Bo Chang
7 papers · 2018–2025 · 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 (15) π£ Hot Topic Early Bird
π
Conference Pioneer
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Research topics
Deep Learning
(4)
Machine Learning
(4)
Artificial Intelligence
(3)
Architectures
(3)
Mathematics & Optimization
(2)
Core AI
(2)
Optimization & Theory
(2)
Reinforcement Learning
(1)
Bayesian & Probabilistic
(1)
Core Methods
(1)
Learning Types
(1)
Mathematics
(1)
Methods
(1)
Models
(1)
Optimization
(1)
Keywords
dynamical system
(2)
variational inference
(1)
density estimation
(1)
structure learning
(1)
graph representation learning
(1)
model architecture
(1)
correlational learning
(1)
time series
(1)
stochastic process
(1)
exploration
(1)
bandits
(1)
monte carlo tree search
(1)
regret
(1)
probabilistic graphical model
(1)
recurrent neural network
(1)
normalizing flow
(1)
vine copula
(1)
gradient vanishing
(1)
ordinary differential equation
(1)
residual network
(1)
Papers
EVOLvE: Evaluating and Optimizing LLMs For In-Context Exploration
ICML 2025
CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks
ICLR 2021
Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows
NeurIPS 2020
AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks
ICLR 2019
Vine copula structure learning via Monte Carlo tree search
AISTATS 2019
Modular Generative Adversarial Networks
ECCV 2018
Multi-level Residual Networks from Dynamical Systems View
ICLR 2018