Ke Alexander Wang
5 papers · 2020–2023 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird 🌱 Topic Pioneer ❓ The Questioner
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Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(5)
Optimization & Theory · Machine Learning
(5)
Artificial Intelligence
(3)
Deep Learning
(3)
Architectures
(2)
Core AI
(2)
Application Areas
(1)
Bayesian & Probabilistic
(1)
Core Methods
(1)
Learning Types · Deep Learning
(1)
Learning Types · Machine Learning
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
gaussian process
(2)
neural network
(2)
black-box optimization
(1)
trajectory prediction
(1)
wavelet transform
(1)
query efficiency
(1)
constrained optimization
(1)
mutual information
(1)
optimal experimental design
(1)
importance weighting
(1)
distribution shift
(1)
label shift
(1)
bayesian optimization
(1)
scalable inference
(1)
convolutional neural network
(1)
entropy search
(1)
physics-informed learning
(1)
multi-resolution convolution
(1)
cross-entropy loss
(1)
physical dynamics
(1)
Papers
Sequence Modeling with Multiresolution Convolutional Memory
ICML 2023
Is Importance Weighting Incompatible with Interpolating Classifiers?
ICLR 2022
Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information
ICML 2021
SKIing on Simplices: Kernel Interpolation on the Permutohedral Lattice for Scalable Gaussian Processes
ICML 2021
Simplifying Hamiltonian and Lagrangian Neural Networks via Explicit Constraints
NeurIPS 2020