Lunjia Hu
13 papers · 2017–2024 · 5 conferences · across top CS/AI conferences
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Academic Marathon
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Interdisciplinary Bridge
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Conferences
NIPS (5)
COLT (3)
AISTATS (2)
ICML (2)
ALT (1)
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Keywords
approximation algorithm
(2)
learning theory
(1)
label complexity
(1)
binary classification
(1)
principal component analysis
(1)
k-means clustering
(1)
sample complexity
(1)
pac learning
(1)
mean estimation
(1)
constrained optimization
(1)
outlier detection
(1)
dynamic programming
(1)
distance estimation
(1)
agnostic learning
(1)
algorithmic fairness
(1)
robust estimation
(1)
query complexity
(1)
fat-shattering dimension
(1)
correlation clustering
(1)
representation learning
(1)
Papers
On Computationally Efficient Multi-Class Calibration
COLT 2024
Testing Calibration in Nearly-Linear Time
NIPS 2024
Multigroup Robustness
ICML 2024
Omnipredictors for Constrained Optimization
ICML 2023
Simple, Scalable and Effective Clustering via One-Dimensional Projections
NIPS 2023
When Does Optimizing a Proper Loss Yield Calibration?
NIPS 2023
Subspace Recovery from Heterogeneous Data with Non-isotropic Noise
NIPS 2022
Metric Entropy Duality and the Sample Complexity of Outcome Indistinguishability
ALT 2022
Approximation Algorithms for Orthogonal Non-negative Matrix Factorization
AISTATS 2021
Robust Mean Estimation on Highly Incomplete Data with Arbitrary Outliers
AISTATS 2021
Active Tolerant Testing
COLT 2018
Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation
NIPS 2018
Quadratic Upper Bound for Recursive Teaching Dimension of Finite VC Classes
COLT 2017