Kaiwen Wu
12 papers · 2019–2024 · 3 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (33) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze ⚡ Prolific Year · Productive
💎
Century Club · Bronze
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Keyword Collector
(59)
Venues
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Research topics
Machine Learning
(10)
Optimization & Theory
(9)
Mathematics & Optimization
(5)
Bayesian & Probabilistic · Machine Learning
(5)
Optimization
(5)
Artificial Intelligence
(4)
Core Methods
(4)
Deep Learning
(3)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Learning Types
(3)
Models
(2)
Computer Vision
(1)
Reinforcement Learning
(1)
Applications
(1)
Core AI
(1)
Keywords
bayesian optimization
(4)
gaussian process
(4)
local optimization
(2)
stochastic gradient descent
(2)
variational inference
(2)
black-box variational inference
(2)
black-box optimization
(2)
adversarial training
(1)
minimax optimality
(1)
convergence analysis
(1)
uncertainty quantification
(1)
hyperparameter optimization
(1)
model selection
(1)
distributional reinforcement learning
(1)
natural gradient
(1)
gaussian processes
(1)
gradient estimation
(1)
kernel matrix
(1)
stochastic process
(1)
bayesian inference
(1)
Papers
Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference
NeurIPS 2024
Large-Scale Gaussian Processes via Alternating Projection
AISTATS 2024
Understanding Stochastic Natural Gradient Variational Inference
ICML 2024
Discovering Many Diverse Solutions with Bayesian Optimization
AISTATS 2023
On the Convergence of Black-Box Variational Inference
NeurIPS 2023
Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference
ICML 2023
The Behavior and Convergence of Local Bayesian Optimization
NeurIPS 2023
Variational Gaussian Processes with Decoupled Conditionals
NeurIPS 2023
Local Bayesian optimization via maximizing probability of descent
NeurIPS 2022
On Minimax Optimality of GANs for Robust Mean Estimation
AISTATS 2020
Stronger and Faster Wasserstein Adversarial Attacks
ICML 2020
Distributional Reinforcement Learning for Efficient Exploration
ICML 2019