Andy Shih
15 papers · 2018–2024 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (40) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Grand Slam
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Topic Evolution
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Renaissance Researcher
(7)
π₯
Unstoppable Β· Bronze
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Conference Pioneer
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Century Club Β· Bronze
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Trend Setter
ποΈ
Keyword Collector
(78)
Top co-authors
Research topics
Artificial Intelligence
(12)
Machine Learning
(9)
Core AI
(9)
Deep Learning
(6)
Bayesian & Probabilistic Β· Artificial Intelligence
(6)
Core Methods
(5)
Models
(5)
Optimization & Theory Β· Machine Learning
(5)
Bayesian & Probabilistic Β· Machine Learning
(4)
Reinforcement Learning
(2)
Learning Types
(2)
Methods
(2)
Optimization & Theory Β· Deep Learning
(2)
Computer Science
(1)
Computer Vision
(1)
Keywords
multi-agent system
(3)
diffusion model
(3)
graphical model
(3)
probabilistic inference
(2)
classifier explanation
(2)
generative model
(2)
bayesian network classifier
(2)
inference algorithm
(2)
parallel sampling
(2)
ordered decision diagram
(2)
explainable ai
(2)
variational inference
(2)
multi-agent reinforcement learning
(2)
probabilistic circuit
(2)
probabilistic graphical model
(2)
human-ai collaboration
(2)
formal verification
(1)
feature attribution
(1)
feature importance
(1)
game theory
(1)
Papers
DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling
CVPR 2024
Diverse Conventions for Human-AI Collaboration
NeurIPS 2023
Long Horizon Temperature Scaling
ICML 2023
Parallel Sampling of Diffusion Models
NeurIPS 2023
Imitation Learning by Estimating Expertise of Demonstrators
ICML 2022
PantheonRL: A MARL Library for Dynamic Training Interactions
AAAI 2022
Training and Inference on Any-Order Autoregressive Models the Right Way
NeurIPS 2022
HyperSPNs: Compact and Expressive Probabilistic Circuits
NeurIPS 2021
Influencing Towards Stable Multi-Agent Interactions
CoRL 2021
On the Critical Role of Conventions in Adaptive Human-AI Collaboration
ICLR 2021
Probabilistic Circuits for Variational Inference in Discrete Graphical Models
NeurIPS 2020
Compiling Bayesian Network Classifiers into Decision Graphs
AAAI 2019
Smoothing Structured Decomposable Circuits
NeurIPS 2019
A Symbolic Approach to Explaining Bayesian Network Classifiers
IJCAI 2018
Formal Verification of Bayesian Network Classifiers
PGM 2018