Anh Tong
8 papers · 2016–2025 · 5 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (17) π£ Hot Topic Early Bird
π
Grand Slam
Venues
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory
(5)
Artificial Intelligence
(3)
Data Science & Analytics
(3)
Bayesian & Probabilistic Β· Machine Learning
(3)
Core Methods
(3)
Methods
(3)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Deep Learning
(1)
Mathematics & Optimization
(1)
Application Areas
(1)
Core AI
(1)
Learning Types
(1)
Models
(1)
Probability
(1)
Keywords
gaussian process
(4)
feature alignment
(1)
bayesian inference
(1)
adversarial learning
(1)
image generation
(1)
online learning
(1)
transformer architecture
(1)
convergence analysis
(1)
unsupervised domain adaptation
(1)
kernel learning
(1)
model interpretability
(1)
time series analysis
(1)
time series
(1)
gaussian process regression
(1)
nonparametric regression
(1)
sparse approximation
(1)
indian buffet process
(1)
lyapunov exponent
(1)
label shift
(1)
change point detection
(1)
Papers
CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift
AAAI 2025
Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-tuning
ICLR 2025
Learning Fractional White Noises in Neural Stochastic Differential Equations
NeurIPS 2022
Characterizing Deep Gaussian Processes via Nonlinear Recurrence Systems
AAAI 2021
Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior
AAAI 2021
Confirmatory Bayesian Online Change Point Detection in the Covariance Structure of Gaussian Processes
IJCAI 2019
Discovering Latent Covariance Structures for Multiple Time Series
ICML 2019
Automatic Construction of Nonparametric Relational Regression Models for Multiple Time Series
ICML 2016