Wesley Maddox
6 papers · 2021–2023 · 2 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(19)
Venues
Top co-authors
Research topics
Machine Learning
(6)
Optimization & Theory · Machine Learning
(5)
Core Methods
(4)
Artificial Intelligence
(3)
Learning Types
(3)
Deep Learning
(2)
Application Areas
(2)
Learning Paradigms
(2)
Healthcare & Medicine
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Optimization & Theory · Deep Learning
(1)
Research
(1)
Keywords
gaussian process
(4)
bayesian optimization
(3)
active learning
(2)
online learning
(1)
conformal prediction
(1)
black-box optimization
(1)
transfer learning
(1)
domain adaptation
(1)
uncertainty quantification
(1)
epistemic uncertainty
(1)
neural network optimization
(1)
loss landscape
(1)
time series forecasting
(1)
multi-objective optimization
(1)
multi-armed bandit
(1)
denoising autoencoder
(1)
stochastic differential equation
(1)
uncertainty estimation
(1)
mode connectivity
(1)
latent space optimization
(1)
Papers
Bayesian Optimization with Conformal Prediction Sets
AISTATS 2023
Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders
ICML 2022
Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes
ICML 2022
Fast Adaptation with Linearized Neural Networks
AISTATS 2021
Kernel Interpolation for Scalable Online Gaussian Processes
AISTATS 2021
Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling
ICML 2021