Kaiwen Wu
12 papers · 2019–2024 · 3 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (3) πΊοΈ Taxonomy Completionist (12) π§ Keyword Pioneer π Interdisciplinary Bridge π Academic Marathon (5)
π
Conference Polyglot
(3)
π
Academic Marathon
(5)
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(53)
π
Century Club
(12)
β‘
Prolific Year
(5)
Conferences
NIPS (5)
ICML (4)
AISTATS (3)
Top co-authors
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)
kernel matrix
(1)
gaussian processes
(1)
gradient estimation
(1)
stochastic process
(1)
conjugate gradient
(1)
bayesian inference
(1)
Papers
Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference
NIPS 2024
Understanding Stochastic Natural Gradient Variational Inference
ICML 2024
Large-Scale Gaussian Processes via Alternating Projection
AISTATS 2024
The Behavior and Convergence of Local Bayesian Optimization
NIPS 2023
Discovering Many Diverse Solutions with Bayesian Optimization
AISTATS 2023
On the Convergence of Black-Box Variational Inference
NIPS 2023
Variational Gaussian Processes with Decoupled Conditionals
NIPS 2023
Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference
ICML 2023
Local Bayesian optimization via maximizing probability of descent
NIPS 2022
Stronger and Faster Wasserstein Adversarial Attacks
ICML 2020
On Minimax Optimality of GANs for Robust Mean Estimation
AISTATS 2020
Distributional Reinforcement Learning for Efficient Exploration
ICML 2019