Robert Hu
6 papers · 2022–2024 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (20) 🐣 Hot Topic Early Bird ⚡ Prolific Year · Productive
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Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(6)
Core Methods
(5)
Optimization & Theory · Machine Learning
(5)
Artificial Intelligence
(4)
Core AI
(4)
Deep Learning
(2)
Mathematics & Optimization
(2)
Application Areas
(2)
Knowledge & Reasoning
(1)
Bayesian & Probabilistic
(1)
Learning Types
(1)
Mathematics
(1)
Models
(1)
Optimization
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
kernel methods
(3)
shapley value
(2)
variational inference
(1)
uncertainty quantification
(1)
feature attribution
(1)
model interpretability
(1)
gaussian process
(1)
importance sampling
(1)
hypothesis testing
(1)
gaussian process regression
(1)
hilbert-schmidt independence criterion
(1)
importance weighting
(1)
numerical approximation
(1)
kernel matrix
(1)
kernel mean embedding
(1)
preference modeling
(1)
linear complexity
(1)
gpu computing
(1)
pairwise comparison
(1)
approximation algorithm
(1)
Papers
A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment
JMLR 2024
Explaining Preferences with Shapley Values
NeurIPS 2022
Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning
NeurIPS 2022
Giga-scale Kernel Matrix-Vector Multiplication on GPU
NeurIPS 2022
RKHS-SHAP: Shapley Values for Kernel Methods
NeurIPS 2022
Survival regression with proper scoring rules and monotonic neural networks
AISTATS 2022