Tung Mai
14 papers · 2019–2024 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (33) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Keyword Champion
(2)
π€
Dynamic Duo
(12)
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Renaissance Researcher
(5)
β‘
Prolific Year Β· Productive
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Conference Pioneer
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Century Club Β· Bronze
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Trend Setter
ποΈ
Keyword Collector
(76)
Top co-authors
Research topics
Machine Learning
(13)
Core Methods
(8)
Optimization & Theory
(7)
Artificial Intelligence
(5)
Deep Learning
(4)
Core AI
(4)
Learning Types Β· Machine Learning
(4)
Mathematics & Optimization
(3)
Optimization
(3)
Application Areas
(2)
Learning Types Β· Deep Learning
(2)
Knowledge & Reasoning
(1)
Natural Language Processing
(1)
Security & Privacy
(1)
Architectures
(1)
Keywords
average treatment effect
(2)
randomized experiment
(2)
causal inference
(2)
differential privacy
(1)
compressed sensing
(1)
double descent
(1)
active learning
(1)
link prediction
(1)
robust optimization
(1)
matrix factorization
(1)
text summarization
(1)
ridge regression
(1)
adversarial training
(1)
machine unlearning
(1)
community detection
(1)
graph representation
(1)
map inference
(1)
importance sampling
(1)
sparse regression
(1)
stochastic gradient descent
(1)
Papers
Hallucination Diversity-Aware Active Learning for Text Summarization
NAACL 2024
Exact Representation of Sparse Networks with Symmetric Nonnegative Embeddings
NeurIPS 2023
Finite Population Regression Adjustment and Non-asymptotic Guarantees for Treatment Effect Estimation
NeurIPS 2023
Optimal Sketching Bounds for Sparse Linear Regression
AISTATS 2023
Conditional Generative Model Based Predicate-Aware Query Approximation
AAAI 2022
One-Pass Algorithms for MAP Inference of Nonsymmetric Determinantal Point Processes
ICML 2022
Online Balanced Experimental Design
ICML 2022
Sample Constrained Treatment Effect Estimation
NeurIPS 2022
Asymptotics of Ridge Regression in Convolutional Models
ICML 2021
Coresets for Classification β Simplified and Strengthened
NeurIPS 2021
Fundamental Tradeoffs in Distributionally Adversarial Training
ICML 2021
Graph Neural Networks with Heterophily
AAAI 2021
Machine Unlearning via Algorithmic Stability
COLT 2021
On Densification for Minwise Hashing
UAI 2019