Khoa Trinh
7 papers · 2018–2023 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(16)
Venues
Top co-authors
Research topics
Machine Learning
(7)
Mathematics & Optimization
(4)
Core Methods
(4)
Optimization
(4)
Data Science & Analytics
(3)
Application Areas
(3)
Applications
(3)
Learning Types · Machine Learning
(3)
Optimization & Theory
(2)
Artificial Intelligence
(1)
Deep Learning
(1)
Core AI
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Keywords
approximation algorithm
(4)
fair clustering
(3)
knowledge distillation
(3)
unlabeled data
(2)
semi-supervised learning
(2)
stochastic clustering
(2)
randomized rounding
(2)
knapsack constraint
(2)
soft label
(1)
teacher-student model
(1)
unlabeled example
(1)
teacher student
(1)
combinatorial optimization
(1)
partition constraint
(1)
model compression
(1)
active learning
(1)
clustering
(1)
sample complexity
(1)
halfspace learning
(1)
clustering algorithm
(1)
Papers
Robust Active Distillation
ICLR 2023
SLaM: Student-Label Mixing for Distillation with Unlabeled Examples
NeurIPS 2023
Dependent randomized rounding for clustering and partition systems with knapsack constraints
JMLR 2022
Weighted Distillation with Unlabeled Examples
NeurIPS 2022
Dependent randomized rounding for clustering and partition systems with knapsack constraints
AISTATS 2020
Approximation Algorithms for Stochastic Clustering
JMLR 2019
Approximation algorithms for stochastic clustering
NeurIPS 2018