Justin Y. Chen
7 papers · 2023–2025 · 3 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (3) 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (5)
🏆
Keyword Champion
(2)
Conferences
ICML (4)
NIPS (2)
ICLR (1)
Top co-authors
Keywords
data structure
(2)
density estimation
(2)
computational efficiency
(1)
distribution testing
(1)
generative model
(1)
lower bound
(1)
world model
(1)
sampling complexity
(1)
evaluation metric
(1)
sublinear algorithm
(1)
query time
(1)
finite automaton
(1)
statistical computational tradeoff
(1)
distribution identification
(1)
language theory
(1)
statistical learning
(1)
myhill-nerode theorem
(1)
sample complexity
(1)
Papers
Scalable Private Partition Selection via Adaptive Weighting
ICML 2025
Learning-Augmented Frequent Directions
ICLR 2025
Breaking the $n^1.5$ Additive Error Barrier for Private and Efficient Graph Sparsification via Private Expander Decomposition
ICML 2025
Improved Approximations for Hard Graph Problems using Predictions
ICML 2025
Statistical-Computational Trade-offs for Density Estimation
NIPS 2024
Evaluating the World Model Implicit in a Generative Model
NIPS 2024
Data Structures for Density Estimation
ICML 2023