, Haydn T. Jones, Geoff Pleiss, Jacob R. Gardner
Large-Scale Gaussian Processes via Alternating Projection. AISTATS (2024)
Kyurae Kim, Kaiwen Wu, Jisu Oh, Jacob R. Gardner
Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference. CoRR (2023)
Kyurae Kim, Kaiwen Wu, Jisu Oh, Yian Ma, Jacob R. Gardner
Black-Box Variational Inference Converges. CoRR (2023)
Xinran Zhu, Kaiwen Wu, Natalie Maus, Jacob Gardner, David Bindel
Variational Gaussian Processes with Decoupled Conditionals. NeurIPS (2023)
Kaiwen Wu, Jonathan Wenger, Haydn Jones, Geoff Pleiss, Jacob R. Gardner
Large-Scale Gaussian Processes via Alternating Projection. CoRR (2023)
Kaiwen Wu, Kyurae Kim, Roman Garnett, Jacob Gardner
The Behavior and Convergence of Local Bayesian Optimization. NeurIPS (2023)
Yingshan Xue, Yonghua Jiang, Chengjun Wang, Kaiwen Wu, Xiaoxiao Zhang, Weiling Liu
Multi-scale Residual Spatial-Spectral Attention Longan-Litchi Extraction Network for Cultivated Land Non-grain Monitoring. Agro-Geoinformatics (2023)
Kaiwen Wu, Yanhu Li, Xiaofeng He
Resident-Based Store Recommendation Model for Community Commercial Planning. ADMA (1) (2023)
Kyurae Kim, Kaiwen Wu, Jisu Oh, Jacob R. Gardner
Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference. ICML (2023)
Kyurae Kim, Jisu Oh, Kaiwen Wu, Yian Ma, Jacob R. Gardner
On the Convergence of Black-Box Variational Inference. NeurIPS (2023)
Natalie Maus, Kaiwen Wu, David Eriksson, Jacob R. Gardner
Discovering Many Diverse Solutions with Bayesian Optimization. AISTATS (2023)
Kaiwen Wu, Kyurae Kim, Roman Garnett, Jacob R. Gardner
The Behavior and Convergence of Local Bayesian Optimization. CoRR (2023)
Shuai Zhang, Yonghua Jiang, Chengjun Wang, Weiling Liu, Da Li, Kaiwen Wu
Crop Type Classification Network for Hyperspectral Images Coupled with Agricultural Vegetation Indices. Agro-Geoinformatics (2023)
Natalie Maus, Kaiwen Wu, David Eriksson, Jacob R. Gardner
Discovering Many Diverse Solutions with Bayesian Optimization. CoRR (2022)
Bo Xu, Kaiwen Wu, Ying Wu, Jie He, Chaoyi Chen
Dynamic adversarial domain adaptation based on multikernel maximum mean discrepancy for breast ultrasound image classification. Expert Syst. Appl. 207 (2022)
Quan Nguyen, Kaiwen Wu, Jacob R. Gardner, Roman Garnett
Local Bayesian optimization via maximizing probability of descent. NeurIPS (2022)
Quan Nguyen, Kaiwen Wu, Jacob R. Gardner, Roman Garnett
Local Bayesian optimization via maximizing probability of descent. CoRR (2022)
Chaoyi Chen, Bo Xu, Ying Wu, Kaiwen Wu, Cuier Tan
Research on Ultrasonic Image Segmentation of Thyroid Nodules Based on Improved U-net++. BIC (2022)
Kaiwen Wu, Allen Houze Wang, Yaoliang Yu
Stronger and Faster Wasserstein Adversarial Attacks. CoRR (2020)
Kaiwen Wu, Allen Houze Wang, Yaoliang Yu
Stronger and Faster Wasserstein Adversarial Attacks. ICML (2020)
Kaiwen Wu, Gavin Weiguang Ding, Ruitong Huang, Yaoliang Yu
On Minimax Optimality of GANs for Robust Mean Estimation. AISTATS (2020)
Guojun Zhang, Kaiwen Wu, Pascal Poupart, Yaoliang Yu
Newton-type Methods for Minimax Optimization. CoRR (2020)
Borislav Mavrin, Shangtong Zhang, Hengshuai Yao, Linglong Kong, Kaiwen Wu, Yaoliang Yu
Distributional Reinforcement Learning for Efficient Exploration. CoRR (2019)
Borislav Mavrin, Hengshuai Yao, Linglong Kong, Kaiwen Wu, Yaoliang Yu
Distributional Reinforcement Learning for Efficient Exploration. ICML (2019)
Kaiwen Wu, Yaoliang Yu
Understanding Adversarial Robustness: The Trade-off between Minimum and Average Margin. CoRR (2019)
Kaiwen Wu, Yanmei Jin
Research and practice of time-sharing device sharing mechanism in remote embedded experiment platform. ICNC-FSKD (2016)