Raymond K. W. Wong
11 papers · 2017–2026 · 5 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (21)
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Century Club Β· Bronze
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Renaissance Researcher
(5)
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Research topics
Machine Learning
(10)
Core Methods
(7)
Optimization & Theory
(6)
Mathematics & Optimization
(4)
Learning Types Β· Machine Learning
(4)
Optimization
(3)
Deep Learning
(2)
Artificial Intelligence
(1)
Data Science & Analytics
(1)
Knowledge & Reasoning
(1)
Reinforcement Learning
(1)
Architectures
(1)
Core AI
(1)
Learning Types Β· Deep Learning
(1)
Mathematics
(1)
Keywords
matrix completion
(4)
low-rank matrix
(3)
convergence rate
(2)
gradient descent
(2)
sparse coding
(2)
functional data analysis
(1)
convex optimization
(1)
causal inference
(1)
group sparsity
(1)
distributional reinforcement learning
(1)
neural architecture
(1)
outlier detection
(1)
off-policy evaluation
(1)
robust statistics
(1)
bellman residual minimization
(1)
bayesian framework
(1)
causal discovery
(1)
robust estimation
(1)
kernel ridge regression
(1)
feature learning
(1)
Papers
Flexible Functional Treatment Effect Estimation
JMLR 2026
Distributional Off-policy Evaluation with Bellman Residual Minimization
AISTATS 2025
A Fine-grained Analysis of Fitted Q-evaluation: Beyond Parametric Models
ICML 2024
A Pairwise Pseudo-likelihood Approach for Matrix Completion with Informative Missingness
NeurIPS 2024
Directed Cyclic Graph for Causal Discovery from Multivariate Functional Data
NeurIPS 2023
Implicit Regularization for Group Sparsity
ICLR 2023
Matrix Completion with Model-free Weighting
ICML 2021
Median Matrix Completion: from Embarrassment to Optimality
ICML 2020
On the Dynamics of Gradient Descent for Autoencoders
AISTATS 2019
Provably Accurate Double-Sparse Coding
JMLR 2019
Matrix Completion with Noisy Entries and Outliers
JMLR 2017