Kaiwen Wu

According to our database1, Kaiwen Wu authored at least 24 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference.
CoRR, 2024

A Fast, Robust Elliptical Slice Sampling Implementation for Linearly Truncated Multivariate Normal Distributions.
CoRR, 2024

Understanding Stochastic Natural Gradient Variational Inference.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Large-Scale Gaussian Processes via Alternating Projection.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Large-Scale Gaussian Processes via Alternating Projection.
CoRR, 2023

Black-Box Variational Inference Converges.
CoRR, 2023

Variational Gaussian Processes with Decoupled Conditionals.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The Behavior and Convergence of Local Bayesian Optimization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On the Convergence of Black-Box Variational Inference.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference.
Proceedings of the International Conference on Machine Learning, 2023

Discovering Many Diverse Solutions with Bayesian Optimization.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Crop Type Classification Network for Hyperspectral Images Coupled with Agricultural Vegetation Indices.
Proceedings of the 11th International Conference on Agro-Geoinformatics, 2023

Multi-scale Residual Spatial-Spectral Attention Longan-Litchi Extraction Network for Cultivated Land Non-grain Monitoring.
Proceedings of the 11th International Conference on Agro-Geoinformatics, 2023

Resident-Based Store Recommendation Model for Community Commercial Planning.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022
Dynamic adversarial domain adaptation based on multikernel maximum mean discrepancy for breast ultrasound image classification.
Expert Syst. Appl., 2022

Local Bayesian optimization via maximizing probability of descent.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Research on Ultrasonic Image Segmentation of Thyroid Nodules Based on Improved U-net++.
Proceedings of the BIC 2022: 2nd International Conference on Bioinformatics and Intelligent Computing, Harbin, China, January 21, 2022

2020
Newton-type Methods for Minimax Optimization.
CoRR, 2020

Stronger and Faster Wasserstein Adversarial Attacks.
Proceedings of the 37th International Conference on Machine Learning, 2020

On Minimax Optimality of GANs for Robust Mean Estimation.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Understanding Adversarial Robustness: The Trade-off between Minimum and Average Margin.
CoRR, 2019

Distributional Reinforcement Learning for Efficient Exploration.
CoRR, 2019

Distributional Reinforcement Learning for Efficient Exploration.
Proceedings of the 36th International Conference on Machine Learning, 2019

2016
Research and practice of time-sharing device sharing mechanism in remote embedded experiment platform.
Proceedings of the 12th International Conference on Natural Computation, 2016


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