Daolang Huang
7 papers · 2020–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🗺️
Taxonomy Completionist
(11)
Venues
Top co-authors
Research topics
Machine Learning
(5)
Artificial Intelligence
(4)
Optimization & Theory
(4)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Deep Learning
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Learning Types
(2)
Architectures
(1)
Core AI
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Paradigms · Machine Learning
(1)
Keywords
simulation-based inference
(3)
approximate bayesian computation
(2)
amortized inference
(2)
neural process
(2)
uncertainty quantification
(1)
gaussian process
(1)
experimental design
(1)
bayesian optimization
(1)
acquisition function
(1)
policy network
(1)
transformer neural network
(1)
rejection sampling
(1)
neural posterior estimation
(1)
conditional neural process
(1)
preferential bayesian optimization
(1)
amortized bayesian inference
(1)
synthetic likelihood
(1)
self-normalised importance sampling
(1)
amortized conditioning engine
(1)
reinforcement learning
(1)
Papers
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference
AISTATS 2025
Cost-aware simulation-based inference
AISTATS 2025
PABBO: Preferential Amortized Black-Box Optimization
ICLR 2025
Amortized Bayesian Experimental Design for Decision-Making
NeurIPS 2024
Learning Robust Statistics for Simulation-based Inference under Model Misspecification
NeurIPS 2023
Practical Equivariances via Relational Conditional Neural Processes
NeurIPS 2023
Sequential Convolution and Runge-Kutta Residual Architecture for Image Compressed Sensing
ECCV 2020